WEBVTT - Interview With Ned Davis: Masters in Business (Audio)

0:00:00.160 --> 0:00:02.440
<v Speaker 1>The future may not be clear, but our commitment is

0:00:02.600 --> 0:00:04.440
<v Speaker 1>so when you sit with an advisor at Merrill Lynch,

0:00:04.519 --> 0:00:07.160
<v Speaker 1>we'll put your interests first. Visit mL dot com and

0:00:07.240 --> 0:00:09.640
<v Speaker 1>learn more about Merrill Lynch, an affiliative Bank of America.

0:00:09.760 --> 0:00:12.240
<v Speaker 1>Mery Lynch makes available products and services offered by Merrill Lynch.

0:00:12.280 --> 0:00:14.600
<v Speaker 1>Pierce Veteran Smith Incorporated or Registered Broker Dealer. Remember s

0:00:14.640 --> 0:00:20.599
<v Speaker 1>I p c V is Masters in Business with Very

0:00:20.680 --> 0:00:26.799
<v Speaker 1>Riddholtz on Boomberg Radio. This week on the podcast, we

0:00:26.880 --> 0:00:29.680
<v Speaker 1>have an extra special guest. His name is Ned Davis.

0:00:29.680 --> 0:00:33.000
<v Speaker 1>He is the founder of the highly regarded Ned Davis

0:00:33.000 --> 0:00:36.680
<v Speaker 1>Research and author of numerous books. Will talk about that later.

0:00:37.200 --> 0:00:42.240
<v Speaker 1>Quick interesting story. Long before Masters in Business came along,

0:00:42.440 --> 0:00:46.000
<v Speaker 1>I had been kicking an idea around about finding these

0:00:46.000 --> 0:00:51.080
<v Speaker 1>really successful, articulate, intelligent people and sitting down and having

0:00:51.080 --> 0:00:54.480
<v Speaker 1>a conversation with them, and I think Ned. I'll include

0:00:54.480 --> 0:00:57.960
<v Speaker 1>the link to this on on the blog post. Ned

0:00:58.000 --> 0:01:01.320
<v Speaker 1>may have been the very first person and I spoke

0:01:01.400 --> 0:01:04.160
<v Speaker 1>to UM. We didn't on the radio. We did it

0:01:04.440 --> 0:01:08.360
<v Speaker 1>uh unedited. It was pretty much straight through. It's very rough,

0:01:08.480 --> 0:01:11.920
<v Speaker 1>but the concept for this show pretty much came from

0:01:11.920 --> 0:01:15.120
<v Speaker 1>a conversation I had with him. Uh. He is one

0:01:15.160 --> 0:01:19.280
<v Speaker 1>of the best regarded technicians around, a technicians technician. If

0:01:19.319 --> 0:01:24.000
<v Speaker 1>you were at all interested in quantitative technical trading, UM,

0:01:24.080 --> 0:01:27.039
<v Speaker 1>you're gonna love this. So, with no further ado, my

0:01:27.200 --> 0:01:36.240
<v Speaker 1>conversation with Ned Davis. My special guest today is Ned Davis.

0:01:36.520 --> 0:01:41.080
<v Speaker 1>He is the founder of renowned technical research firm ned

0:01:41.200 --> 0:01:45.680
<v Speaker 1>Davis re Research. Ned was a regular on This Week

0:01:45.840 --> 0:01:49.800
<v Speaker 1>with Lewis Rukeiser. He frequently graces the pages of Barons

0:01:49.880 --> 0:01:53.880
<v Speaker 1>and other financial publications. He founded ned Davis Research in

0:01:54.800 --> 0:01:58.200
<v Speaker 1>and now employees well over a hundred people. He is

0:01:58.240 --> 0:02:03.520
<v Speaker 1>the author of the Triumph of Contrarian Investing, Markets in

0:02:03.600 --> 0:02:07.240
<v Speaker 1>Motion and being Right or Making Money, and he's probably

0:02:07.360 --> 0:02:12.399
<v Speaker 1>best known as a technicians technician. Ned Davis, Welcome to Bloomberg.

0:02:12.800 --> 0:02:16.440
<v Speaker 1>Thank you for having me. Uh. You know, it's it's

0:02:16.440 --> 0:02:18.600
<v Speaker 1>really interesting that we have you here because when I

0:02:18.720 --> 0:02:22.800
<v Speaker 1>first started doing this, before we were broadcasting them on

0:02:22.840 --> 0:02:24.720
<v Speaker 1>the radio, you were one of the first people I

0:02:24.800 --> 0:02:27.600
<v Speaker 1>spoke with, uh, and we did a phone interview. I

0:02:27.600 --> 0:02:30.320
<v Speaker 1>want to say that was like eight or ten years ago.

0:02:30.480 --> 0:02:33.840
<v Speaker 1>A lot of stuff has happened since then. Let's let's

0:02:33.880 --> 0:02:37.280
<v Speaker 1>talk a little bit about your background. You were studying

0:02:37.600 --> 0:02:42.120
<v Speaker 1>French and I believe it was Paris when you decided, um,

0:02:42.160 --> 0:02:45.680
<v Speaker 1>I'm gonna change my career direction. Tell us, tell us

0:02:45.680 --> 0:02:48.320
<v Speaker 1>about that incident. Well, actually, I was at the University

0:02:48.360 --> 0:02:51.560
<v Speaker 1>of North Carolina and I had decided I wanted to

0:02:51.600 --> 0:02:54.000
<v Speaker 1>be a doctor, and so I was a chemistry major.

0:02:54.200 --> 0:02:57.880
<v Speaker 1>And then I decided did not want to be a doctor.

0:02:58.080 --> 0:03:01.880
<v Speaker 1>And I had was spinning part of a year in France,

0:03:02.000 --> 0:03:05.160
<v Speaker 1>and uh, so I had to graduate with something else.

0:03:05.160 --> 0:03:08.720
<v Speaker 1>And I really liked French literature, so uh that's the

0:03:08.760 --> 0:03:13.000
<v Speaker 1>way I graduated as a French major. Um, I wasn't

0:03:13.040 --> 0:03:15.560
<v Speaker 1>really sure what I wanted to do. So they have these,

0:03:15.720 --> 0:03:20.160
<v Speaker 1>uh I guess psychological tests that test your aptitude and

0:03:20.320 --> 0:03:24.440
<v Speaker 1>your interests, and they said my aptitude was in math,

0:03:25.000 --> 0:03:27.680
<v Speaker 1>but I didn't wasn't interested in math. And what I

0:03:27.720 --> 0:03:29.799
<v Speaker 1>was interested in it was verbal, but I wasn't any

0:03:29.800 --> 0:03:32.960
<v Speaker 1>good at verbal. So I's thinking. I had had two

0:03:33.080 --> 0:03:34.960
<v Speaker 1>jobs in the summer at a company called J. C.

0:03:35.080 --> 0:03:38.200
<v Speaker 1>Bradford Company as an intern, and I really liked that

0:03:38.240 --> 0:03:40.520
<v Speaker 1>you're able to write and read and write, and uh,

0:03:40.640 --> 0:03:42.880
<v Speaker 1>you be able to use your math skills. I said, well,

0:03:42.920 --> 0:03:45.360
<v Speaker 1>this is this is a perfect for me. So then

0:03:45.400 --> 0:03:47.520
<v Speaker 1>I ended up going to Harvard Business School, which I

0:03:47.560 --> 0:03:49.720
<v Speaker 1>thought I was going to learn business, but it's actually

0:03:49.720 --> 0:03:52.400
<v Speaker 1>a management school, which is not what I wanted. So

0:03:53.120 --> 0:03:55.840
<v Speaker 1>then I worked went to work full time Bradford Company.

0:03:55.920 --> 0:03:58.040
<v Speaker 1>So somewhere in the middle of that, I recall you

0:03:58.160 --> 0:04:02.880
<v Speaker 1>telling a story about study French and France. Someone made

0:04:02.880 --> 0:04:06.240
<v Speaker 1>a reference about your southern accent and you were kind

0:04:06.240 --> 0:04:09.000
<v Speaker 1>of thinking, really, I'm not sure if this is for me,

0:04:09.080 --> 0:04:13.680
<v Speaker 1>am I misremembering, Well, it was. I really did not

0:04:13.840 --> 0:04:16.080
<v Speaker 1>know much French one. And when I went to France

0:04:16.120 --> 0:04:18.719
<v Speaker 1>and uh, you know, I was trying to learn the

0:04:18.800 --> 0:04:21.760
<v Speaker 1>language is best I could. And uh we had a

0:04:21.800 --> 0:04:25.040
<v Speaker 1>class and the teacher said, oh, thank you for saying that.

0:04:25.480 --> 0:04:27.960
<v Speaker 1>Uh this was in French, of course, and she said,

0:04:27.960 --> 0:04:31.560
<v Speaker 1>I always wondered what Lyndon Johnson would sound like speaking French,

0:04:31.600 --> 0:04:34.040
<v Speaker 1>and now I know, and I'm thinking, Lyndon Johnson can

0:04:34.080 --> 0:04:39.240
<v Speaker 1>barely speak English. So I decided that, uh, speaking French

0:04:39.360 --> 0:04:41.560
<v Speaker 1>was not going to be my skill set. So you

0:04:41.640 --> 0:04:44.799
<v Speaker 1>go to j C. Bradford, you start penning a daily

0:04:45.279 --> 0:04:50.279
<v Speaker 1>technical report. What will your go to indicators or charts

0:04:50.320 --> 0:04:52.880
<v Speaker 1>back at that time. I think I was pretty much

0:04:52.880 --> 0:04:56.680
<v Speaker 1>a traditional chartist at that time and just looking at

0:04:56.760 --> 0:05:00.359
<v Speaker 1>chart patterns and uh trying to pick out stocks and

0:05:00.440 --> 0:05:02.680
<v Speaker 1>up trends and stay away from stocks and down trends.

0:05:02.720 --> 0:05:05.119
<v Speaker 1>But of course I was studying a lot of other

0:05:06.080 --> 0:05:09.200
<v Speaker 1>uh i'd say, independent research at the time, so I

0:05:09.240 --> 0:05:11.520
<v Speaker 1>was trying to learn from that. So I pretty much

0:05:12.200 --> 0:05:15.880
<v Speaker 1>I selt self taught myself my field. What was it like,

0:05:16.360 --> 0:05:20.239
<v Speaker 1>really beginning your education in the field in what turned

0:05:20.279 --> 0:05:22.839
<v Speaker 1>out to be a pretty long bear market in the

0:05:22.880 --> 0:05:28.240
<v Speaker 1>sixties and seventies. Yeah, I actually I think that makes

0:05:28.240 --> 0:05:30.760
<v Speaker 1>a big difference when you ask people what your outlook

0:05:30.800 --> 0:05:32.920
<v Speaker 1>is on the market, and I said, when when did

0:05:32.920 --> 0:05:35.279
<v Speaker 1>you start in the business, And if you started in

0:05:35.360 --> 0:05:38.640
<v Speaker 1>sixty eight like I did, you were going to live

0:05:38.680 --> 0:05:42.280
<v Speaker 1>the first fourteen years and a really grueling bear market.

0:05:42.440 --> 0:05:45.479
<v Speaker 1>So a quote of yours goes something like this, We

0:05:45.560 --> 0:05:48.960
<v Speaker 1>are on the We are in the business of making mistakes.

0:05:49.000 --> 0:05:52.279
<v Speaker 1>The only difference between the winners and the losers is

0:05:52.320 --> 0:05:55.640
<v Speaker 1>that the winners make small mistakes while the losers make

0:05:55.680 --> 0:06:00.680
<v Speaker 1>big mistakes. Discuss that a bit the whole. One Buffet's

0:06:00.720 --> 0:06:03.719
<v Speaker 1>got a quote and he says his rules. Two rules

0:06:03.760 --> 0:06:06.880
<v Speaker 1>for making money. And he said rule number one, don't

0:06:06.920 --> 0:06:10.040
<v Speaker 1>lose money. And he said rule number two, don't never

0:06:10.080 --> 0:06:14.800
<v Speaker 1>forget rule number one. So, uh, it's all about compounding

0:06:14.880 --> 0:06:17.320
<v Speaker 1>interest and compounding your returns. And if you take a

0:06:17.400 --> 0:06:21.000
<v Speaker 1>horrible loss, uh, you know, if you lose fifty on

0:06:21.040 --> 0:06:24.039
<v Speaker 1>a stock, u's not a fifty percent rise, it gets

0:06:24.080 --> 0:06:26.480
<v Speaker 1>you back to even it's a it's a hundred percent rise.

0:06:27.040 --> 0:06:29.440
<v Speaker 1>So if you have a big loss, it it's really

0:06:29.480 --> 0:06:33.279
<v Speaker 1>hard to compound your returns. So I knew there was

0:06:33.279 --> 0:06:36.040
<v Speaker 1>gonna be mistakes in the business. I'm just trying to,

0:06:36.640 --> 0:06:38.719
<v Speaker 1>you know, is find out a mistake and cut it

0:06:38.760 --> 0:06:42.160
<v Speaker 1>as quickly as possible. I think that's the key. And

0:06:42.440 --> 0:06:45.760
<v Speaker 1>early in your career you had made a number of calls,

0:06:45.760 --> 0:06:48.640
<v Speaker 1>some of which were very big calls. But I have

0:06:48.960 --> 0:06:51.880
<v Speaker 1>been following your career and reading you for so long.

0:06:52.360 --> 0:06:56.920
<v Speaker 1>I know you're thinking on predictions and forecasting has evolved

0:06:56.920 --> 0:07:00.800
<v Speaker 1>a lot. Tell us a little bit about that. Yes,

0:07:01.160 --> 0:07:04.080
<v Speaker 1>you know, it's a business of forecasting. That's what clients

0:07:04.120 --> 0:07:06.279
<v Speaker 1>want to want you to do. So that's what I

0:07:06.320 --> 0:07:09.560
<v Speaker 1>tried to do. And I studied forecasts, and I saw

0:07:09.600 --> 0:07:15.000
<v Speaker 1>a lot of forecasters make some dramatically correct forecasts, but generally,

0:07:15.520 --> 0:07:18.120
<v Speaker 1>uh they would make a great forecast and a couple

0:07:18.120 --> 0:07:20.320
<v Speaker 1>of years later make a terrible forecast. And it was

0:07:20.360 --> 0:07:22.160
<v Speaker 1>just like a flame out in the night. And I

0:07:22.200 --> 0:07:24.680
<v Speaker 1>didn't want my career to be that way. And I

0:07:25.680 --> 0:07:29.160
<v Speaker 1>was lucky enough to have some some some really good forecasts,

0:07:29.200 --> 0:07:31.600
<v Speaker 1>but I still was suspicious. And when you go back

0:07:31.640 --> 0:07:35.960
<v Speaker 1>and study the forecasting record, For example, the Federal Reserve

0:07:36.040 --> 0:07:40.680
<v Speaker 1>Board of Philadelphia has been studying for fifty years consensus

0:07:40.680 --> 0:07:44.960
<v Speaker 1>a professional economists and they look at their forecast for

0:07:45.000 --> 0:07:49.840
<v Speaker 1>the following year. There's been seven recessions since nine seventy

0:07:50.000 --> 0:07:54.520
<v Speaker 1>and the economists as a group, obviously individual economists have

0:07:54.600 --> 0:07:57.720
<v Speaker 1>done better, but as a group they called none, not

0:07:57.960 --> 0:08:01.680
<v Speaker 1>a single one of the seven recessions. And interestingly enough,

0:08:01.840 --> 0:08:05.320
<v Speaker 1>in the last since two thousand and one, they've been

0:08:05.840 --> 0:08:09.640
<v Speaker 1>eighty I think eighty six percent of the time they've

0:08:09.680 --> 0:08:13.440
<v Speaker 1>been too low on their forecast. Excuse me, the forecasts

0:08:13.440 --> 0:08:15.920
<v Speaker 1>have been too high for what the economy has actually done.

0:08:16.160 --> 0:08:19.800
<v Speaker 1>So it's a very tough field forecasting. You launched your

0:08:19.840 --> 0:08:25.000
<v Speaker 1>firm in really a couple of recessions, A long bear market.

0:08:25.560 --> 0:08:28.400
<v Speaker 1>That must have been a really challenging time to launch

0:08:28.440 --> 0:08:33.880
<v Speaker 1>a new uh services fun Well, actually, you know, we

0:08:33.880 --> 0:08:37.559
<v Speaker 1>were we sell ourselves as risk managers, and it had

0:08:37.640 --> 0:08:40.800
<v Speaker 1>been such a long period of high risk that uh

0:08:41.200 --> 0:08:46.200
<v Speaker 1>people were looking around for risk managers. And uh also

0:08:46.480 --> 0:08:49.160
<v Speaker 1>it just so happened after that period long period of

0:08:49.160 --> 0:08:52.319
<v Speaker 1>time six haiti. Most of the time I was with J. C. Bradford,

0:08:52.320 --> 0:08:56.520
<v Speaker 1>And of course retail brokerage firms are historically bullish and

0:08:56.920 --> 0:09:00.640
<v Speaker 1>should be. But uh So, anyway, us to the time

0:09:00.720 --> 0:09:03.200
<v Speaker 1>that I was there, I was negative and it was

0:09:03.280 --> 0:09:07.319
<v Speaker 1>just about the early period that I was turning more

0:09:07.360 --> 0:09:10.040
<v Speaker 1>bulish on the long term out look. So that that

0:09:10.200 --> 0:09:14.400
<v Speaker 1>was a very fortunate thing. And um so I left there.

0:09:14.520 --> 0:09:19.000
<v Speaker 1>I was a partner Bradford's, but I wanted to, I

0:09:19.000 --> 0:09:24.240
<v Speaker 1>guess my contribution to the businesses that uh this was

0:09:24.320 --> 0:09:27.360
<v Speaker 1>really before computers had taken over. In fact, they had

0:09:27.400 --> 0:09:31.040
<v Speaker 1>just started over, taking over the back offices, and uh

0:09:31.280 --> 0:09:33.440
<v Speaker 1>so I wanted to make the research that I do

0:09:33.600 --> 0:09:36.280
<v Speaker 1>computerized so that I could test some of these things

0:09:36.320 --> 0:09:39.840
<v Speaker 1>that that people saw on charts and see if any

0:09:39.880 --> 0:09:43.360
<v Speaker 1>of them worked. So you've got a lot of pushback

0:09:43.400 --> 0:09:46.200
<v Speaker 1>from Bradford saying, hey, I really think we should adapt

0:09:46.200 --> 0:09:49.199
<v Speaker 1>the new technology to our practice. They weren't very keen

0:09:49.280 --> 0:09:52.920
<v Speaker 1>on that. Well that the answer basically was if if

0:09:52.920 --> 0:09:55.319
<v Speaker 1>it ain't broke, don't fix it, which is which is

0:09:55.360 --> 0:09:57.840
<v Speaker 1>a good answer. But this is something I wanted to do.

0:09:58.040 --> 0:10:00.600
<v Speaker 1>And there were a couple of Bradford broker ed Mendel

0:10:00.679 --> 0:10:03.200
<v Speaker 1>and Kent Reagan Stein that they wanted to go out

0:10:03.200 --> 0:10:05.920
<v Speaker 1>and try this, and uh, we already had a pretty

0:10:05.920 --> 0:10:09.880
<v Speaker 1>good following, so uh, we were were We were nervous

0:10:09.920 --> 0:10:14.280
<v Speaker 1>about it obviously, but we um, we didn't use any

0:10:14.360 --> 0:10:16.760
<v Speaker 1>debt and we put up our own money and uh,

0:10:16.920 --> 0:10:18.920
<v Speaker 1>you know, we had enough customers and we made a

0:10:18.960 --> 0:10:21.319
<v Speaker 1>go of it from the beginning, launching with a handful

0:10:21.360 --> 0:10:23.400
<v Speaker 1>of customers or a decent number of customers. How to

0:10:23.440 --> 0:10:28.640
<v Speaker 1>make that transition fairly even? What were the first fairly easy?

0:10:28.760 --> 0:10:31.720
<v Speaker 1>What were the first couple of years like, um, when

0:10:31.720 --> 0:10:35.600
<v Speaker 1>you were building the business? Well, you know it was

0:10:36.640 --> 0:10:39.840
<v Speaker 1>I'm not a manager, I I'm a research nerd and

0:10:39.880 --> 0:10:42.960
<v Speaker 1>that's what I like to do. So uh, Eddie and

0:10:43.040 --> 0:10:46.400
<v Speaker 1>Kent were in Atlanta, Georgia, which Eddie Mendel and Kent

0:10:46.600 --> 0:10:49.120
<v Speaker 1>Reagan Stein, and they were. They were in Atlanta, which

0:10:49.160 --> 0:10:52.679
<v Speaker 1>is where the sales were, and I was in, uh,

0:10:52.720 --> 0:10:57.240
<v Speaker 1>just outside of Sarasota, Florida, where I lived, and so anyway,

0:10:57.280 --> 0:11:00.680
<v Speaker 1>I had to put together some people and was uh

0:11:00.840 --> 0:11:03.600
<v Speaker 1>it was it was fun being a Being a starting

0:11:03.600 --> 0:11:05.600
<v Speaker 1>manager is not something that I liked doing, but it

0:11:05.679 --> 0:11:08.800
<v Speaker 1>was fun. So after a few years you developed quite

0:11:08.800 --> 0:11:11.720
<v Speaker 1>a reputation. And one of the things that Davis Research

0:11:12.640 --> 0:11:18.120
<v Speaker 1>was known for was these specific research projects requested by clients.

0:11:18.120 --> 0:11:22.160
<v Speaker 1>In fact, uh recently they were doing more than two

0:11:22.240 --> 0:11:27.720
<v Speaker 1>thousand UH client generated research projects a year. How did

0:11:27.760 --> 0:11:32.840
<v Speaker 1>that approach develop and how how how do people approach

0:11:32.920 --> 0:11:35.000
<v Speaker 1>you with, Hey, I has an idea I want to

0:11:35.000 --> 0:11:38.440
<v Speaker 1>test out. Well, once we built our own software and

0:11:38.520 --> 0:11:43.280
<v Speaker 1>had the computers around, you know, my idea actually was

0:11:43.360 --> 0:11:46.760
<v Speaker 1>building a company similar to what Value Line had built

0:11:46.760 --> 0:11:51.120
<v Speaker 1>in the fundamental research area. UH. And I remember specifically

0:11:51.160 --> 0:11:54.600
<v Speaker 1>the date, the date that Arnold Bernhard died because Value

0:11:54.640 --> 0:11:58.079
<v Speaker 1>Line stock went up big that day, and I thought, this,

0:11:58.080 --> 0:11:59.880
<v Speaker 1>this is the kind of firm you want to be

0:12:00.000 --> 0:12:03.120
<v Speaker 1>old that people want your data, they want your charts,

0:12:03.160 --> 0:12:07.160
<v Speaker 1>they want your studies. They aren't necessarily looking for you know,

0:12:07.559 --> 0:12:11.280
<v Speaker 1>a guru that walks on water. They so I decided

0:12:11.320 --> 0:12:13.480
<v Speaker 1>to try to build a company like that. So yes,

0:12:13.520 --> 0:12:17.720
<v Speaker 1>we set up a client services department where we would say,

0:12:18.120 --> 0:12:21.360
<v Speaker 1>you have research questions, you bring them here and we'll

0:12:21.400 --> 0:12:24.199
<v Speaker 1>do the research for you. And we actually we won't

0:12:24.240 --> 0:12:27.000
<v Speaker 1>share the research with our own research team. It's it's

0:12:27.000 --> 0:12:30.560
<v Speaker 1>your proprietary product, and uh it's it's been a good

0:12:30.559 --> 0:12:34.240
<v Speaker 1>product for us. And we've come up. Actually, you know,

0:12:34.360 --> 0:12:36.560
<v Speaker 1>I don't know come we've come up. I've come up

0:12:36.600 --> 0:12:38.120
<v Speaker 1>with a lot of ideas on my own, but we

0:12:38.400 --> 0:12:42.000
<v Speaker 1>probably we say we're client driven, and uh, some of

0:12:42.000 --> 0:12:45.560
<v Speaker 1>the best ideas I've had, we're client ideas. Give us

0:12:45.760 --> 0:12:49.640
<v Speaker 1>an example of some typical client client requests or some

0:12:49.720 --> 0:12:53.280
<v Speaker 1>unusual client requests. Well, you know a lot of times

0:12:53.320 --> 0:12:55.080
<v Speaker 1>that we'll have a chart and they'll want to see

0:12:55.120 --> 0:12:57.040
<v Speaker 1>it back further or they'll want to see a different

0:12:57.160 --> 0:13:01.719
<v Speaker 1>version of it. Uh um. But you know, we had

0:13:01.720 --> 0:13:05.000
<v Speaker 1>a lot of crisis events when I got into the business,

0:13:05.040 --> 0:13:08.840
<v Speaker 1>and people said, what did the market do after there's

0:13:09.040 --> 0:13:12.040
<v Speaker 1>a major crisis event? So we went back and you know,

0:13:12.040 --> 0:13:14.800
<v Speaker 1>we tried to study history, and you know, there was

0:13:14.840 --> 0:13:18.720
<v Speaker 1>Pearl Harbor and there was JFK's assassination. I got in

0:13:18.720 --> 0:13:21.160
<v Speaker 1>the business. You know, Martin Luther King and Robert Kennedy

0:13:21.200 --> 0:13:24.480
<v Speaker 1>died the first assassinated the first year, and then you

0:13:24.520 --> 0:13:27.640
<v Speaker 1>had Penn Central and and and on and on. So

0:13:27.679 --> 0:13:30.040
<v Speaker 1>we put all this together and I saw what the

0:13:30.080 --> 0:13:34.040
<v Speaker 1>market did, and and uh, it was fascinating. Generally there

0:13:34.240 --> 0:13:37.480
<v Speaker 1>was a a sell off, as you would expect on

0:13:37.559 --> 0:13:41.679
<v Speaker 1>the news, but very short term and almost you know,

0:13:41.960 --> 0:13:44.280
<v Speaker 1>six months to a year later, the market was almost

0:13:44.320 --> 0:13:47.199
<v Speaker 1>always higher. So we had we had put this study together,

0:13:47.440 --> 0:13:49.640
<v Speaker 1>and uh we had shown it a couple of times

0:13:49.640 --> 0:13:53.600
<v Speaker 1>in publications, and then uh, on nine eleven, um, we

0:13:53.679 --> 0:13:56.040
<v Speaker 1>got a call from We put it out again and

0:13:56.280 --> 0:13:58.600
<v Speaker 1>we got a call from Barns and they wanted to

0:13:58.720 --> 0:14:02.520
<v Speaker 1>use it. And uh, you know it as terrible as

0:14:02.559 --> 0:14:06.600
<v Speaker 1>that tragedy was, the study was very timely and that

0:14:06.760 --> 0:14:08.520
<v Speaker 1>you know, there was a week cell often it was

0:14:08.559 --> 0:14:11.920
<v Speaker 1>a very scary time. But uh, the market did recover

0:14:12.000 --> 0:14:16.440
<v Speaker 1>after that pretty well. So in response to unexpected geopolitical events,

0:14:17.080 --> 0:14:20.880
<v Speaker 1>markets wobble and then go about resuming the prior trends exactly.

0:14:20.960 --> 0:14:24.600
<v Speaker 1>Sometimes sometimes you know, they do better. Uh, it's it's

0:14:24.720 --> 0:14:28.000
<v Speaker 1>it's the logic's a little difficult to understand. But if

0:14:28.080 --> 0:14:31.840
<v Speaker 1>you're a nervous holder of stock and some bad news comes, uh,

0:14:32.240 --> 0:14:36.040
<v Speaker 1>you panic out, and uh, then who's left or are

0:14:36.120 --> 0:14:39.400
<v Speaker 1>strongholders of stock? So you know, it's at that point

0:14:39.400 --> 0:14:42.040
<v Speaker 1>it's it's hard to get people to sell. After you've

0:14:42.040 --> 0:14:46.560
<v Speaker 1>gotten the nervous people out, you've got good strongholders of stock. Counterintuitive,

0:14:46.640 --> 0:14:49.040
<v Speaker 1>but you get a wash out and then you're only

0:14:49.120 --> 0:14:52.960
<v Speaker 1>left with with people who are not likely to to

0:14:53.120 --> 0:14:56.800
<v Speaker 1>jump out at any given moment. When the exception to this,

0:14:57.000 --> 0:15:00.680
<v Speaker 1>of course really and they're not many, but the exception

0:15:00.760 --> 0:15:04.840
<v Speaker 1>was Lehman, which was a panic event that uh there

0:15:04.920 --> 0:15:08.000
<v Speaker 1>was systemic and I think that that is a key

0:15:08.080 --> 0:15:11.080
<v Speaker 1>when you're looking at crisis events. If if if it's

0:15:11.120 --> 0:15:14.160
<v Speaker 1>going to uh take down the financial system, then and

0:15:14.400 --> 0:15:19.280
<v Speaker 1>the study is not gonna work. But pretty much anything else, wars, bombings,

0:15:19.880 --> 0:15:22.520
<v Speaker 1>terror attacks, uh you know, the worst things you can

0:15:22.560 --> 0:15:26.960
<v Speaker 1>think of, assassination of a president. Uh, these things pretty

0:15:27.000 --> 0:15:29.760
<v Speaker 1>much all fit the same pattern. Even Lehman Brothers was

0:15:29.800 --> 0:15:34.840
<v Speaker 1>September eight. Markets had peaked October oh seven, so it

0:15:34.880 --> 0:15:38.880
<v Speaker 1>had been practically a year of downtrend that wouldn't the

0:15:38.920 --> 0:15:42.600
<v Speaker 1>only real difference between the trend is Lehman just precipitated

0:15:42.600 --> 0:15:46.120
<v Speaker 1>in an acceleration. That's partly true, but I think the

0:15:46.840 --> 0:15:51.560
<v Speaker 1>systemic part to the banking systems critical. Let's talk a

0:15:51.640 --> 0:15:56.640
<v Speaker 1>little bit about um technical analysis. So you were an

0:15:56.640 --> 0:16:01.080
<v Speaker 1>early adopter not only of technical analysis, it of technology

0:16:01.160 --> 0:16:04.640
<v Speaker 1>as well. Tell us how that changed the way you

0:16:04.720 --> 0:16:08.720
<v Speaker 1>looked at markets. Well, you know, you start off you

0:16:08.800 --> 0:16:12.200
<v Speaker 1>read Edwards and McGee, a technical analysis book or a

0:16:12.200 --> 0:16:16.359
<v Speaker 1>lot of other really well written books on chart patterns,

0:16:16.520 --> 0:16:20.840
<v Speaker 1>and uh, then you start applying that and you, uh

0:16:21.880 --> 0:16:24.320
<v Speaker 1>you see a head and shoulders bottom, and you say, oh,

0:16:24.360 --> 0:16:27.720
<v Speaker 1>my goodness, is stuck is turning up? And then you're

0:16:27.720 --> 0:16:30.720
<v Speaker 1>reading another report and somebody's looking at the same chart

0:16:30.800 --> 0:16:32.480
<v Speaker 1>and they say, oh, no, that's that's a head and

0:16:32.480 --> 0:16:37.400
<v Speaker 1>shoulders top, and uh it was almost like, uh, you

0:16:37.520 --> 0:16:39.960
<v Speaker 1>made your own reality. You looked at a chart and

0:16:40.040 --> 0:16:43.680
<v Speaker 1>you saw what you wanted to see. So uh, I

0:16:43.720 --> 0:16:46.920
<v Speaker 1>said that I can't do this. I have to uh

0:16:47.120 --> 0:16:50.600
<v Speaker 1>have it more quantitative. I've got to test these things

0:16:50.680 --> 0:16:52.680
<v Speaker 1>and see whether they work or not. So that that

0:16:52.760 --> 0:16:56.400
<v Speaker 1>was the idea really of going to technology. I also

0:16:56.440 --> 0:17:01.120
<v Speaker 1>at that point had gotten interested in other people that

0:17:01.200 --> 0:17:04.639
<v Speaker 1>seemed very successful in the business. One of my mentors

0:17:04.680 --> 0:17:08.040
<v Speaker 1>was a guy named Edson Gould and Uh. He was

0:17:08.080 --> 0:17:13.240
<v Speaker 1>a technician, UM, but he also really believed that the

0:17:13.240 --> 0:17:16.640
<v Speaker 1>stock market and the economy were driven by crowd psychology,

0:17:17.119 --> 0:17:19.240
<v Speaker 1>and he was also a study or of the Federal

0:17:19.240 --> 0:17:24.000
<v Speaker 1>Reserve Board. Also became good friends with Marty's why. He

0:17:24.080 --> 0:17:27.200
<v Speaker 1>started out as a sentiment guy too, and he ended

0:17:27.280 --> 0:17:30.240
<v Speaker 1>up like me, don't fight the Fed, don't fight the tape.

0:17:30.320 --> 0:17:33.879
<v Speaker 1>So so Marty's wage is always my answer to the

0:17:34.000 --> 0:17:37.520
<v Speaker 1>question how come there are no rich technicians? And the

0:17:37.600 --> 0:17:41.160
<v Speaker 1>answer is there are a ton of very successful people

0:17:41.160 --> 0:17:45.800
<v Speaker 1>who use technicals as a fundamental basis of their trading

0:17:45.840 --> 0:17:48.520
<v Speaker 1>and their investment strategy. Did you get a lot of

0:17:48.560 --> 0:17:55.160
<v Speaker 1>pushback from your work from the fundamental community? I think originally, uh,

0:17:56.000 --> 0:18:00.840
<v Speaker 1>there were only a handful Alan Shaw Feral. They were

0:18:00.840 --> 0:18:05.120
<v Speaker 1>really only a handful of technicians that that were UH

0:18:05.160 --> 0:18:08.280
<v Speaker 1>in high regard, and so it was difficult at first.

0:18:08.320 --> 0:18:11.000
<v Speaker 1>But you know, again, once you go through a bear market,

0:18:11.119 --> 0:18:13.800
<v Speaker 1>people look around and say, you know, I need to Uh,

0:18:14.160 --> 0:18:16.399
<v Speaker 1>I can't just buy and hold all the time without

0:18:16.520 --> 0:18:19.720
<v Speaker 1>concern over anything. I have to, you know, manage my risks,

0:18:19.760 --> 0:18:24.360
<v Speaker 1>and so it's gotten obviously a lot more popular. How

0:18:24.400 --> 0:18:31.400
<v Speaker 1>did technicals differ at the institutional level and the retail level. Well,

0:18:31.520 --> 0:18:34.560
<v Speaker 1>I think retail was, you know, more interested in just

0:18:35.000 --> 0:18:40.359
<v Speaker 1>you know, short term movements and stocks, and uh, institutionals

0:18:40.359 --> 0:18:44.439
<v Speaker 1>are more interested in a big picture, uh, maybe tying

0:18:44.480 --> 0:18:47.000
<v Speaker 1>it in with the macro and and and the FED

0:18:47.760 --> 0:18:51.080
<v Speaker 1>and sentiment and a lot longer term things. And I

0:18:51.119 --> 0:18:55.440
<v Speaker 1>had also gotten interested uh you know in the in

0:18:55.520 --> 0:18:59.879
<v Speaker 1>the FED, Federal Reserve boards. Uh, you know, emphasis on

0:19:00.040 --> 0:19:02.800
<v Speaker 1>in the stock market, and so trying to put things

0:19:02.840 --> 0:19:06.560
<v Speaker 1>in perspective. Guy named Hamilton's Bolton with the bike credit

0:19:06.560 --> 0:19:09.560
<v Speaker 1>analysts had put together a monetary thermometer which was really

0:19:10.040 --> 0:19:13.720
<v Speaker 1>one of the first models that they had timing model

0:19:14.160 --> 0:19:17.880
<v Speaker 1>using a Federal Reserve statistics and I was really fascinated

0:19:17.920 --> 0:19:23.240
<v Speaker 1>by that. So these days there's a near infinite amount

0:19:23.320 --> 0:19:27.520
<v Speaker 1>of charting software. You could pretty much access a ton

0:19:27.600 --> 0:19:33.520
<v Speaker 1>of really highly detailed um technical studies, some of which

0:19:33.560 --> 0:19:37.240
<v Speaker 1>are are free, some of which are fairly modest modestly priced.

0:19:37.840 --> 0:19:41.000
<v Speaker 1>What has the ubiquity of computing power and all the

0:19:41.080 --> 0:19:45.639
<v Speaker 1>software done to the world of trading and investing. Well,

0:19:45.880 --> 0:19:48.240
<v Speaker 1>it's a it's a it's a good question, and the

0:19:48.359 --> 0:19:52.280
<v Speaker 1>answers complicated. Uh, there's a lot of good ideas. You know,

0:19:52.359 --> 0:19:55.080
<v Speaker 1>this happens to be one that fits my psyche on

0:19:55.160 --> 0:19:57.120
<v Speaker 1>how to invest. But there's a lot of good ideas

0:19:57.840 --> 0:20:00.159
<v Speaker 1>about how to invest and how to make money. The

0:20:00.240 --> 0:20:04.240
<v Speaker 1>one key problem is if something gets too popular, it's

0:20:04.280 --> 0:20:08.080
<v Speaker 1>gonna hurt its effectiveness. So um, but this is true

0:20:08.119 --> 0:20:11.359
<v Speaker 1>of anything. I remember in the nineteen eighties, which was

0:20:12.440 --> 0:20:14.720
<v Speaker 1>a big period because it was the start of my company,

0:20:14.720 --> 0:20:17.400
<v Speaker 1>and uh it was it was a bullmarket period and

0:20:18.000 --> 0:20:20.879
<v Speaker 1>people didn't need risk advisors for a while, and and

0:20:21.080 --> 0:20:25.760
<v Speaker 1>uh we got into seven and uh I got really,

0:20:26.080 --> 0:20:29.320
<v Speaker 1>uh really worried about derivatives and what they could do

0:20:29.440 --> 0:20:32.800
<v Speaker 1>to the market. But anyway, that are your friends of

0:20:32.880 --> 0:20:37.240
<v Speaker 1>portfolio insurance or something broad portfolio insurance, which was part

0:20:37.280 --> 0:20:40.240
<v Speaker 1>of part of using derivatives to do portfolio insurance. And

0:20:40.320 --> 0:20:43.560
<v Speaker 1>actually I thought portfolio insurance is one of the coolest

0:20:43.600 --> 0:20:47.480
<v Speaker 1>ideas I've ever heard of it and actually fit exactly

0:20:47.520 --> 0:20:51.280
<v Speaker 1>what I want to do with my heads work. I want,

0:20:51.359 --> 0:20:53.440
<v Speaker 1>you know, I want to protect my portfolio and a

0:20:53.520 --> 0:20:56.320
<v Speaker 1>downtrend and so it was a great idea and it

0:20:56.400 --> 0:20:59.520
<v Speaker 1>was widely sold on Wall Street and then uh, you know,

0:20:59.600 --> 0:21:02.560
<v Speaker 1>the mark it started down and unfortunately I was able

0:21:02.600 --> 0:21:05.840
<v Speaker 1>to to sort to sort of see this one. So

0:21:06.200 --> 0:21:08.520
<v Speaker 1>anyway that we had, we had a crash that I

0:21:08.560 --> 0:21:11.560
<v Speaker 1>think was calls really by a great idea that got

0:21:11.600 --> 0:21:15.600
<v Speaker 1>too popular. So, um, this is the thing when technical

0:21:15.640 --> 0:21:19.200
<v Speaker 1>analysis gets so popular. Everybody's looking at the same patterns

0:21:19.240 --> 0:21:21.960
<v Speaker 1>and the same breakouts and acting on them. It's not

0:21:22.000 --> 0:21:24.200
<v Speaker 1>going to act as well as if you could find

0:21:24.280 --> 0:21:27.439
<v Speaker 1>something that nobody's looking at. Let's talk a little bit

0:21:27.480 --> 0:21:32.639
<v Speaker 1>about the stock market and what separates good investors from

0:21:32.640 --> 0:21:36.560
<v Speaker 1>not so good investors. Uh, you wrote something not too

0:21:36.560 --> 0:21:38.720
<v Speaker 1>long ago in one of your books, or maybe it

0:21:38.760 --> 0:21:42.639
<v Speaker 1>was a little while ago. Good investors, successful investors have

0:21:42.720 --> 0:21:48.199
<v Speaker 1>four basic traits. Their objective, their disciplines, they're flexible, and

0:21:48.240 --> 0:21:51.280
<v Speaker 1>their risk averse. Is it that simple, It's just those

0:21:51.280 --> 0:21:53.560
<v Speaker 1>four things. You do that and you're good to be

0:21:53.600 --> 0:21:57.480
<v Speaker 1>a good investor. Yes, it's complicated when you say those

0:21:57.520 --> 0:22:01.600
<v Speaker 1>things together because people think, well, discipline is the opposite

0:22:01.600 --> 0:22:04.840
<v Speaker 1>of flexible. But when we use the term flexible really

0:22:04.840 --> 0:22:07.920
<v Speaker 1>really thinking about open mindedness and and This is one

0:22:07.960 --> 0:22:10.119
<v Speaker 1>of the curses in my life, or one of the

0:22:10.160 --> 0:22:13.520
<v Speaker 1>gifts in my life, is that if there's a debate,

0:22:13.560 --> 0:22:16.720
<v Speaker 1>I could pretty well take both sides, uh and do

0:22:16.760 --> 0:22:19.520
<v Speaker 1>a pretty good job. That means you're objective. I have

0:22:19.640 --> 0:22:21.959
<v Speaker 1>a gift of being able to see both sides. The

0:22:21.960 --> 0:22:24.639
<v Speaker 1>negative is it's it's hard to be a hundred percent

0:22:25.119 --> 0:22:29.600
<v Speaker 1>black or white when you can see the world's actually gray.

0:22:30.280 --> 0:22:33.480
<v Speaker 1>What about what about risk of verse because we're taught

0:22:33.520 --> 0:22:36.400
<v Speaker 1>that risk aversion often leads people to be too quick

0:22:36.440 --> 0:22:38.879
<v Speaker 1>to jump out of equities when they should be a

0:22:38.920 --> 0:22:42.879
<v Speaker 1>little more risk embracing. Yes, well, that's a good question

0:22:42.960 --> 0:22:46.439
<v Speaker 1>because it happens to be the one piece of my

0:22:46.560 --> 0:22:50.160
<v Speaker 1>philosophy that it has changed over the years because there's

0:22:50.240 --> 0:22:52.040
<v Speaker 1>a lot of risk takers that have made a lot

0:22:52.119 --> 0:22:55.719
<v Speaker 1>of money. But what they do is they manage their risks.

0:22:55.760 --> 0:22:59.240
<v Speaker 1>So they'll they'll take a big position, but if it

0:22:59.320 --> 0:23:01.920
<v Speaker 1>if it goes hour or the news changes that they

0:23:01.960 --> 0:23:05.000
<v Speaker 1>get out. So it's still a matter. It's still a

0:23:05.000 --> 0:23:07.600
<v Speaker 1>matter of risk management. But I think the term risk

0:23:07.640 --> 0:23:13.840
<v Speaker 1>averse was came from being in the market from two

0:23:13.920 --> 0:23:18.199
<v Speaker 1>frankly so, speaking of which those who study history are

0:23:18.200 --> 0:23:22.320
<v Speaker 1>contemned to repeat its mistakes. How difficult is it for

0:23:22.400 --> 0:23:28.040
<v Speaker 1>investors to learn the lessons that history presents to us? Well,

0:23:28.200 --> 0:23:31.520
<v Speaker 1>it's tricky because you want to learn the correct lessons

0:23:31.520 --> 0:23:33.359
<v Speaker 1>and you don't want to learn the bad lessons, and

0:23:33.400 --> 0:23:36.520
<v Speaker 1>it's a little hard to know, uh, which it is.

0:23:36.520 --> 0:23:38.879
<v Speaker 1>So what happens is there will be a period of

0:23:38.960 --> 0:23:41.760
<v Speaker 1>time and there was a mistake during that period of time,

0:23:41.800 --> 0:23:43.959
<v Speaker 1>and everybody learns and says, well, I won't make that

0:23:44.040 --> 0:23:47.720
<v Speaker 1>mistake again. And then times change and periods change in

0:23:47.800 --> 0:23:52.439
<v Speaker 1>areas change, and uh, everybody's learned that the lesson of

0:23:52.520 --> 0:23:55.399
<v Speaker 1>that period, but not the next period. So again, I

0:23:55.440 --> 0:23:59.399
<v Speaker 1>think the real lesson is studying, Uh, studying history is

0:24:00.160 --> 0:24:06.040
<v Speaker 1>seeing Mania's bubbles saying, uh, you know extremes from extreme

0:24:06.160 --> 0:24:11.520
<v Speaker 1>pessimism to extreme optimism, and uh, how these end up?

0:24:11.720 --> 0:24:14.679
<v Speaker 1>How how they end up? And uh, that's the lesson.

0:24:14.720 --> 0:24:19.000
<v Speaker 1>It's not just put oh portfolio insurances is something I'll

0:24:19.000 --> 0:24:21.920
<v Speaker 1>never do again. That that's not really the lesson. The

0:24:22.040 --> 0:24:25.879
<v Speaker 1>lesson is it got too popular, the market got too high,

0:24:25.920 --> 0:24:28.600
<v Speaker 1>there was too much optimism, and that that that is

0:24:28.640 --> 0:24:31.919
<v Speaker 1>a terrible combination. That's the lesson to learn. So so

0:24:32.040 --> 0:24:37.359
<v Speaker 1>between the extremes of of too much pessimism like we

0:24:37.400 --> 0:24:40.719
<v Speaker 1>saw in eighty seven and seventy three, seventy four and

0:24:41.480 --> 0:24:45.680
<v Speaker 1>oh three and oh nine, and too much optimism with

0:24:45.880 --> 0:24:49.040
<v Speaker 1>sixty six, and go through the list sixty six and

0:24:49.080 --> 0:24:52.160
<v Speaker 1>two thousand and then again in in oh seven, although

0:24:52.160 --> 0:24:54.360
<v Speaker 1>I don't know if that was as much too much

0:24:54.359 --> 0:24:58.040
<v Speaker 1>optimism as as you mentioned a systemic problem. Where are

0:24:58.080 --> 0:25:01.560
<v Speaker 1>we in that spectrum between too much negativity and too

0:25:01.640 --> 0:25:05.520
<v Speaker 1>much enthusiasm? Yes, I mean it was Templeton that said, uh,

0:25:05.720 --> 0:25:11.160
<v Speaker 1>bull markets are born and pessimism. They rise on skepticism,

0:25:11.320 --> 0:25:15.760
<v Speaker 1>they mature on optimism, and they die on euphoria. And uh,

0:25:15.880 --> 0:25:19.720
<v Speaker 1>I think that's pretty much what we've seen. Uh since

0:25:19.760 --> 0:25:22.760
<v Speaker 1>two thousand nine, we've gone through those phases. And I

0:25:22.800 --> 0:25:26.800
<v Speaker 1>think after the election, for for whatever reason, we got

0:25:26.840 --> 0:25:29.680
<v Speaker 1>we went into the euphoric stage. And you can see this,

0:25:29.960 --> 0:25:34.560
<v Speaker 1>uh in all kinds of consumer confidence, business confidence, UH

0:25:34.960 --> 0:25:41.240
<v Speaker 1>CEO confidence, UH soft sentiment data got way way higher

0:25:41.280 --> 0:25:43.920
<v Speaker 1>than it was for it. But we just this isn't

0:25:44.000 --> 0:25:46.600
<v Speaker 1>this is an early phase of euphoria. So I don't

0:25:46.680 --> 0:25:49.480
<v Speaker 1>I don't necessarily think this is the end, but I

0:25:49.520 --> 0:25:52.119
<v Speaker 1>think you can certainly seem see euphour you and that

0:25:52.280 --> 0:25:55.480
<v Speaker 1>that's uh, that's a high risk phase. So so what

0:25:55.560 --> 0:25:59.119
<v Speaker 1>should investors do to manage their risk? What's what's the

0:25:59.160 --> 0:26:02.439
<v Speaker 1>best approach for someone's listening to this, they have a

0:26:02.440 --> 0:26:04.159
<v Speaker 1>couple of million dollars in the four oh one K

0:26:04.359 --> 0:26:09.160
<v Speaker 1>and their investment portfolios, how should they manage that? Well,

0:26:09.200 --> 0:26:12.200
<v Speaker 1>you know, as if if you're a chartist and that's

0:26:12.240 --> 0:26:17.040
<v Speaker 1>your your background, you can see formations, you see demand

0:26:17.119 --> 0:26:20.879
<v Speaker 1>on a chart, or you see trend lines and UM

0:26:21.000 --> 0:26:25.720
<v Speaker 1>or you just use stop losses below important lows and uh,

0:26:26.040 --> 0:26:28.840
<v Speaker 1>if the market turns down, you you just get stopped out.

0:26:29.600 --> 0:26:34.040
<v Speaker 1>Other people might want to right now, the protection the

0:26:34.160 --> 0:26:39.040
<v Speaker 1>insurance portfolio insurance for portfolios, the vix is very low.

0:26:39.160 --> 0:26:41.720
<v Speaker 1>Vix is how much it costs to buy options. The

0:26:41.800 --> 0:26:43.720
<v Speaker 1>vix is very low. You can buy some puts to

0:26:43.720 --> 0:26:48.240
<v Speaker 1>protect your portfolio, uh, some hedge fund short stocks, you

0:26:48.280 --> 0:26:51.440
<v Speaker 1>can use, put some money in cash and wait for pullback.

0:26:51.520 --> 0:26:53.640
<v Speaker 1>So there's a lot lots of things you can do.

0:26:54.840 --> 0:26:59.600
<v Speaker 1>So is an interesting um question that comes up with

0:26:59.640 --> 0:27:05.200
<v Speaker 1>the eyes of technical technical analysis, which is thanks to computers,

0:27:05.200 --> 0:27:08.440
<v Speaker 1>we could pretty much put anything on a chart. How

0:27:08.480 --> 0:27:13.560
<v Speaker 1>how advisable is it to chart everything you possibly can make?

0:27:13.600 --> 0:27:16.080
<v Speaker 1>You look at earnings, you could look at everything from

0:27:16.119 --> 0:27:19.200
<v Speaker 1>GDP to what have you. There really isn't any data

0:27:19.280 --> 0:27:22.640
<v Speaker 1>series that can't be put on a chart. Now, and

0:27:22.800 --> 0:27:25.200
<v Speaker 1>that's what we do. I mean, that's what my business

0:27:25.240 --> 0:27:28.879
<v Speaker 1>does pretty much. And we we actually analyze the economy

0:27:29.240 --> 0:27:31.359
<v Speaker 1>pretty much the same way we do the stock market,

0:27:31.400 --> 0:27:35.119
<v Speaker 1>and we use centimon indicators, we use trend indicators. Uh.

0:27:35.160 --> 0:27:38.560
<v Speaker 1>In the economy, there's a lot of indicators that tend

0:27:38.600 --> 0:27:41.680
<v Speaker 1>to lead the economy, So we put most of our

0:27:41.720 --> 0:27:45.200
<v Speaker 1>emphasis on the leading and leading economic indicators. And when

0:27:45.200 --> 0:27:49.080
<v Speaker 1>they're turning up and are strong, then that's a good sign.

0:27:49.119 --> 0:27:51.600
<v Speaker 1>So we I do this somewhat. In the stock market,

0:27:51.920 --> 0:27:55.920
<v Speaker 1>there's certain groups and sectors that tend to lead the market, uh,

0:27:55.960 --> 0:27:58.600
<v Speaker 1>and so we put our main emphasis on those the

0:27:58.640 --> 0:28:01.920
<v Speaker 1>trend of those all. So we look for the economy

0:28:02.200 --> 0:28:04.359
<v Speaker 1>or the stock market, we look for the Federal Reserve

0:28:04.440 --> 0:28:06.639
<v Speaker 1>Board and what are they doing? Because they control the

0:28:06.680 --> 0:28:09.520
<v Speaker 1>cost of money and the availability of money, And if

0:28:09.520 --> 0:28:12.520
<v Speaker 1>you're looking at supplying demand, which is what technical analysis

0:28:12.560 --> 0:28:15.640
<v Speaker 1>is all about, how can you ignore the Federal Reserve Board?

0:28:15.640 --> 0:28:18.560
<v Speaker 1>You really can't talk to me about big MO. It's

0:28:18.560 --> 0:28:21.359
<v Speaker 1>one of my favorite charts of yours. How did how

0:28:21.400 --> 0:28:23.439
<v Speaker 1>did the idea come about? And what tell us what

0:28:23.480 --> 0:28:26.439
<v Speaker 1>it actually depicts? Okay, Big MO is just the trend

0:28:26.440 --> 0:28:30.439
<v Speaker 1>of a hundred hundred industry groups, hundreds of industry groups,

0:28:30.440 --> 0:28:33.439
<v Speaker 1>and it's the cyclical trends. So we're talking, you know,

0:28:33.520 --> 0:28:37.280
<v Speaker 1>a year or two kind of trends. Uh, But I

0:28:37.560 --> 0:28:40.120
<v Speaker 1>called it and put the MO in there. We also

0:28:40.200 --> 0:28:43.440
<v Speaker 1>look at rates of change, how fast a group is

0:28:43.560 --> 0:28:48.800
<v Speaker 1>rising or falling in the momentum indicators UM are trends sensitive,

0:28:48.880 --> 0:28:52.920
<v Speaker 1>but they're not exactly trend indicators, so they can be early.

0:28:53.080 --> 0:28:55.880
<v Speaker 1>So when you put the trend following indicators and uh,

0:28:56.640 --> 0:28:59.720
<v Speaker 1>the momentum indicators together, I think you can get a

0:28:59.760 --> 0:29:02.880
<v Speaker 1>little closer to tops and bottoms, and big motto right

0:29:02.920 --> 0:29:06.240
<v Speaker 1>now shows about of those industry groups are still in

0:29:06.320 --> 0:29:10.400
<v Speaker 1>strong uptrends and and that that's a decent figure. It's

0:29:10.600 --> 0:29:13.560
<v Speaker 1>high neutral, I would say, mili bullish, and we we

0:29:13.760 --> 0:29:17.640
<v Speaker 1>use below fifty as as a warning sign. So you

0:29:17.680 --> 0:29:22.680
<v Speaker 1>mentioned UM the rising sentiment indicators earlier. H Someone did

0:29:22.680 --> 0:29:25.840
<v Speaker 1>a study not too long ago that showed the largest

0:29:25.880 --> 0:29:33.400
<v Speaker 1>gap ever between soft survey sentiment information and hard actual data.

0:29:34.400 --> 0:29:35.840
<v Speaker 1>What do you what do you think of that gap

0:29:35.920 --> 0:29:41.760
<v Speaker 1>between between the two. Well, I think clearly the soft

0:29:41.800 --> 0:29:45.560
<v Speaker 1>tends to be leading UH leads the hard. So the

0:29:45.600 --> 0:29:48.480
<v Speaker 1>fact that the soft is strong in the heart is

0:29:49.200 --> 0:29:54.640
<v Speaker 1>weak UH is not necessarily a bad sign. However, this

0:29:54.720 --> 0:29:58.720
<v Speaker 1>works much better depending on where you are in a cycle.

0:29:59.200 --> 0:30:02.520
<v Speaker 1>If you're coming out of a recession and there's a

0:30:02.520 --> 0:30:05.480
<v Speaker 1>lot of unused labor, unused capital, there's a lot of

0:30:05.520 --> 0:30:10.200
<v Speaker 1>savings around UH, and then sentiment source will people have

0:30:10.320 --> 0:30:13.760
<v Speaker 1>the ability to go out and and spend. And we

0:30:13.800 --> 0:30:16.600
<v Speaker 1>saw this in two thousand nine, two thousand ten. Now

0:30:16.600 --> 0:30:19.720
<v Speaker 1>we're getting the same kind of sentiment readings now, but

0:30:19.800 --> 0:30:22.880
<v Speaker 1>we've had nine years of an expansion and and people

0:30:22.920 --> 0:30:25.920
<v Speaker 1>have very little savings. They're up to their teeth. Uh.

0:30:26.040 --> 0:30:28.920
<v Speaker 1>You got over a treeon dollars in student debt. You know,

0:30:28.960 --> 0:30:30.960
<v Speaker 1>I've got a tree in dollars a credit card debt,

0:30:30.960 --> 0:30:34.400
<v Speaker 1>and you've got a tree in dollars in auto debt. Uh.

0:30:34.720 --> 0:30:37.960
<v Speaker 1>So it's a lot different things. So, yes, I think

0:30:38.000 --> 0:30:39.800
<v Speaker 1>the hard we think the hard debt is going to

0:30:39.880 --> 0:30:43.600
<v Speaker 1>come on, but not by much so since we're talking

0:30:43.600 --> 0:30:47.800
<v Speaker 1>about sentiment. How noisy is the series of sentiment data.

0:30:47.880 --> 0:30:52.040
<v Speaker 1>It seems that there's a lot of fairly wild swings

0:30:52.080 --> 0:30:55.960
<v Speaker 1>over short periods of time. Well, it just depends on

0:30:56.040 --> 0:30:58.840
<v Speaker 1>who you're you know, what your survey is. If it's

0:30:58.880 --> 0:31:03.400
<v Speaker 1>futures traders, they're gonna be pretty quick. Uh. You know

0:31:03.640 --> 0:31:07.040
<v Speaker 1>a C e O s don't change their opinion that often.

0:31:07.120 --> 0:31:12.040
<v Speaker 1>So it depends. But there there are small surveys and uh,

0:31:12.280 --> 0:31:15.160
<v Speaker 1>if Trump proved anything, he proved that you know that

0:31:15.280 --> 0:31:20.080
<v Speaker 1>polls aren't always right. So what we do, Uh, we

0:31:20.360 --> 0:31:22.440
<v Speaker 1>look at a lot of polls. We also look at

0:31:22.440 --> 0:31:26.000
<v Speaker 1>what people are doing in terms of option trading, Uh,

0:31:26.440 --> 0:31:31.160
<v Speaker 1>how optimistic people are, upside volume versus downside volume, a

0:31:31.200 --> 0:31:34.400
<v Speaker 1>lot of measures of activity. And we put all these

0:31:34.440 --> 0:31:37.800
<v Speaker 1>together in a composite model. I think we Uh, one

0:31:37.840 --> 0:31:40.080
<v Speaker 1>of the ones we use as twenty eight indicators in it.

0:31:40.160 --> 0:31:42.720
<v Speaker 1>So if some of them are are fake news, then

0:31:43.320 --> 0:31:46.920
<v Speaker 1>you hope the majority picks up the correct picture. What's

0:31:46.960 --> 0:31:50.080
<v Speaker 1>what's the name of that particular charter And well we

0:31:50.120 --> 0:31:53.320
<v Speaker 1>have the indie our crowd sentiment poll. We have been

0:31:53.360 --> 0:31:57.040
<v Speaker 1>speaking with Nid Davis, co founder of nid Davis Research.

0:31:57.520 --> 0:32:00.480
<v Speaker 1>If you enjoy this conversation, be sure as stick around

0:32:00.480 --> 0:32:03.280
<v Speaker 1>for the podcast extras, where we keep the digital tape

0:32:03.360 --> 0:32:06.840
<v Speaker 1>rolling and continue to talk about all things technical. Be

0:32:06.920 --> 0:32:09.920
<v Speaker 1>sure and check out my daily column at Bloomberg View

0:32:09.960 --> 0:32:14.040
<v Speaker 1>dot com. Follow me on Twitter at rid Holts. I'm

0:32:14.080 --> 0:32:17.200
<v Speaker 1>Barry rid Holts. You're listening to Masters in Business on

0:32:17.240 --> 0:32:26.640
<v Speaker 1>Bloomberg Radio. What could your future hold more than you

0:32:26.680 --> 0:32:28.600
<v Speaker 1>think because at Merrill Lynch we work with you to

0:32:28.680 --> 0:32:31.680
<v Speaker 1>create a strategy built around your priorities. Visit mL dot

0:32:31.680 --> 0:32:34.000
<v Speaker 1>com and learn more about Merrill Lynch. An affiliated Bank

0:32:34.040 --> 0:32:36.560
<v Speaker 1>of America. Merrill Lynch makes available products and services offered

0:32:36.560 --> 0:32:38.560
<v Speaker 1>by Merrill Lynch. Pierce, Feder and Smith Incorporated, a registered

0:32:38.560 --> 0:32:44.840
<v Speaker 1>broker dealer. Remember s I PC. Welcome to the podcast.

0:32:44.880 --> 0:32:47.560
<v Speaker 1>Thank you so much, ned for doing this. I have

0:32:47.680 --> 0:32:52.840
<v Speaker 1>to share the funny story. When I first started writing

0:32:52.880 --> 0:32:56.920
<v Speaker 1>for Bloomberg about three or four years ago, they came

0:32:56.960 --> 0:32:59.800
<v Speaker 1>to me and said, what would you like to do?

0:33:00.080 --> 0:33:04.479
<v Speaker 1>There was a whole long story, and the takeaway was

0:33:04.880 --> 0:33:07.720
<v Speaker 1>I want to sit down with accomplished, intelligent people and

0:33:07.800 --> 0:33:11.719
<v Speaker 1>have a conversation about their career and their impact on

0:33:11.840 --> 0:33:15.000
<v Speaker 1>markets and business and what have you. You were one of,

0:33:15.400 --> 0:33:19.400
<v Speaker 1>if not the first interview I had done, and so

0:33:19.560 --> 0:33:22.680
<v Speaker 1>I said, like this, like this Ned Davis interview. Here,

0:33:22.720 --> 0:33:25.560
<v Speaker 1>here's a SoundCloud in bed. Take a look at it.

0:33:26.000 --> 0:33:29.480
<v Speaker 1>And in hindsight, it's very rough. It's on the phone.

0:33:31.040 --> 0:33:38.440
<v Speaker 1>The old um the reference from Malcolm Gladwell in Outliers.

0:33:38.480 --> 0:33:41.120
<v Speaker 1>You do something for ten thousand hours, you eventually get

0:33:41.120 --> 0:33:43.720
<v Speaker 1>good at it. I haven't quite done a full ten

0:33:43.800 --> 0:33:47.440
<v Speaker 1>thousand hours, but you're about a hundred and fifty something.

0:33:47.480 --> 0:33:49.920
<v Speaker 1>We've been doing this now for three years. And when

0:33:49.960 --> 0:33:53.360
<v Speaker 1>I listened to that interview in preparation for this interview,

0:33:53.880 --> 0:33:55.840
<v Speaker 1>I have to say you were very patient, very kind,

0:33:55.880 --> 0:33:59.240
<v Speaker 1>because I was just got awful then. UM, but I

0:33:59.280 --> 0:34:03.600
<v Speaker 1>really appreciate you coming back and and letting, uh, someone

0:34:03.640 --> 0:34:08.879
<v Speaker 1>improved version of me have this conversation. UM. So thank

0:34:08.920 --> 0:34:11.560
<v Speaker 1>you very much for for flying up for this. I've

0:34:11.560 --> 0:34:14.360
<v Speaker 1>been a fan of your work for forever. We didn't

0:34:14.400 --> 0:34:18.880
<v Speaker 1>get to talk about the books during the broadcast portion,

0:34:19.400 --> 0:34:21.480
<v Speaker 1>but I have to ask you a few questions about

0:34:21.520 --> 0:34:26.960
<v Speaker 1>these because these are really very significant books in the

0:34:27.000 --> 0:34:30.000
<v Speaker 1>world of investing. The first one that I have to

0:34:30.040 --> 0:34:33.920
<v Speaker 1>talk about is this one being right, we're making money

0:34:34.480 --> 0:34:37.120
<v Speaker 1>now collector's edition, you can't find that. I've I've had

0:34:37.160 --> 0:34:41.080
<v Speaker 1>this for I don't know how long underlined and highlighted.

0:34:41.560 --> 0:34:46.520
<v Speaker 1>What was the thinking behind writing that book? Well, again,

0:34:46.560 --> 0:34:49.320
<v Speaker 1>I was, you know, trying to outline my philosophy mainly

0:34:49.360 --> 0:34:54.880
<v Speaker 1>for clients. But uh that spending time on trying to

0:34:54.960 --> 0:34:59.319
<v Speaker 1>forecast and be right is interesting. I certainly continue to

0:34:59.400 --> 0:35:02.799
<v Speaker 1>do that, but really the focus should be on how

0:35:02.840 --> 0:35:06.879
<v Speaker 1>to make money and so uh and again we use

0:35:07.040 --> 0:35:10.720
<v Speaker 1>the tape, the trend, the sentiment, and the Federal Reserve

0:35:10.760 --> 0:35:14.680
<v Speaker 1>Board uh to make money. But I think the one

0:35:14.719 --> 0:35:17.279
<v Speaker 1>of the big things is, as I mentioned it early,

0:35:17.440 --> 0:35:20.000
<v Speaker 1>is the magic of compound interest and and this is

0:35:20.040 --> 0:35:22.839
<v Speaker 1>just a simple math thing that every kid should learn

0:35:22.880 --> 0:35:25.880
<v Speaker 1>in school. But again, if you have a draw down

0:35:25.960 --> 0:35:30.480
<v Speaker 1>like twenty nine to thirty two in stocks was eight percent,

0:35:30.640 --> 0:35:33.600
<v Speaker 1>you have to you have to uh go up five

0:35:33.680 --> 0:35:37.760
<v Speaker 1>hundred to get back to even. And it took many,

0:35:37.800 --> 0:35:42.399
<v Speaker 1>many years. So uh, I don't want we didn't want

0:35:42.440 --> 0:35:46.120
<v Speaker 1>big drawdowns. That's that's the key to making money. And

0:35:46.400 --> 0:35:49.359
<v Speaker 1>one of the things that I've been thinking about since

0:35:49.400 --> 0:35:52.600
<v Speaker 1>I read this book so long ago was when people

0:35:52.680 --> 0:35:57.320
<v Speaker 1>make forecasts, there's a tendency to marry those forecasts, meaning

0:35:57.520 --> 0:36:01.680
<v Speaker 1>despite evidence coming their way that they're wrong, they stick

0:36:01.760 --> 0:36:07.040
<v Speaker 1>with the forecast regardless and don't adjust their portfolio appropriately.

0:36:07.080 --> 0:36:10.239
<v Speaker 1>In other words, they're willing to lose money in order

0:36:10.280 --> 0:36:13.200
<v Speaker 1>to hang around long enough for their forecast to eventually

0:36:13.960 --> 0:36:18.960
<v Speaker 1>come true. How dangerous is that? Well, you know, we

0:36:19.040 --> 0:36:21.400
<v Speaker 1>have another expression that we'd like to use in my

0:36:21.440 --> 0:36:24.800
<v Speaker 1>shop is we all make our own reality. And this

0:36:24.800 --> 0:36:26.879
<v Speaker 1>this was shocking the first time I heard it, because

0:36:26.880 --> 0:36:30.520
<v Speaker 1>I figured reality's reality. But sometimes when I'll be before

0:36:30.560 --> 0:36:33.920
<v Speaker 1>an audience, I'll say, how many of you are sports fans?

0:36:34.000 --> 0:36:37.239
<v Speaker 1>Let's say, are you Knicks fans? And I'm in New

0:36:37.320 --> 0:36:39.640
<v Speaker 1>York And they'll say yes, And I'll say, well, how

0:36:39.640 --> 0:36:41.560
<v Speaker 1>many of you have ever gone to a game and

0:36:41.600 --> 0:36:45.920
<v Speaker 1>thought the referee favored the other team? And of course nobody,

0:36:45.960 --> 0:36:49.200
<v Speaker 1>nobody raises their hand because we see what we want

0:36:49.239 --> 0:36:51.920
<v Speaker 1>to see. Uh, you know, we want the Knicks or

0:36:51.960 --> 0:36:55.040
<v Speaker 1>whoever our team is, to win, so we always go

0:36:55.120 --> 0:36:57.440
<v Speaker 1>to the game and think the referees, uh were for

0:36:57.480 --> 0:37:01.200
<v Speaker 1>the other team. When the NBA's NBA's actually done studies

0:37:01.239 --> 0:37:04.880
<v Speaker 1>that show, if anything, it's very slight, but there is

0:37:04.920 --> 0:37:07.719
<v Speaker 1>a small favor Uh, there's a small advantage for the

0:37:07.760 --> 0:37:10.600
<v Speaker 1>home team and the calls in an average game. So

0:37:10.880 --> 0:37:13.840
<v Speaker 1>this is something we see with our own eyes. So

0:37:13.960 --> 0:37:17.000
<v Speaker 1>it's very easy. You have a position, you want it

0:37:17.040 --> 0:37:20.680
<v Speaker 1>to work. You tend to read things that confirm your

0:37:20.760 --> 0:37:24.319
<v Speaker 1>opinion and you don't read things that may not. So

0:37:24.800 --> 0:37:27.600
<v Speaker 1>this again goes back to that flexibility thing. This is

0:37:27.840 --> 0:37:31.799
<v Speaker 1>is important. Uh, or or even just say hey, I'm

0:37:31.800 --> 0:37:33.960
<v Speaker 1>gonna put a stop loss there. If i made a mistake,

0:37:34.040 --> 0:37:37.840
<v Speaker 1>I made a mistake, I'm done. The sports metaphor is

0:37:37.880 --> 0:37:41.040
<v Speaker 1>so perfect. I'm a basketball fan. I'm a Knicks fan,

0:37:41.480 --> 0:37:44.480
<v Speaker 1>and of course Patrick Ewing would never got the call,

0:37:44.600 --> 0:37:47.080
<v Speaker 1>but Shack and Jordan, No, he's did. I'm not a

0:37:47.120 --> 0:37:52.440
<v Speaker 1>big college basketball fan. But Joe Besseker of Emerald Asset

0:37:52.480 --> 0:37:55.600
<v Speaker 1>Management is a huge fan and doing the n I T.

0:37:55.920 --> 0:37:57.799
<v Speaker 1>I think it was the finals that are played at

0:37:57.800 --> 0:38:00.440
<v Speaker 1>the Garden. He I get a call one day, Hey,

0:38:00.440 --> 0:38:02.880
<v Speaker 1>I'm I got courtside seats. You want to come see this.

0:38:03.640 --> 0:38:05.279
<v Speaker 1>I'm not a basketball fan. If you I'm not a

0:38:05.280 --> 0:38:08.360
<v Speaker 1>college hoops fan, he goes. If you've never watched the

0:38:08.400 --> 0:38:11.800
<v Speaker 1>game in the garden courtside, you have to come see this. Okay,

0:38:11.840 --> 0:38:15.640
<v Speaker 1>So we go watch this really exciting game pretty close. Um,

0:38:15.719 --> 0:38:18.880
<v Speaker 1>only he's a fan of his alma mater who actually

0:38:18.920 --> 0:38:21.920
<v Speaker 1>made it. And I'm watching the game and Joe is

0:38:22.040 --> 0:38:27.200
<v Speaker 1>just distraught because every call is absolutely the worst call

0:38:27.280 --> 0:38:31.359
<v Speaker 1>ever made to mankind. And RALF, come on, the guy

0:38:31.400 --> 0:38:34.440
<v Speaker 1>took six steps. He's walking. I have no dog in

0:38:34.480 --> 0:38:37.080
<v Speaker 1>the fight. I could care less. And I'm like, hey, Joe,

0:38:37.280 --> 0:38:39.000
<v Speaker 1>that was a step and a half. It's a layup.

0:38:39.040 --> 0:38:43.120
<v Speaker 1>You're allowed to And it was a moment of clarity that, oh,

0:38:43.200 --> 0:38:46.319
<v Speaker 1>your subjectivity really affects the way you perceived the wall.

0:38:46.360 --> 0:38:48.960
<v Speaker 1>It was. It was amazing going to a game where

0:38:49.000 --> 0:38:53.000
<v Speaker 1>you didn't care who won and watching people's reaction. Yes,

0:38:53.080 --> 0:38:56.280
<v Speaker 1>I think it was extraordinary. Population Madness of Crowds McKay

0:38:57.040 --> 0:38:59.839
<v Speaker 1>wrote it, and he said, Uh, an individual taken by

0:38:59.840 --> 0:39:03.680
<v Speaker 1>themselves is rational. When you put the individual on a crowd,

0:39:03.719 --> 0:39:08.040
<v Speaker 1>it becomes a blockhead. Uh you know, it's it's just

0:39:08.160 --> 0:39:13.520
<v Speaker 1>totally Crowd psychology is really really strong. It's overwhelming, it

0:39:13.600 --> 0:39:17.200
<v Speaker 1>takes all of us over and uh, it's it's really

0:39:17.320 --> 0:39:20.920
<v Speaker 1>a very different than than an individual psychology. So another

0:39:20.960 --> 0:39:23.880
<v Speaker 1>book I wanted to ask you about was the triumph

0:39:23.920 --> 0:39:28.680
<v Speaker 1>of contrarian investing crowds man is and beating the market

0:39:28.719 --> 0:39:32.480
<v Speaker 1>by going against the grain. So a question I always

0:39:32.480 --> 0:39:37.640
<v Speaker 1>have about contraining investing investing is, well, Mark's markets have

0:39:37.719 --> 0:39:40.839
<v Speaker 1>a tendency to go up over the long haul, and

0:39:40.880 --> 0:39:43.680
<v Speaker 1>we have a tendency to see these long trends. Can

0:39:43.760 --> 0:39:47.000
<v Speaker 1>you be a contrarian in the midst of a ten

0:39:47.120 --> 0:39:50.920
<v Speaker 1>or twenty year bull market? Yes, well, that that you know,

0:39:51.640 --> 0:39:54.040
<v Speaker 1>we like to say we go with the flow. In

0:39:54.120 --> 0:39:56.800
<v Speaker 1>other ways, we go with the crowd until they reach

0:39:56.840 --> 0:40:00.440
<v Speaker 1>an extreme and begin to reverse. And it's at that

0:40:00.440 --> 0:40:03.200
<v Speaker 1>that small moment of time where it pays to be

0:40:03.239 --> 0:40:06.800
<v Speaker 1>a contrarian. So it's it's a it's a bad mistake

0:40:06.880 --> 0:40:09.320
<v Speaker 1>to say I'm just gonna go against the crowd. That

0:40:09.320 --> 0:40:11.440
<v Speaker 1>that will not get you anywhere. You've got to really

0:40:11.520 --> 0:40:16.160
<v Speaker 1>wait for extremes. And a question I didn't get to

0:40:16.400 --> 0:40:20.319
<v Speaker 1>during the broadcast portion was about competitors you launched in.

0:40:21.680 --> 0:40:25.560
<v Speaker 1>Were there any real technicians doing the sort of work

0:40:25.600 --> 0:40:28.480
<v Speaker 1>you were doing? Then? Who were your competitors as a

0:40:28.560 --> 0:40:33.799
<v Speaker 1>research firm? I don't think there were really any uh

0:40:34.320 --> 0:40:40.320
<v Speaker 1>competitors doing technical research. Uh I mentioned earlier, Hamilton Bolton

0:40:40.360 --> 0:40:43.520
<v Speaker 1>and the bank credit analysts. They did a little bit

0:40:43.520 --> 0:40:48.479
<v Speaker 1>of technical, a lot of monetary. Uh. And certainly they're

0:40:48.600 --> 0:40:51.120
<v Speaker 1>they're one of our competitors. You know, I'd like to

0:40:51.160 --> 0:40:54.359
<v Speaker 1>compete with I s I uh ed Hyman because it's

0:40:54.400 --> 0:40:59.920
<v Speaker 1>just a champion. Uh And uh there's now Cornerstone Macro Research,

0:41:00.160 --> 0:41:02.680
<v Speaker 1>there's Rin Maak, Jeff de Grafs, a friend of mine,

0:41:03.200 --> 0:41:07.960
<v Speaker 1>and uh so I would say that those all now

0:41:08.080 --> 0:41:11.759
<v Speaker 1>have a technical element to them. So it's broadened out.

0:41:12.120 --> 0:41:15.520
<v Speaker 1>Given the change in the commission structure that's out there

0:41:15.680 --> 0:41:21.960
<v Speaker 1>and the shrinking of institutional sales desks. Is this end

0:41:22.000 --> 0:41:24.920
<v Speaker 1>of the industry getting smaller and less competitive or is

0:41:24.960 --> 0:41:28.520
<v Speaker 1>it just consolidating with a handful of firms that seems

0:41:28.560 --> 0:41:34.000
<v Speaker 1>to have figured out how to add value to the process. Uh.

0:41:34.040 --> 0:41:38.200
<v Speaker 1>You know, it was concentrated by Wall Street banks and

0:41:38.280 --> 0:41:42.160
<v Speaker 1>now there's there's a lot of independent firms that are

0:41:42.200 --> 0:41:45.680
<v Speaker 1>doing a great job. So, uh, I don't know it.

0:41:45.680 --> 0:41:49.320
<v Speaker 1>It has changed. Certainly, commissions have changed. They were fixed

0:41:49.360 --> 0:41:52.399
<v Speaker 1>when I got into the business. And uh. Uh so

0:41:53.000 --> 0:41:57.160
<v Speaker 1>it's gotten harder, but the business has changed. It's always changing.

0:41:57.719 --> 0:42:00.239
<v Speaker 1>So let's talk a little it's always changing. That's that's

0:42:00.280 --> 0:42:05.600
<v Speaker 1>pretty sage advice. Let's talk about the rise of quantitative

0:42:06.120 --> 0:42:09.480
<v Speaker 1>and indexing. What what does the rise of low cost

0:42:09.920 --> 0:42:13.680
<v Speaker 1>passive index in mean to the world of active investing

0:42:13.719 --> 0:42:16.400
<v Speaker 1>And what does that mean to a firm that sells

0:42:16.440 --> 0:42:21.080
<v Speaker 1>its research to to money managers. Well, you know, if

0:42:21.200 --> 0:42:24.960
<v Speaker 1>if everybody's an active manager and they're competing with each other,

0:42:25.160 --> 0:42:29.520
<v Speaker 1>then um, it's gonna be a horror. It's gonna be

0:42:29.640 --> 0:42:33.680
<v Speaker 1>very difficult to beat the averages. So they're charging high

0:42:33.760 --> 0:42:37.200
<v Speaker 1>fees to be active managers, and some of them are

0:42:37.280 --> 0:42:41.439
<v Speaker 1>very successful, but on average they're they're not doing any

0:42:41.480 --> 0:42:45.040
<v Speaker 1>better than the market averages. So I think John Bogel

0:42:45.120 --> 0:42:49.200
<v Speaker 1>had a great idea that to put these index together

0:42:49.440 --> 0:42:53.120
<v Speaker 1>and uh, low fees and uh this would be a

0:42:53.160 --> 0:42:55.520
<v Speaker 1>better investment for most people over the long run. And

0:42:55.600 --> 0:42:59.280
<v Speaker 1>I think I think that's that's true. However, I noticed

0:42:59.320 --> 0:43:01.359
<v Speaker 1>today I just up and to see a Bloomberg thing

0:43:01.360 --> 0:43:03.960
<v Speaker 1>where there was a chart and they said there's more

0:43:04.000 --> 0:43:08.560
<v Speaker 1>index funds now than there are stocks, and uh. So

0:43:08.600 --> 0:43:11.720
<v Speaker 1>again this is a popular idea. It's a good idea,

0:43:12.239 --> 0:43:14.800
<v Speaker 1>there's nothing wrong with it, but if it gets too popular,

0:43:14.960 --> 0:43:18.560
<v Speaker 1>it will blow up, just like all the other big ideas.

0:43:18.960 --> 0:43:22.040
<v Speaker 1>When does this get too popular? What do we Vanguard

0:43:22.120 --> 0:43:25.640
<v Speaker 1>is four trillion, three trillion of which is passive, black

0:43:25.719 --> 0:43:29.480
<v Speaker 1>Rock is five trillion, most of that is passive. At

0:43:29.520 --> 0:43:31.880
<v Speaker 1>what point, or much of that, I should say, is passive?

0:43:32.200 --> 0:43:36.960
<v Speaker 1>At what point does this get to be too big? Well,

0:43:36.960 --> 0:43:39.880
<v Speaker 1>you know, after Al Gore invented the internet, uh no,

0:43:40.080 --> 0:43:43.320
<v Speaker 1>and we had all the dot com stocks, I I thought, gosh,

0:43:43.440 --> 0:43:47.360
<v Speaker 1>this has got to be a bubble, certainly, and and

0:43:47.360 --> 0:43:50.160
<v Speaker 1>of course it continued for for for a number of years,

0:43:50.160 --> 0:43:54.520
<v Speaker 1>and it's even bigger today. Uh But uh So, I

0:43:54.560 --> 0:43:59.319
<v Speaker 1>think you can't just say, uh, it's extremely popular. You

0:43:59.400 --> 0:44:01.640
<v Speaker 1>have to wait till the trends give up a little bit.

0:44:01.840 --> 0:44:03.760
<v Speaker 1>You have to wait till the FED becomes a little

0:44:03.760 --> 0:44:05.839
<v Speaker 1>more hostile. And at that point, I think you make

0:44:05.880 --> 0:44:08.279
<v Speaker 1>the bet passive investing it is done. And I think

0:44:08.280 --> 0:44:12.440
<v Speaker 1>it's a late phase, lead phase. Okay, nothing nothing nothing

0:44:12.480 --> 0:44:15.879
<v Speaker 1>wrong with passive investing, nothing wrong with portfolio insurance. There's

0:44:15.880 --> 0:44:18.680
<v Speaker 1>nothing wrong with growth stocks. It's just when they get

0:44:18.840 --> 0:44:22.560
<v Speaker 1>too too popular and and we're still not there yet,

0:44:22.600 --> 0:44:28.880
<v Speaker 1>you're saying we're getting there, which raises which raises the question,

0:44:28.960 --> 0:44:32.040
<v Speaker 1>and you've written about this a lot, is the role

0:44:32.080 --> 0:44:36.719
<v Speaker 1>of emotions in investing? How First, how important is it

0:44:36.760 --> 0:44:40.440
<v Speaker 1>to keep emotions out? And then second what can investor

0:44:40.520 --> 0:44:44.480
<v Speaker 1>do to to maintain that? Yes, well, that's that's why

0:44:44.520 --> 0:44:47.440
<v Speaker 1>we put together these sentiment composites. And they ask go

0:44:47.600 --> 0:44:50.239
<v Speaker 1>Warren Buffett one time the secret of success? And you

0:44:50.280 --> 0:44:54.719
<v Speaker 1>know he's a fundamental individual value investor, and he said, Oh,

0:44:54.800 --> 0:44:58.440
<v Speaker 1>our secret is we we try to buy when everybody's fearful,

0:44:58.480 --> 0:45:02.640
<v Speaker 1>and we try to sell when everybody is greedy. Uh

0:45:02.680 --> 0:45:05.799
<v Speaker 1>and U. Which is not a fundamental It's not a

0:45:05.840 --> 0:45:07.920
<v Speaker 1>fundamental thing at all. In fact, to me, it's a

0:45:08.040 --> 0:45:12.480
<v Speaker 1>very technical thing because when everybody's optimistic, they've already bought,

0:45:12.719 --> 0:45:16.200
<v Speaker 1>and so who's left to buy? And when everybody's pessimistic again,

0:45:16.280 --> 0:45:18.879
<v Speaker 1>you've run off all the nervous sellers, so you've got

0:45:18.920 --> 0:45:23.560
<v Speaker 1>strong sellers of stock. So that's the idea is actually

0:45:23.600 --> 0:45:26.799
<v Speaker 1>the same thing that Buffett did. Uh. We we try

0:45:26.840 --> 0:45:29.040
<v Speaker 1>to put these sentiment polls together to see when there's

0:45:29.080 --> 0:45:31.680
<v Speaker 1>fear and greed, and we try to tell ourselves, oh,

0:45:31.760 --> 0:45:35.319
<v Speaker 1>I know the news is terrible, but you know, you know,

0:45:35.400 --> 0:45:39.000
<v Speaker 1>sometimes cloud's part and uh, you know, it's a good

0:45:39.000 --> 0:45:41.640
<v Speaker 1>time to buy. And by the way, our poll got

0:45:41.760 --> 0:45:45.799
<v Speaker 1>very very cautious before the election, and uh it uh

0:45:46.000 --> 0:45:49.600
<v Speaker 1>marks done pretty will since before the election. Is um

0:45:49.640 --> 0:45:53.640
<v Speaker 1>So you really essentially saying one Buffet is a closet technician?

0:45:53.760 --> 0:45:58.240
<v Speaker 1>Is that one? Absolutely? Absolutely? And John Templeton I mentioned

0:45:58.239 --> 0:46:00.120
<v Speaker 1>earlier he was also supposed to be a on a

0:46:00.200 --> 0:46:04.239
<v Speaker 1>menalist and he described the market and and another one

0:46:04.440 --> 0:46:08.879
<v Speaker 1>uh uh Buffett said that has really struck home with me.

0:46:09.480 --> 0:46:13.000
<v Speaker 1>He said, you know, it's not that I like pessimism.

0:46:13.040 --> 0:46:17.000
<v Speaker 1>I just like the values that pessimism produces. So there

0:46:17.040 --> 0:46:20.800
<v Speaker 1>you've measure, You've put together now fundamentals, which are values,

0:46:21.239 --> 0:46:24.680
<v Speaker 1>and you've put together sentiment, which I think is technical.

0:46:24.800 --> 0:46:27.840
<v Speaker 1>So you do when there's a lot of pessimism, you

0:46:27.840 --> 0:46:30.239
<v Speaker 1>tend to get better values, and when there's a lot

0:46:30.280 --> 0:46:33.560
<v Speaker 1>of euphoria, you tend to get an overvalued market. So

0:46:34.040 --> 0:46:37.480
<v Speaker 1>it's really there's not really a struggle here in the

0:46:37.520 --> 0:46:40.719
<v Speaker 1>long run between the technician and a fundamentalist. All right,

0:46:40.760 --> 0:46:44.560
<v Speaker 1>so let's shift over to my ten favorite questions. I

0:46:44.600 --> 0:46:49.280
<v Speaker 1>asked these of all my guests, UM tell us about

0:46:49.280 --> 0:46:56.040
<v Speaker 1>the most important thing people don't know about your background. Uh,

0:46:56.280 --> 0:47:00.200
<v Speaker 1>they probably don't know that I speak French. Do you

0:47:00.239 --> 0:47:05.440
<v Speaker 1>still speak French? I speak French and so so what

0:47:05.440 --> 0:47:08.960
<v Speaker 1>what don't they know about you? You once spoke French,

0:47:09.040 --> 0:47:13.879
<v Speaker 1>but pretty much that's uh, that's faded, you know. I

0:47:13.880 --> 0:47:19.080
<v Speaker 1>I'm really uh very uh persistent in my work, have

0:47:19.200 --> 0:47:21.640
<v Speaker 1>been doing this for fifty years. I'm very focused on

0:47:21.719 --> 0:47:24.680
<v Speaker 1>my work. But uh, I try to have some balance

0:47:24.719 --> 0:47:26.920
<v Speaker 1>in my life. And uh I have four kids and

0:47:26.960 --> 0:47:30.879
<v Speaker 1>two grandkids, and uh I don't know exactly what what

0:47:31.080 --> 0:47:34.080
<v Speaker 1>role I had except being there, but uh, I'm very

0:47:34.080 --> 0:47:36.239
<v Speaker 1>proud of them, So I think that gives my life

0:47:36.239 --> 0:47:41.920
<v Speaker 1>some balance. Tell us about some of your early mentors. Well,

0:47:41.960 --> 0:47:48.000
<v Speaker 1>I mentioned UH Hamilton Bolton, I mentioned UH Edson Gould.

0:47:49.000 --> 0:47:54.600
<v Speaker 1>UH to really outstanding pioneers. UH named Marty's Waga talked

0:47:54.640 --> 0:47:58.359
<v Speaker 1>about and we did some research in conjunction with each other. UH.

0:47:58.440 --> 0:48:01.839
<v Speaker 1>Norman FoST Back UH another guy that did a lot

0:48:01.840 --> 0:48:04.520
<v Speaker 1>of to try to put technicals into studies and test

0:48:04.520 --> 0:48:07.800
<v Speaker 1>them historically. Stock Market Logic was the name of his book.

0:48:08.680 --> 0:48:15.239
<v Speaker 1>And U right now people still doing technical analysis that

0:48:15.280 --> 0:48:18.400
<v Speaker 1>I do like I do successfully. Jim Stack, who's invest

0:48:18.440 --> 0:48:21.600
<v Speaker 1>tech and and there's guy Dan Sullivan who does the

0:48:21.680 --> 0:48:25.120
<v Speaker 1>charters service that has a real time track record that's terrific.

0:48:25.239 --> 0:48:30.799
<v Speaker 1>And uh so you mentioned Jeff Dera, Um any other

0:48:30.840 --> 0:48:33.880
<v Speaker 1>technicians We've We've spoken to Jeff de Graf, We've spoken

0:48:33.920 --> 0:48:36.520
<v Speaker 1>to John Roke. Who else? Who else do you think

0:48:36.600 --> 0:48:42.080
<v Speaker 1>is an interesting you know? I really, Um, well, I

0:48:42.080 --> 0:48:46.000
<v Speaker 1>I read a lot. I I try not to. Uh again,

0:48:46.200 --> 0:48:48.600
<v Speaker 1>it's it's the thing about being at the game, the

0:48:48.600 --> 0:48:51.959
<v Speaker 1>crowd psychology. Uh. I try to let my charts talk

0:48:52.000 --> 0:48:54.200
<v Speaker 1>to me, and so I try not to read to

0:48:54.360 --> 0:48:58.520
<v Speaker 1>too many competitors. Were So you mentioned a number of

0:48:58.520 --> 0:49:02.800
<v Speaker 1>people who influenced your roach to technical analysis. Any other

0:49:02.840 --> 0:49:08.360
<v Speaker 1>technicians that were formative to you in your early days. Um,

0:49:08.400 --> 0:49:13.840
<v Speaker 1>I really like Bob Farrell and Merrill Lynch he uh,

0:49:13.920 --> 0:49:17.560
<v Speaker 1>you know, Bob Farrell had an opinion, but he uh

0:49:17.600 --> 0:49:21.400
<v Speaker 1>he would give both sides. Uh, he would give a

0:49:21.400 --> 0:49:24.160
<v Speaker 1>balanced view and and uh sort of lean one way

0:49:24.239 --> 0:49:26.800
<v Speaker 1>or the other. And that really appealed to me. I

0:49:27.040 --> 0:49:30.240
<v Speaker 1>I just did not like the approach that the world's

0:49:30.280 --> 0:49:33.440
<v Speaker 1>all black or all white. It's a bullish or you know,

0:49:33.560 --> 0:49:36.120
<v Speaker 1>sell everything. And I just don't think the world worked

0:49:36.160 --> 0:49:38.520
<v Speaker 1>that way and he was able to pull it off.

0:49:38.560 --> 0:49:41.720
<v Speaker 1>And uh he he had a lot of good, good

0:49:41.840 --> 0:49:45.799
<v Speaker 1>rules and uh the ten rules of market investing man,

0:49:46.000 --> 0:49:50.680
<v Speaker 1>and they're excellent. And you mentioned Alan Shaw earlier, right

0:49:51.160 --> 0:49:54.120
<v Speaker 1>some people. I believe he was the co founder of

0:49:54.160 --> 0:49:58.680
<v Speaker 1>the Market Technicians Association and very much an influential UM

0:49:58.719 --> 0:50:03.839
<v Speaker 1>technico analyst. Um. What what's your relationship with Alan? Uh?

0:50:04.040 --> 0:50:05.680
<v Speaker 1>I know him and I used to you know, I

0:50:05.719 --> 0:50:08.360
<v Speaker 1>get I used to read his work and uh again

0:50:08.440 --> 0:50:11.279
<v Speaker 1>he's a he's a level headed uh and he's a

0:50:11.360 --> 0:50:14.279
<v Speaker 1>nice guy. He's an honest guy. And uh he helped

0:50:14.320 --> 0:50:16.280
<v Speaker 1>a lot of people in the business to get into

0:50:16.320 --> 0:50:19.880
<v Speaker 1>it and taught him stuff. And uh so let's talk

0:50:19.920 --> 0:50:24.080
<v Speaker 1>a little bit about books. What you mentioned, um, Uh

0:50:24.239 --> 0:50:29.120
<v Speaker 1>Edwards and McGee Edwards and McGee, Yes, and uh, Charles

0:50:29.200 --> 0:50:33.920
<v Speaker 1>McKay had the extraordinary popular delusions in the Madness of Crowd.

0:50:34.200 --> 0:50:36.560
<v Speaker 1>There's been some other books written about manias. I think

0:50:36.600 --> 0:50:40.719
<v Speaker 1>these are all very very useful books. Uh. A guy

0:50:40.800 --> 0:50:43.040
<v Speaker 1>named Sobel wrote a book on the Big Board, which

0:50:43.080 --> 0:50:46.239
<v Speaker 1>is a history of the New York Stock Exchange. Uh So,

0:50:46.760 --> 0:50:49.680
<v Speaker 1>he's gone over a lot a lot of periods. I

0:50:49.760 --> 0:50:53.680
<v Speaker 1>like history books. Uh. And then Marty's Way Head, Winning

0:50:53.680 --> 0:50:56.480
<v Speaker 1>on All Street and Norman Foss pat Market Logic and

0:50:57.040 --> 0:50:59.160
<v Speaker 1>would be some of my favorites. Uh. What do you

0:50:59.280 --> 0:51:01.480
<v Speaker 1>what do you read to relax? Do you read anything

0:51:01.520 --> 0:51:06.120
<v Speaker 1>that's not technical analysis, markets or history? You know? I

0:51:06.200 --> 0:51:09.919
<v Speaker 1>read like sports. I read about sports. Uh. I don't

0:51:09.960 --> 0:51:13.080
<v Speaker 1>like to discuss politics, but I like politics. I really

0:51:13.160 --> 0:51:17.080
<v Speaker 1>liked it. It's gotten more and more fascinating. And um

0:51:17.920 --> 0:51:21.280
<v Speaker 1>some other fiction I really don't read a lot. Uh.

0:51:21.440 --> 0:51:24.200
<v Speaker 1>I read just recently my kids maybe read A Boys

0:51:24.239 --> 0:51:26.239
<v Speaker 1>in the Boat which is a story of rowing and

0:51:26.440 --> 0:51:30.920
<v Speaker 1>uh uh Washington State that went on and won the Olympics.

0:51:31.080 --> 0:51:36.000
<v Speaker 1>Uh and uh it's a fascinating book, quite quite interesting.

0:51:36.560 --> 0:51:40.000
<v Speaker 1>Um So tell us what's changed since you joined the industry.

0:51:40.000 --> 0:51:42.920
<v Speaker 1>What do you think are the most significant shifts that

0:51:42.960 --> 0:51:47.719
<v Speaker 1>we've witnessed over the past few decades. Well, it's it's

0:51:47.760 --> 0:51:51.359
<v Speaker 1>the same thing any anybody would know that we've gone from,

0:51:51.440 --> 0:51:54.600
<v Speaker 1>you know, uh, drawing with paper and pen and and

0:51:54.800 --> 0:52:01.480
<v Speaker 1>uh absolutely everybody has about Alan Shaw, uh, Ralph Alkumpora.

0:52:01.880 --> 0:52:06.759
<v Speaker 1>They all talk tell about charting by hands. What does

0:52:06.800 --> 0:52:08.840
<v Speaker 1>that do for? Not only that I had a big

0:52:09.120 --> 0:52:11.680
<v Speaker 1>I had a big wall in my office. Basically my

0:52:11.800 --> 0:52:15.560
<v Speaker 1>wallpaper were charts that I put up and and mark

0:52:15.680 --> 0:52:19.959
<v Speaker 1>by hand. And now, of course everything is technology, and

0:52:20.160 --> 0:52:24.360
<v Speaker 1>uh so I'd say that's that's the biggest change. And

0:52:24.960 --> 0:52:26.920
<v Speaker 1>there were a lot of I think there were a

0:52:26.920 --> 0:52:30.239
<v Speaker 1>lot more inefficiencies when I started in the business. If

0:52:30.280 --> 0:52:33.080
<v Speaker 1>you wanted to study market inefficiencies, you could you could

0:52:33.080 --> 0:52:37.840
<v Speaker 1>find them. And uh, with algorithms and computers, uh, and

0:52:37.920 --> 0:52:40.319
<v Speaker 1>all these bright guys doing this stuff, I think there's

0:52:40.320 --> 0:52:44.319
<v Speaker 1>a there's a lot less of that. So from that standpoint,

0:52:44.320 --> 0:52:46.360
<v Speaker 1>I think that the business has gotten a lot tougher,

0:52:46.400 --> 0:52:48.400
<v Speaker 1>and you have to be flexible and you have to

0:52:48.440 --> 0:52:52.239
<v Speaker 1>adjust because it's changing all the time. When when you

0:52:52.280 --> 0:52:55.400
<v Speaker 1>were charting by hands versus doing it today where you

0:52:55.480 --> 0:52:58.440
<v Speaker 1>just push a button on a computer, do you lose

0:52:58.480 --> 0:53:02.360
<v Speaker 1>anything in the process of not day by day spending

0:53:02.400 --> 0:53:06.120
<v Speaker 1>forty five minutes putting together however many hundred charts you

0:53:06.160 --> 0:53:09.279
<v Speaker 1>were doing by hand each day. What's lost when you

0:53:09.480 --> 0:53:14.839
<v Speaker 1>when that goes away? I gets I thin guess there's

0:53:14.880 --> 0:53:17.240
<v Speaker 1>some kind of feel, But if you go through enough charts,

0:53:17.280 --> 0:53:19.120
<v Speaker 1>I think you get the same kind of field. So no,

0:53:19.239 --> 0:53:21.440
<v Speaker 1>I don't think I don't think I've lost much from that.

0:53:22.160 --> 0:53:27.360
<v Speaker 1>Um So, given that technology has been the prime driver

0:53:27.560 --> 0:53:30.279
<v Speaker 1>of changes in the past, what do you think the

0:53:30.320 --> 0:53:35.799
<v Speaker 1>next major shifts are going to be in the industry. Well,

0:53:35.920 --> 0:53:40.320
<v Speaker 1>here's the thing. You know, in every age, there's something

0:53:40.400 --> 0:53:45.600
<v Speaker 1>that comes along that catches people's narrative. And uh, what

0:53:45.680 --> 0:53:48.759
<v Speaker 1>you wanna do is be in a position that when that,

0:53:49.239 --> 0:53:52.520
<v Speaker 1>when that changes, that you can take advantage of it.

0:53:52.600 --> 0:53:56.000
<v Speaker 1>And and you'll read rules. I have rules, and I

0:53:56.520 --> 0:54:00.400
<v Speaker 1>teach rules and philosophy. But again, if they get too popular,

0:54:00.719 --> 0:54:03.239
<v Speaker 1>they quit working. And so that's what makes us a

0:54:03.280 --> 0:54:06.840
<v Speaker 1>fascinating business. It makes it so difficult to forecast. Alan

0:54:06.880 --> 0:54:09.480
<v Speaker 1>Abelson had this line one time, and I loved it.

0:54:09.520 --> 0:54:11.879
<v Speaker 1>He said, just just about the time you you learn

0:54:11.960 --> 0:54:15.560
<v Speaker 1>how to play the game, they change the rules. And uh,

0:54:15.680 --> 0:54:18.080
<v Speaker 1>so I think there's a lot of truth in that.

0:54:18.239 --> 0:54:20.879
<v Speaker 1>And so I think that you know what we need

0:54:20.920 --> 0:54:24.440
<v Speaker 1>to do is is stay flexible, uh, disciplined and um

0:54:25.120 --> 0:54:30.560
<v Speaker 1>and go against whatever gets overly done. Professor Andrew Low

0:54:30.600 --> 0:54:33.680
<v Speaker 1>and m I t called it adaptive markets. No matter

0:54:33.800 --> 0:54:38.480
<v Speaker 1>what the circumstances are, eventually markets adapt to it, and

0:54:38.840 --> 0:54:42.239
<v Speaker 1>those rules stopped working. Um tell us about a time

0:54:42.320 --> 0:54:44.680
<v Speaker 1>you uh you failed and what you learned from it?

0:54:44.760 --> 0:54:47.399
<v Speaker 1>What what was something where gee that didn't work out

0:54:47.480 --> 0:54:52.080
<v Speaker 1>is expected? What was the takeaway? Well, you know again, uh,

0:54:52.120 --> 0:54:54.040
<v Speaker 1>I said, one of my rules is don't don't fight

0:54:54.080 --> 0:54:57.600
<v Speaker 1>the Fed. Well, uh, you know, the FED was tightening

0:54:58.440 --> 0:55:02.640
<v Speaker 1>right into to thousand and into two thousand seven, and

0:55:02.640 --> 0:55:06.279
<v Speaker 1>and as soon as uh, well as bear Stearns blew up,

0:55:06.320 --> 0:55:09.560
<v Speaker 1>they started easing. So you said, well, the market can't

0:55:09.560 --> 0:55:12.880
<v Speaker 1>go down because the Fed's gonna, you know, gonna protect it.

0:55:12.920 --> 0:55:15.000
<v Speaker 1>And that's that's one of my key rules. Well, the

0:55:15.040 --> 0:55:17.799
<v Speaker 1>FED kept easy and the market kept going down. So

0:55:19.120 --> 0:55:22.319
<v Speaker 1>I didn't This is not a mistake because I saw

0:55:22.440 --> 0:55:26.799
<v Speaker 1>the trend turning down and I saw the sentiment where

0:55:26.840 --> 0:55:30.279
<v Speaker 1>it was with with the housing bubble, and uh so

0:55:30.480 --> 0:55:33.840
<v Speaker 1>that didn't throw me off. But in the late nineteen nineties,

0:55:34.160 --> 0:55:38.640
<v Speaker 1>uh one of Ghoul's indicators was the dividend yield on

0:55:38.640 --> 0:55:40.680
<v Speaker 1>the doll and he said, when it gets down below

0:55:40.840 --> 0:55:43.840
<v Speaker 1>you know, three percent, the markets in trouble. Well it

0:55:43.960 --> 0:55:46.799
<v Speaker 1>did that in late nine and that I think that's

0:55:46.840 --> 0:55:50.759
<v Speaker 1>one of the reasons. Uh, you know, the Greenspan said

0:55:50.800 --> 0:55:55.040
<v Speaker 1>irrational exuberance. But the market kept going up. So uh,

0:55:55.080 --> 0:55:57.400
<v Speaker 1>that was an indicator that I think it never failed

0:55:57.400 --> 0:55:59.560
<v Speaker 1>and it felt in that case and it got me

0:55:59.640 --> 0:56:03.320
<v Speaker 1>too ushes too soon. So what do you do outside

0:56:03.320 --> 0:56:06.799
<v Speaker 1>of the office to keep either mentally or physically fit?

0:56:06.880 --> 0:56:09.520
<v Speaker 1>What do you what do you do to relax? Well,

0:56:09.560 --> 0:56:11.560
<v Speaker 1>I try to work out. We actually have a gym

0:56:11.600 --> 0:56:14.400
<v Speaker 1>at our at our office, and so I try to

0:56:14.440 --> 0:56:16.760
<v Speaker 1>do that. I play a little golf and then uh,

0:56:17.080 --> 0:56:19.680
<v Speaker 1>you know, we we live on the west coast of Florida,

0:56:19.760 --> 0:56:22.719
<v Speaker 1>and uh, we do quite a bit of boating. My

0:56:22.719 --> 0:56:26.360
<v Speaker 1>my younger boys are both big fisherman, so I pretty

0:56:26.440 --> 0:56:29.520
<v Speaker 1>much have to have to get out on the water.

0:56:29.880 --> 0:56:31.840
<v Speaker 1>You don't fish, you're on the gulf. So I was so,

0:56:31.880 --> 0:56:34.240
<v Speaker 1>I was gonna say, they're looking for tarpon and bone

0:56:34.280 --> 0:56:37.919
<v Speaker 1>fish and what else? Do you ever go with them fishing? Well? Sometimes, yeah,

0:56:38.200 --> 0:56:40.840
<v Speaker 1>what what what are they? What do they take? Tarpan

0:56:40.920 --> 0:56:43.279
<v Speaker 1>is one of the favorites. But we're a grouper and

0:56:43.320 --> 0:56:47.799
<v Speaker 1>snapper area. We got some really good fish, full edible.

0:56:48.560 --> 0:56:52.520
<v Speaker 1>You catch and release the rest we release everything that's

0:56:52.520 --> 0:56:55.560
<v Speaker 1>not good eating. Yeah, for sure. What sort of advice

0:56:55.600 --> 0:56:58.400
<v Speaker 1>would you give to a millennial or a recent college

0:56:58.440 --> 0:57:03.080
<v Speaker 1>graduate who's just beginning their career in markets or interested

0:57:03.120 --> 0:57:08.960
<v Speaker 1>in technico analysis, how would you advise them? Well, you know,

0:57:10.000 --> 0:57:13.279
<v Speaker 1>I got into this business, uh, at the at the

0:57:13.320 --> 0:57:16.800
<v Speaker 1>beginning of an incredible bull market. So I would say,

0:57:16.840 --> 0:57:18.920
<v Speaker 1>you know, I've had a lot of luck from from

0:57:18.960 --> 0:57:23.040
<v Speaker 1>a timing standpoint, but I could have quit this business

0:57:23.040 --> 0:57:26.080
<v Speaker 1>a long time ago, and I continue to work. Uh.

0:57:26.320 --> 0:57:28.320
<v Speaker 1>And the reason is because I love it and and

0:57:28.320 --> 0:57:31.600
<v Speaker 1>what I love about it is that one year it's

0:57:32.160 --> 0:57:35.600
<v Speaker 1>energy that's driving the stock market, and the next year

0:57:35.720 --> 0:57:38.840
<v Speaker 1>it's housing, so I gotta be a housing expert, and

0:57:38.880 --> 0:57:43.240
<v Speaker 1>the next year it's geopolitical and and it's just always changing.

0:57:43.720 --> 0:57:46.840
<v Speaker 1>So I'm a person that loves to learn the world's

0:57:46.920 --> 0:57:50.800
<v Speaker 1>changing and and it's fascinating. I can get an education,

0:57:50.880 --> 0:57:53.840
<v Speaker 1>a new education every year, and I get paid paid

0:57:53.840 --> 0:57:57.240
<v Speaker 1>well to do it. And the markets are fascinating, and uh,

0:57:57.520 --> 0:57:59.320
<v Speaker 1>you know, to go into an industry, let's say you

0:57:59.440 --> 0:58:01.600
<v Speaker 1>go into the ill industry and you're stuck there for

0:58:01.600 --> 0:58:04.840
<v Speaker 1>fourty or fifty years. I mean, I'm in a different

0:58:04.840 --> 0:58:09.480
<v Speaker 1>industry or there's a different industry, technology, whatever that's driving

0:58:09.800 --> 0:58:13.520
<v Speaker 1>the market every year. So I think it's a fascinating business.

0:58:13.560 --> 0:58:17.240
<v Speaker 1>I think people should go in it and uh um,

0:58:17.280 --> 0:58:20.400
<v Speaker 1>you know I love it. And our final question, what

0:58:20.480 --> 0:58:24.160
<v Speaker 1>do you know about technical analysis and markets today that

0:58:24.240 --> 0:58:28.800
<v Speaker 1>you wish you knew back in the early seventies when

0:58:28.840 --> 0:58:32.480
<v Speaker 1>you when you first started Well, as I said earlier,

0:58:32.520 --> 0:58:34.800
<v Speaker 1>I I started out as a forecaster, and I think

0:58:34.800 --> 0:58:36.880
<v Speaker 1>that's uh that's a good way to lose money and

0:58:37.800 --> 0:58:42.120
<v Speaker 1>be wrong. So uh uh so I I that's one

0:58:42.120 --> 0:58:46.360
<v Speaker 1>thing I would have gotten into that earlier obviously, And uh,

0:58:46.480 --> 0:58:49.160
<v Speaker 1>I do think when you look at charts just is

0:58:49.720 --> 0:58:52.640
<v Speaker 1>the pure technician. A lot of times you see what

0:58:52.760 --> 0:58:54.560
<v Speaker 1>you want to see, and so I think you've got

0:58:54.560 --> 0:58:58.720
<v Speaker 1>to try to quantify it, uh as much as possible.

0:58:58.880 --> 0:59:04.280
<v Speaker 1>So how closely have you followed the field of behavioral

0:59:04.320 --> 0:59:08.000
<v Speaker 1>economics as it's developed of the past let's call it

0:59:08.080 --> 0:59:11.120
<v Speaker 1>thirty thirty five years, Because a lot of what you

0:59:11.240 --> 0:59:15.360
<v Speaker 1>reference on the technical side very much tracks what what

0:59:15.440 --> 0:59:20.000
<v Speaker 1>the guys like Danny Kahneman and Bob Shiller and Richard

0:59:20.040 --> 0:59:23.400
<v Speaker 1>Thaller have been saying for for quite a while. You know,

0:59:23.480 --> 0:59:25.080
<v Speaker 1>there's a lot, like I said, there's a lot of

0:59:25.080 --> 0:59:27.560
<v Speaker 1>good ideas out there. I think though, if you don't

0:59:27.560 --> 0:59:31.280
<v Speaker 1>put it in a big macro con context. If you

0:59:31.400 --> 0:59:36.360
<v Speaker 1>just take one area and you focus on it, then, uh,

0:59:36.400 --> 0:59:39.400
<v Speaker 1>that's a mistake. So you gotta put it in context. Uh.

0:59:39.760 --> 0:59:42.560
<v Speaker 1>For example, right now, I'm I'm a I was a

0:59:42.640 --> 0:59:45.960
<v Speaker 1>huge well I'm a huge fan of the Laugher curve.

0:59:46.720 --> 0:59:50.200
<v Speaker 1>And Kennedy did it and it worked wonderfully. Cut rates

0:59:50.200 --> 0:59:53.160
<v Speaker 1>from one to seventy. Reagan came in, he cut them

0:59:53.200 --> 0:59:55.920
<v Speaker 1>from seventy to fifty. Then he cut them from fifty eight.

0:59:56.000 --> 0:59:57.480
<v Speaker 1>We had a boom in the sixties, we had a

0:59:57.480 --> 1:00:01.120
<v Speaker 1>boom in the eighties. Great idea, right, Well, then George

1:00:01.120 --> 1:00:05.840
<v Speaker 1>Bush tried it in two thousand. Didn't work and because

1:00:05.840 --> 1:00:08.680
<v Speaker 1>we were in a different phase of the cycle. So

1:00:09.200 --> 1:00:12.240
<v Speaker 1>when you have a rule and everybody's got a rule,

1:00:12.280 --> 1:00:15.439
<v Speaker 1>a Kinesian rule, Yes, there was a good, good, good

1:00:15.480 --> 1:00:18.480
<v Speaker 1>reason for deficits and bailots at one point, right, but

1:00:18.560 --> 1:00:21.920
<v Speaker 1>it doesn't work at another point in time. So I

1:00:21.960 --> 1:00:25.080
<v Speaker 1>think this is the problem with this kind of thing,

1:00:25.200 --> 1:00:27.400
<v Speaker 1>just getting focused on one area. You've got to put

1:00:27.440 --> 1:00:29.960
<v Speaker 1>it in context. Let me push back on the Laugher

1:00:30.080 --> 1:00:33.200
<v Speaker 1>rule for a second. When you have very high taxes

1:00:33.240 --> 1:00:37.160
<v Speaker 1>and you cut them significantly. You get a huge impact.

1:00:37.560 --> 1:00:41.360
<v Speaker 1>Exactly when when you make minor changes. What did Bush do?

1:00:42.760 --> 1:00:47.520
<v Speaker 1>Exactly what Trump wants to do thirty five exactly? Nobody

1:00:47.680 --> 1:00:51.960
<v Speaker 1>remember when when Reagan came in, they were all manner

1:00:52.240 --> 1:00:59.600
<v Speaker 1>of um, tax shelters and deferments. His tax change immediately

1:00:59.680 --> 1:01:04.440
<v Speaker 1>led to a whole range of behavioral changes. Accountants, lawyers, investors, Hey,

1:01:04.480 --> 1:01:07.600
<v Speaker 1>this real estate shell do you have? It's done? You

1:01:07.680 --> 1:01:09.520
<v Speaker 1>better move your money elsewhere. And a lot of it

1:01:09.560 --> 1:01:12.720
<v Speaker 1>finds its way into but three or four percent nobody

1:01:12.840 --> 1:01:16.080
<v Speaker 1>is doing a wholesale revision of it. It's an incentive,

1:01:16.080 --> 1:01:19.720
<v Speaker 1>but it's very small. It's I you ask pump people,

1:01:19.760 --> 1:01:23.000
<v Speaker 1>if you drop your next dollar from nine to seventy,

1:01:23.600 --> 1:01:25.760
<v Speaker 1>what would that make you want to work hard? Yeah?

1:01:25.960 --> 1:01:27.560
<v Speaker 1>And then you say, wait, what about if you went

1:01:27.600 --> 1:01:31.080
<v Speaker 1>from thirty nine to thirty five? They went, really, yeah,

1:01:31.240 --> 1:01:33.960
<v Speaker 1>I'll take the extra cash, but I'm certainly not changing

1:01:34.040 --> 1:01:39.680
<v Speaker 1>my entire Kennedy did it after two recessions eight and sixty,

1:01:39.680 --> 1:01:42.920
<v Speaker 1>and Reagan did it after two recessions eighty and eighty two.

1:01:43.560 --> 1:01:45.720
<v Speaker 1>And now we've had a nine year expansion and we're

1:01:45.720 --> 1:01:49.720
<v Speaker 1>gonna now we're gonna stimulate cutting taxes. So I just say,

1:01:49.920 --> 1:01:53.640
<v Speaker 1>there's nothing wrong with the rule, there's nothing wrong with

1:01:53.680 --> 1:01:58.200
<v Speaker 1>the incentives, but it depends on when it happens, what

1:01:58.400 --> 1:02:01.880
<v Speaker 1>error went, what the cyclists. That's the problem with having

1:02:02.400 --> 1:02:07.240
<v Speaker 1>a set mindset. You you referenced your following politics from Afar.

1:02:07.760 --> 1:02:11.200
<v Speaker 1>Who else do you think has some interesting political theories

1:02:11.840 --> 1:02:19.280
<v Speaker 1>as to what's going on these days? Uh? You know,

1:02:19.840 --> 1:02:23.080
<v Speaker 1>I there was a commission that and I think this

1:02:23.160 --> 1:02:27.120
<v Speaker 1>was Obama's really biggest mistake. But anyway, he had a

1:02:27.120 --> 1:02:32.400
<v Speaker 1>commission to to look at the fiscal monetary structure Simpson bowls.

1:02:32.880 --> 1:02:37.600
<v Speaker 1>And it was bipartisan, last bipartisan commission we've had, and

1:02:37.880 --> 1:02:41.240
<v Speaker 1>uh almost I mean nobody liked it because somebody was

1:02:41.280 --> 1:02:45.600
<v Speaker 1>getting gored somewhere, was getting something taken away. But uh,

1:02:45.720 --> 1:02:48.520
<v Speaker 1>I personally felt like that that was a great idea,

1:02:49.240 --> 1:02:53.560
<v Speaker 1>and uh they just neither the Democrats nor Republicans would

1:02:53.600 --> 1:02:56.920
<v Speaker 1>do it. But I think essentially that was a lot

1:02:56.920 --> 1:02:59.320
<v Speaker 1>of the things we needed to do. We have been

1:02:59.360 --> 1:03:03.280
<v Speaker 1>speaking to Ned Davis of ned Davis Research. If you

1:03:03.400 --> 1:03:06.240
<v Speaker 1>enjoy this conversation, be sure and check out our other

1:03:07.240 --> 1:03:09.200
<v Speaker 1>past three years. I don't even know how many we've

1:03:09.200 --> 1:03:13.400
<v Speaker 1>had of conversations. I would be remiss if I did

1:03:13.480 --> 1:03:17.400
<v Speaker 1>not think Taylor Riggs, my book of producer, and Michael Batnick,

1:03:17.920 --> 1:03:21.120
<v Speaker 1>our head of research. Be sure and check out all

1:03:21.160 --> 1:03:25.600
<v Speaker 1>our other conversations. You can find them on SoundCloud, Bloomberg

1:03:25.640 --> 1:03:30.720
<v Speaker 1>dot com, Apple iTunes. We love your comments, feedback and

1:03:30.800 --> 1:03:35.560
<v Speaker 1>suggestions right to us at m IB podcast at Bloomberg

1:03:35.680 --> 1:03:39.640
<v Speaker 1>dot net. I'm Barry Ridholts. You've been listening to Masters

1:03:39.640 --> 1:03:47.840
<v Speaker 1>in Business on Bloomberg Radio. Our world is always moving,

1:03:47.960 --> 1:03:50.120
<v Speaker 1>so with Mery Lynch you can get access to financial

1:03:50.120 --> 1:03:53.200
<v Speaker 1>guidance online, in person or through the Apple. Visit mL

1:03:53.240 --> 1:03:55.560
<v Speaker 1>dot com and learn more about Mery Lynch. An affiliated

1:03:55.560 --> 1:03:58.000
<v Speaker 1>Bank of America. Mary Lynch makes available products and services

1:03:58.040 --> 1:04:00.560
<v Speaker 1>offered by Merrill Lynch. Pierce Federan Smith Incorporated, Richister Broker

1:04:00.600 --> 1:04:01.520
<v Speaker 1>Dealer Member s I PC