WEBVTT - How to Use Pop Music to Forecast the Stock Market

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<v Speaker 1>T dot com put Knowledge to Work. Hello and welcome

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<v Speaker 1>to another episode of the Odd Lots podcast. I'm Joe

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<v Speaker 1>Wisental and I'm Tracy Halloway. So, Tracy, I don't think

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<v Speaker 1>I've ever asked you this, but do you like the Beatles? Uh?

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<v Speaker 1>I feel like there's only one way to answer that question, right,

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<v Speaker 1>Like you would be worried if someone said that they

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<v Speaker 1>didn't like the Beatles. I have met people who say

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<v Speaker 1>they think the Beatles are bad, but every single one

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<v Speaker 1>of them is one is either a troll or a

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<v Speaker 1>mindless contrarian. And I don't like those kind of people.

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<v Speaker 1>What do you think about the Beatles? I actually think

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<v Speaker 1>the Beatles are underrated, and it's sort of I have this.

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<v Speaker 1>I have this belief that the best things in life,

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<v Speaker 1>like in any category, are always underrated, Like I think

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<v Speaker 1>Michael Jordan and Muhammad Ali are underrated, for example. But

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<v Speaker 1>that's the way that that that we could That's a

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<v Speaker 1>topic for probably another episode. But the topic for this

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<v Speaker 1>episode is, um, the Beatles or music in general or

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<v Speaker 1>you know, what are we going to be discussing it

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<v Speaker 1>kind of is the Beatles? Did you know that you

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<v Speaker 1>know if you look at the history of the stock market,

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<v Speaker 1>that certain peaks and troughs in the market actually line

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<v Speaker 1>up with Beatles songs. Uh? You know, I have at

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<v Speaker 1>one time or another scene that chart, and I've always

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<v Speaker 1>been very intrigued by it. But of course, I guess

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<v Speaker 1>when you see a chart like that, the thing that

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<v Speaker 1>springs to mind is correlation versus causation, right, right, yes, exactly.

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<v Speaker 1>But you know, there are people who think that we

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<v Speaker 1>can look at things like what kind of songs are

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<v Speaker 1>popular at any given time, or what kind of fashions

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<v Speaker 1>or what kind of other cultural things are going on,

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<v Speaker 1>and then use that to tell us something about societal mood,

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<v Speaker 1>and then use that information to make calls on the market.

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<v Speaker 1>I mean that sounds really fascinating to me, and I

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<v Speaker 1>can see how you could use pop culture to gauge

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<v Speaker 1>maybe optimism and the strength of the economy. But again,

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<v Speaker 1>like I suppose, the big issue is whether or not

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<v Speaker 1>you get into a chicken and egg situation, right like,

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<v Speaker 1>is the mood following on from the economy or is

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<v Speaker 1>the economy driving the mood. It's fascinating. I mean the

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<v Speaker 1>third possibility is that there's no connection at all and

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<v Speaker 1>people are just drawing random lines on charge. But anyway,

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<v Speaker 1>I'm still intrigued. And there's this guy, Robert Prector, who

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<v Speaker 1>founded something called the Socioomics Institute that examines this in depth,

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<v Speaker 1>this connection between cultural mood day and UH and the market.

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<v Speaker 1>And we are going to be talking to someone who

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<v Speaker 1>works at the Sociogonomics Institute to really dive into these

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<v Speaker 1>connections UH. And we're gonna listen to some Beatles songs, right,

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<v Speaker 1>and that's really what we're doing here. We're gonna listen

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<v Speaker 1>to some Beatles songs and talk about some charts. So

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<v Speaker 1>it should sort of a dream episode. I'm excited. Matt Lampard,

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<v Speaker 1>thank you very much for joining us today. That's a

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<v Speaker 1>pleasure to be here. So Matt, first of all, just

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<v Speaker 1>tell us what is the Sociogomics Institute, what do you do,

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<v Speaker 1>who founded it, and what do you study At the institute.

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<v Speaker 1>We study the relationship between social mood and social events.

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<v Speaker 1>When we tend to think about mood and events. The

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<v Speaker 1>common perception out there is that events shape our mood.

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<v Speaker 1>So we'll read things in the newspaper, like a new

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<v Speaker 1>jobs report came out and that made consumers more optimistic,

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<v Speaker 1>or a politician gives a rousing, encouraging address and perhaps

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<v Speaker 1>that will lift investor confidence. What we do in sociomics

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<v Speaker 1>is we look at that relationship the other way around.

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<v Speaker 1>So instead of starting with the events, we start with

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<v Speaker 1>the mood and we look at how social mood shapes

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<v Speaker 1>the tenor and character of social events, because those events

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<v Speaker 1>have to come from somewhere, and they come from people,

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<v Speaker 1>people who have feelings. So we find that if you

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<v Speaker 1>look at how people are feeling, then you've got a

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<v Speaker 1>leg up on anticipating their actions. And this whole perspective

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<v Speaker 1>came about through a market analyst named Robert Prector. He

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<v Speaker 1>was a Wall Street guy, worked at Meryl Lynch for

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<v Speaker 1>many years as a technical market analyst, and he was successful,

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<v Speaker 1>and he he decided he would start his own firm,

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<v Speaker 1>and the emphasis of the firm started being fairly market focused.

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<v Speaker 1>But as he went on in his career, he realized

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<v Speaker 1>there were all these interesting connections between what was going

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<v Speaker 1>on in the stock market, and what was going on

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<v Speaker 1>in popular culture with music, movies, politics, all sorts of stuff.

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<v Speaker 1>And he started to cultivate a theory that linked those

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<v Speaker 1>two things together. And his proposal was that was a

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<v Speaker 1>common social psychology, a common social mood that was driving

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<v Speaker 1>activity in all of these different domains. So when investors

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<v Speaker 1>were feeling more optimistic, they were inclined a bit of

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<v Speaker 1>stock prices, But when voters were inclined to feel optimistic,

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<v Speaker 1>they were inclined to reelect incumbents. And when teenagers were

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<v Speaker 1>feeling optimistic, they listened to happy, upbeat pop music, and

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<v Speaker 1>then the opposite when that mood turned negative. So, Matt

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<v Speaker 1>tell us, how do you actually go about gauging um

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<v Speaker 1>the public mood? You mentioned pop culture there, but I

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<v Speaker 1>imagine there's some wiggle room for interpretation, right, we look

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<v Speaker 1>at all sorts of indicators. Prector argues that the stock

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<v Speaker 1>market is really the best indicator of social mood because

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<v Speaker 1>not only is it the area where people can express

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<v Speaker 1>their levels of optimism and pessimism, but they can do

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<v Speaker 1>it quite quickly. It just takes a few moments to

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<v Speaker 1>trade a stock, a few clicks of amounts, or a

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<v Speaker 1>call to a broker, and we've got stock data going

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<v Speaker 1>back hundreds of years, so we can back test the

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<v Speaker 1>theory and we can also track mood in real time.

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<v Speaker 1>But we definitely look at a number of other indicators

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<v Speaker 1>as well. There's survey data out there on consumer confidence,

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<v Speaker 1>economic confidence. We look at, as you've mentioned, pop culture indicators,

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<v Speaker 1>what music is popular, what movies are popular. But we

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<v Speaker 1>really find that the stock market is the best indicator

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<v Speaker 1>of mood, and we use some of these other indicators

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<v Speaker 1>to confirm or deny the message of the stock market

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<v Speaker 1>seems to be giving us. Now, in the intro, we

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<v Speaker 1>mentioned the Beatles, and there's this chart that I've seen

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<v Speaker 1>floating around the Internet for a long time titled Major

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<v Speaker 1>Events in the Beatles Career Tracks Social Mood, and it's

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<v Speaker 1>a chart from of the DOWD Jones from nineteen fifty

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<v Speaker 1>six to nineteen seventy and at various times in uh

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<v Speaker 1>these fourteen years, it's annotated with key events in the

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<v Speaker 1>history of the Beatles. So, for example, there's a market

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<v Speaker 1>market peak right around when Rubber Soul came out. It

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<v Speaker 1>spent six weeks at number one. What's the connection there?

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<v Speaker 1>So then the market immediately dropped. So let's let's put

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<v Speaker 1>this social mood theory into practice. Tell us something about

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<v Speaker 1>what was on rubber soul, and then tell us what

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<v Speaker 1>it how it might have indicated a top in the market.

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<v Speaker 1>The study that you're talking about is one that Robert

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<v Speaker 1>Pructor did. It was a case study of the Beatles

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<v Speaker 1>where he tracked their career and found it they were

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<v Speaker 1>a group that that aligned quite well with the with

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<v Speaker 1>the trends in the market. And if you look at

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<v Speaker 1>their history, look at the Beatlemania period basically goes from

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<v Speaker 1>nineteen sixty two to ninete in sixties six, This is

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<v Speaker 1>when they were performing in front of stadiums with screaming fans.

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<v Speaker 1>The whole Beatlemania phenomenon was going on. And what happened,

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<v Speaker 1>Like you said, in nineteen sixty six, this phenomenon tops out.

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<v Speaker 1>It's the top of the market right around the same time.

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<v Speaker 1>And practice argument is that what's happening here is that

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<v Speaker 1>social mood is becoming incredibly optimistic here in the mid

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<v Speaker 1>sixties and investors are expressing that optimism by bidding stock

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<v Speaker 1>market prices stock prices higher and higher, and teenagers are

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<v Speaker 1>expressing it by going out and screaming and buying Beatles

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<v Speaker 1>records and singing along and this sort of thing. And

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<v Speaker 1>after that top in the market in nineteen sixties six,

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<v Speaker 1>what we see is a change in social mood, a

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<v Speaker 1>change in the psychology, and with that change in psychology

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<v Speaker 1>came a change in behavior. So the Beatles decide that

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<v Speaker 1>they're going to stop live touring. They're gonna stay active

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<v Speaker 1>in the studio, but they retire from doing the live shows.

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<v Speaker 1>There's internal tumult within the group. There was even death threats,

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<v Speaker 1>this sort of thing. The market eventually rallies, they get

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<v Speaker 1>more active in the studio. They decide that they're gonna

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<v Speaker 1>record and put out another album. But the bear market

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<v Speaker 1>was already in play here. And in April of nineteen seventies,

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<v Speaker 1>that bear market really started to unfold. Paul announced that

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<v Speaker 1>he was leaving the group, and then the band released

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<v Speaker 1>their last studio album early the following month, within days

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<v Speaker 1>of the Kent State shooting. It's also the month of

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<v Speaker 1>a of a low in the market. So we see

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<v Speaker 1>this change in psychology showing up throughout the social experience.

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<v Speaker 1>That's showing up in the market, it showing up in

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<v Speaker 1>the music, and it's showing up in the character of

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<v Speaker 1>political and social events as well. But here's what I

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<v Speaker 1>don't get about the specific example. So if you say

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<v Speaker 1>that the peak of Beatlemania coincided with the top of

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<v Speaker 1>the stock market stock market and a lot of teenagers

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<v Speaker 1>were really excited about this new rock group and they

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<v Speaker 1>were singing along, I mean there were a lot of

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<v Speaker 1>people around who didn't like the Beatles and who saw

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<v Speaker 1>it as like a sign of the deterioration of the

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<v Speaker 1>old world order um that they were familiar with. So

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<v Speaker 1>how do you kind of I mean, how do you gauge,

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<v Speaker 1>like who likes what and which is more important for

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<v Speaker 1>overall mood. We really look at what's popular. The Beatles

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<v Speaker 1>are one of the most popular music acts in the

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<v Speaker 1>history of the planet. And sure, of course there's always

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<v Speaker 1>a mix, right there are people who who like certain

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<v Speaker 1>things and people who don't like other things. But they're

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<v Speaker 1>definitely a certainly a very very popular group. But it's

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<v Speaker 1>important to keep in mind too that of course there's

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<v Speaker 1>a mix of opinions, beliefs, actions, uh feelings in society

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<v Speaker 1>at all times. Social moods always in flux, and within

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<v Speaker 1>that flux, there's always a mix going on. But the

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<v Speaker 1>question we look at. What we look at is what's

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<v Speaker 1>the quantity and intensity of positive expressions relative to negative expressions.

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<v Speaker 1>So things are never uniformly positive, they're never uniformly negative.

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<v Speaker 1>There's always a mix, but sometimes the balance is shifted

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<v Speaker 1>far more towards the positive side or far more towards

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<v Speaker 1>the negative side. And that's really where you can get

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<v Speaker 1>a better idea of what's going on in the mood

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<v Speaker 1>trend continuing on the Beatles, and then we could sort

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<v Speaker 1>of move off it. I noticed in the late sixties

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<v Speaker 1>that the White Album was released, That's one of my

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<v Speaker 1>favorite albums, and that sort of that was a key

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<v Speaker 1>peak in the market well, and there was also a

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<v Speaker 1>change in the tone of the music around the around

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<v Speaker 1>this time as well. They started becoming more introspective, the

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<v Speaker 1>songwriting became more complex, And one of practice observations is

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<v Speaker 1>that in negative mood periods, one of the manifestations that

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<v Speaker 1>we see, at least in the music world is uh,

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<v Speaker 1>not only a harder edged sound to it, but also

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<v Speaker 1>more sophisticated lyrics, more sophisticated songwriting. And as the Beatles

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<v Speaker 1>grew war on, is there a song that you think

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<v Speaker 1>from that period that really sort of captures this new

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<v Speaker 1>style of introspective, slightly darker songwriting of the Beatles. It

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<v Speaker 1>one could listen to that would have foreshadowed the coming

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<v Speaker 1>sell off in the market appears right after that the

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<v Speaker 1>dow was it around one thousand fell as uh got

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<v Speaker 1>around six hundred, so fairly significant sell off in the

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<v Speaker 1>TAO over the next couple of years. Is there a

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<v Speaker 1>song or something that sort of you think really encapsulates

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<v Speaker 1>this mood change. Well, there's definitely a change in the

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<v Speaker 1>in the tone of the music. For example, if you

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<v Speaker 1>look at the Beatles early stuff, it's energetic, they're singing

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<v Speaker 1>you know, she loves you, Yeah, yeah, yeah, and then

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<v Speaker 1>by the end they're singing, Hey Jude, and it's you know,

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<v Speaker 1>it's it's slower, it's dorker, Hey, don't make it bad.

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<v Speaker 1>But really, what we're doing here is what we're trying

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<v Speaker 1>to look at, is this change in psychology that's going on.

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<v Speaker 1>And we're not necessarily using the Beatles as a cell

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<v Speaker 1>signal or a by signal or something like that. We're

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<v Speaker 1>really just trying to say this psychology is showing up

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<v Speaker 1>and a lot of different areas of social expression in music.

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<v Speaker 1>Music is one of those. And now let's take a

0:13:05.559 --> 0:13:08.320
<v Speaker 1>break for a word from our sponsor. But first we

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0:14:32.920 --> 0:14:36.160
<v Speaker 1>and we're back. We were just talking about the Beatles

0:14:36.360 --> 0:14:39.800
<v Speaker 1>and whether or not you can sort of trace social

0:14:39.880 --> 0:14:42.440
<v Speaker 1>mood through the ups and downs of the Beatles career

0:14:42.760 --> 0:14:47.480
<v Speaker 1>and whether that has an impact on wider markets. Uh So, Matt,

0:14:47.920 --> 0:14:52.000
<v Speaker 1>I wanted to fast forward about forty years. Let's go

0:14:52.800 --> 0:14:55.360
<v Speaker 1>straight to now. When you look at the social mood

0:14:55.560 --> 0:14:58.880
<v Speaker 1>at the moment, what do you see and what particular

0:14:59.200 --> 0:15:01.880
<v Speaker 1>things are you looking at to gauge it? Right? So

0:15:02.040 --> 0:15:04.840
<v Speaker 1>mood right now? Is is is that a really interesting juncture.

0:15:04.920 --> 0:15:08.120
<v Speaker 1>So we've got in the US, you've got the markets

0:15:08.200 --> 0:15:11.720
<v Speaker 1>near all time highs. There's been all sorts of things

0:15:11.720 --> 0:15:14.160
<v Speaker 1>written about how how calm the markets are and how

0:15:14.240 --> 0:15:16.280
<v Speaker 1>voll I mean, we've heard this one a million times

0:15:16.320 --> 0:15:19.520
<v Speaker 1>over the past a month or so. Uh So, you've

0:15:19.520 --> 0:15:23.000
<v Speaker 1>got this this complacency that's going on at least in

0:15:23.040 --> 0:15:24.960
<v Speaker 1>the US. But if you turn around and you look

0:15:25.040 --> 0:15:27.360
<v Speaker 1>elsewhere in the globe, let's say you go over to Europe,

0:15:27.360 --> 0:15:30.240
<v Speaker 1>what you see is a pretty different picture. The Eurostocks

0:15:30.240 --> 0:15:33.360
<v Speaker 1>fifty index topped in two thousand and on that basis,

0:15:33.440 --> 0:15:36.520
<v Speaker 1>the eurostocks has been in a bear market ever since. Now,

0:15:36.600 --> 0:15:39.440
<v Speaker 1>some national indexes have rallied to new all time highs,

0:15:39.640 --> 0:15:42.920
<v Speaker 1>or if not, have rallied strongly within that trend of late.

0:15:43.240 --> 0:15:45.120
<v Speaker 1>But you look at the tenor of character and actions

0:15:45.120 --> 0:15:48.440
<v Speaker 1>in Europe and they're so different. You've got all kinds

0:15:48.440 --> 0:15:52.120
<v Speaker 1>of political fracturing going on within the EU, You've got

0:15:52.200 --> 0:15:54.440
<v Speaker 1>breakdowns in tension. I mean, this was supposed to be

0:15:54.600 --> 0:15:57.280
<v Speaker 1>a glorious alliance of all these countries that have fought

0:15:57.560 --> 0:15:59.480
<v Speaker 1>for thousands of years with each other, and now that

0:15:59.560 --> 0:16:01.760
<v Speaker 1>they tried get together in form a a union, well,

0:16:01.800 --> 0:16:06.080
<v Speaker 1>that's a manifestation in itself of of of a large

0:16:06.080 --> 0:16:09.200
<v Speaker 1>degree positive mood trend. And as that moods turned negative,

0:16:09.200 --> 0:16:13.160
<v Speaker 1>we've seen the social manifestations of that turn negative as well.

0:16:13.640 --> 0:16:15.600
<v Speaker 1>And we've gotten a flavor of that in the US.

0:16:15.680 --> 0:16:19.640
<v Speaker 1>Certainly there's there's all kinds of polarization to it, but certainly, uh,

0:16:19.720 --> 0:16:22.120
<v Speaker 1>not quite at the level of Europe just yet. When

0:16:22.120 --> 0:16:25.440
<v Speaker 1>you look at cultural things in the US, is there

0:16:25.480 --> 0:16:31.040
<v Speaker 1>anything equivalent that you're tracking, uh sort of musically film

0:16:31.160 --> 0:16:35.640
<v Speaker 1>stuff artistically that sort of might give you a sense

0:16:35.880 --> 0:16:38.840
<v Speaker 1>of where the mood is in the US. Are signs

0:16:38.880 --> 0:16:40.760
<v Speaker 1>that it may be turning in one direction or another.

0:16:41.480 --> 0:16:43.960
<v Speaker 1>One of the things that practice looked at in the

0:16:44.000 --> 0:16:48.600
<v Speaker 1>movie space in particular is is trends and Disney movies

0:16:48.720 --> 0:16:52.920
<v Speaker 1>versus trends and horror movies. So the heyday of Disney

0:16:52.960 --> 0:16:56.240
<v Speaker 1>in the mid nineteen sixties, uh, where they released some

0:16:56.280 --> 0:16:58.880
<v Speaker 1>of their classic films, and of course it's started with

0:16:59.200 --> 0:17:02.000
<v Speaker 1>White Well, but were then uh, you know this is

0:17:02.040 --> 0:17:04.680
<v Speaker 1>this is a great positive mood stuff, upbeat, family fair.

0:17:04.960 --> 0:17:07.879
<v Speaker 1>There's a Disney renaissance in the late eighties and the

0:17:07.960 --> 0:17:10.840
<v Speaker 1>nineties where again they just had hit after hit after hit,

0:17:11.560 --> 0:17:15.200
<v Speaker 1>and then that got interrupted. In the early two thousands,

0:17:15.280 --> 0:17:18.600
<v Speaker 1>horror movies came back in vogue. You had the saw films,

0:17:18.720 --> 0:17:21.520
<v Speaker 1>the torture movies, and these films were a call back

0:17:21.600 --> 0:17:23.480
<v Speaker 1>to films that were popular in the bear market of

0:17:23.520 --> 0:17:27.240
<v Speaker 1>the sixties and seventies, the Texas Chainsaw Massacre, and then

0:17:27.280 --> 0:17:31.600
<v Speaker 1>just just genuinely scary films like The Exorcist, which themselves

0:17:31.680 --> 0:17:34.119
<v Speaker 1>were called backs to films that are popular in in

0:17:34.160 --> 0:17:38.639
<v Speaker 1>the early nineteen thirties during the depression. Dracula, Frankenstein, this

0:17:38.720 --> 0:17:44.159
<v Speaker 1>sort of thing. So right now, we we've seen another

0:17:44.280 --> 0:17:47.800
<v Speaker 1>hit from Disney. They had frozen fairly recently in the

0:17:47.840 --> 0:17:50.440
<v Speaker 1>past few years. But then, but then, of course, the

0:17:50.960 --> 0:17:53.040
<v Speaker 1>Beauty and the Beast remake was a huge hit. They

0:17:53.040 --> 0:17:54.879
<v Speaker 1>had a Cinderella remake, there was a huge hit. The

0:17:54.960 --> 0:17:57.840
<v Speaker 1>Jungle Book remake was a huge hit. So those movies

0:17:57.840 --> 0:17:59.960
<v Speaker 1>are still popular, and we think that the social mood

0:18:00.000 --> 0:18:01.439
<v Speaker 1>has a lot to do with that. But if you're

0:18:01.440 --> 0:18:04.119
<v Speaker 1>a horror movie fan, just hold your breath. It's okay.

0:18:04.520 --> 0:18:07.240
<v Speaker 1>When mood turns negative. There should be some more groundbreaking

0:18:07.240 --> 0:18:09.960
<v Speaker 1>horror stuff on the way for you. I mean you

0:18:09.960 --> 0:18:13.960
<v Speaker 1>you're mentioning Disney movies. Um, the comeback of Disney right now.

0:18:14.480 --> 0:18:18.040
<v Speaker 1>You mentioned earlier that the stock market was probably the

0:18:18.080 --> 0:18:21.040
<v Speaker 1>best expression of current mood. So if you look at

0:18:21.080 --> 0:18:24.520
<v Speaker 1>the US market, which seems to be reaching new highs

0:18:24.760 --> 0:18:29.160
<v Speaker 1>um every week, now, how do you square that with

0:18:29.200 --> 0:18:32.360
<v Speaker 1>what's been going on in politics? Because when we look

0:18:32.359 --> 0:18:35.240
<v Speaker 1>at the US elections, UM and a lot of the

0:18:35.280 --> 0:18:39.159
<v Speaker 1>sort of populist political issues happening right now, it seems

0:18:39.160 --> 0:18:40.840
<v Speaker 1>like there is a lot of anger out there, and

0:18:40.920 --> 0:18:43.520
<v Speaker 1>there is a lot of uncertainty. There's definitely a lot

0:18:43.560 --> 0:18:46.320
<v Speaker 1>of political polarization going on in the US. And in fact,

0:18:46.359 --> 0:18:49.240
<v Speaker 1>my colleague here at the Institute, Robert Fulsome, did a

0:18:49.280 --> 0:18:52.639
<v Speaker 1>study called y Trump Why Now. It came out in

0:18:53.400 --> 0:18:57.600
<v Speaker 1>March of during the primaries, and one of the interesting

0:18:57.640 --> 0:19:01.359
<v Speaker 1>things about the primaries is that the candidates on the

0:19:01.359 --> 0:19:04.520
<v Speaker 1>Republican side, at least initially didn't take Trump very seriously.

0:19:04.640 --> 0:19:07.639
<v Speaker 1>Jeb Bush spent all kinds of money attacking the other

0:19:08.240 --> 0:19:10.920
<v Speaker 1>challengers and basically figured here this Trump guile peter out

0:19:10.920 --> 0:19:15.560
<v Speaker 1>on his own. But Robert looked at the market and

0:19:15.800 --> 0:19:19.040
<v Speaker 1>reached a different conclusion. Now, what we like to do

0:19:19.160 --> 0:19:20.679
<v Speaker 1>with the market is we like to look at at

0:19:20.680 --> 0:19:23.000
<v Speaker 1>a nominal terms. We also like to look at it

0:19:23.119 --> 0:19:25.399
<v Speaker 1>in real money terms. And if you look at the

0:19:25.400 --> 0:19:27.679
<v Speaker 1>market in real terms, that you find is that the

0:19:27.720 --> 0:19:31.560
<v Speaker 1>all time high in the US was and we've been

0:19:31.600 --> 0:19:34.720
<v Speaker 1>in a large degree bear market ever since. Now since

0:19:35.520 --> 0:19:38.520
<v Speaker 1>index has been rallying, we think it's a bear market rally.

0:19:38.600 --> 0:19:40.240
<v Speaker 1>But once you start to see, okay, well, we've got

0:19:40.240 --> 0:19:42.439
<v Speaker 1>nominal markets at all time high as you've got the

0:19:42.480 --> 0:19:44.800
<v Speaker 1>market in real terms, in this bear market rally, it

0:19:44.880 --> 0:19:46.879
<v Speaker 1>makes sense that you'd still see a little bit more

0:19:46.920 --> 0:19:49.840
<v Speaker 1>of a mix, and the polarization that we saw in

0:19:49.880 --> 0:19:53.840
<v Speaker 1>the in the election certainly makes sense in that context.

0:19:53.920 --> 0:19:56.679
<v Speaker 1>And we think that if we see the nominal indexes

0:19:56.920 --> 0:20:00.280
<v Speaker 1>joining the real money indexes on the downside, that's when

0:20:01.160 --> 0:20:06.120
<v Speaker 1>what seems like intense polarization now will get even more. So. Yeah,

0:20:06.160 --> 0:20:08.719
<v Speaker 1>it sort of reminds me of one of my favorite charts,

0:20:09.200 --> 0:20:12.080
<v Speaker 1>which is just the the Dow Jones divided by the

0:20:12.119 --> 0:20:16.000
<v Speaker 1>price of gold, because it's sort of to me, is

0:20:16.040 --> 0:20:19.440
<v Speaker 1>like a measure of like, you know, stocks are, there's

0:20:19.520 --> 0:20:23.840
<v Speaker 1>a sort of investment in human capital, cooperation, society progressing,

0:20:24.200 --> 0:20:26.919
<v Speaker 1>and gold is a rock or a metal or something

0:20:26.960 --> 0:20:29.600
<v Speaker 1>that has no real productive value. And what you see

0:20:29.720 --> 0:20:33.400
<v Speaker 1>is sort of as you say, in two thousand, that

0:20:33.560 --> 0:20:36.639
<v Speaker 1>ratio hit incredible heights and we're still not anywhere in

0:20:36.720 --> 0:20:39.480
<v Speaker 1>that declined as you said through two thousand eleven was

0:20:39.520 --> 0:20:42.600
<v Speaker 1>when that ratio hit it's low, and we're still not

0:20:42.760 --> 0:20:46.919
<v Speaker 1>anywhere near the old highs in terms of uh, you know,

0:20:47.320 --> 0:20:50.919
<v Speaker 1>that ratio signaling at least you know, relative to about

0:20:51.160 --> 0:20:53.440
<v Speaker 1>you know, fifteen or twenty years ago. People are still

0:20:53.440 --> 0:20:57.080
<v Speaker 1>really into rocks relative to humans. That's right. It's interesting

0:20:57.080 --> 0:20:59.760
<v Speaker 1>to look at markets priced and gold. We we like

0:20:59.840 --> 0:21:01.760
<v Speaker 1>to look at Dow Gold for sure. In my colleague

0:21:01.760 --> 0:21:03.640
<v Speaker 1>Allen Hall has just been doing some work recently where

0:21:03.640 --> 0:21:07.280
<v Speaker 1>he's looking at lots of other national stock indexes priced

0:21:07.800 --> 0:21:11.320
<v Speaker 1>in gold. And what you find when you do that

0:21:11.440 --> 0:21:15.399
<v Speaker 1>is that the rally in the U S sinceleven is

0:21:15.840 --> 0:21:18.159
<v Speaker 1>one of the longer rallies when you look at these

0:21:18.200 --> 0:21:22.080
<v Speaker 1>gold denominated indexes globally, a market like Russia has seen

0:21:22.200 --> 0:21:25.280
<v Speaker 1>its nominally in real money indexes falling in tandem since

0:21:25.320 --> 0:21:27.840
<v Speaker 1>about two thousand eight. And when you look at the

0:21:27.840 --> 0:21:31.320
<v Speaker 1>social manifestations that are going on in Russia, suddenly it

0:21:31.440 --> 0:21:33.399
<v Speaker 1>starts to make a little bit more sense. I mean,

0:21:33.440 --> 0:21:37.080
<v Speaker 1>back in two thousand seven, Russia was the darling of

0:21:37.080 --> 0:21:41.120
<v Speaker 1>of of investors. Vladimir Putin was Times Man of the Year.

0:21:41.240 --> 0:21:44.520
<v Speaker 1>They were part of this assortment of brick countries along

0:21:44.560 --> 0:21:47.560
<v Speaker 1>with Brazil, Indya and China, where there was allegedly huge

0:21:47.560 --> 0:21:53.240
<v Speaker 1>investment opportunities out there. And in that environment, Alan said, look,

0:21:53.240 --> 0:21:57.840
<v Speaker 1>there's so much optimism surrounding Russia right now. This is

0:21:58.000 --> 0:22:01.479
<v Speaker 1>very likely going to be a peak in the Russian markets,

0:22:01.480 --> 0:22:04.320
<v Speaker 1>and use the Elliot wave model to to verify that analysis,

0:22:04.359 --> 0:22:07.080
<v Speaker 1>and said, folks, we've got a major bear market coming

0:22:07.520 --> 0:22:10.760
<v Speaker 1>in Russian. When we see that that change in psychology

0:22:10.760 --> 0:22:13.520
<v Speaker 1>manifest in the market, that's when it's definitely time to

0:22:13.520 --> 0:22:17.640
<v Speaker 1>be on the lookout for a military resurgence from from

0:22:17.640 --> 0:22:20.359
<v Speaker 1>that country. And after the market declined, there was the

0:22:20.400 --> 0:22:24.639
<v Speaker 1>invasion of Ukraine and and we've seen just just this

0:22:24.760 --> 0:22:28.639
<v Speaker 1>resurgence and militarism coming coming from Russian And once you

0:22:28.720 --> 0:22:31.000
<v Speaker 1>understand the psychology over there in the context of this

0:22:31.520 --> 0:22:34.000
<v Speaker 1>long term negative mood trend, it starts to make make

0:22:34.040 --> 0:22:36.960
<v Speaker 1>a lot more sense. Matt. That kind of reminds me.

0:22:37.040 --> 0:22:40.600
<v Speaker 1>I wanted to ask how much um analysis you do

0:22:40.840 --> 0:22:45.000
<v Speaker 1>on non US, non European countries and how you actually

0:22:45.160 --> 0:22:48.840
<v Speaker 1>do that analysis, Like would you gauge social mood in

0:22:49.320 --> 0:22:52.600
<v Speaker 1>an emerging market like India or Vietnam And how does

0:22:52.840 --> 0:22:56.399
<v Speaker 1>gathering that information differ from doing it in a developed market.

0:22:57.240 --> 0:23:00.560
<v Speaker 1>Sure well, with the wave of globalization that that took

0:23:00.600 --> 0:23:03.040
<v Speaker 1>hold from the eighties and nineties and into the early

0:23:03.080 --> 0:23:07.399
<v Speaker 1>two thousand, we've got market index is just just about

0:23:07.440 --> 0:23:10.800
<v Speaker 1>all over the world, and we have analysts who cover

0:23:10.880 --> 0:23:13.679
<v Speaker 1>those markets and also look at them through a socionomic

0:23:13.800 --> 0:23:17.360
<v Speaker 1>lens to look at the cultural manifestations in those countries.

0:23:17.400 --> 0:23:20.199
<v Speaker 1>My colleague Mark Galaschowski does a lot of work in

0:23:20.359 --> 0:23:23.600
<v Speaker 1>Asia and the Middle East, looking at India, Pakistan and

0:23:23.640 --> 0:23:26.919
<v Speaker 1>then China, Japan. This sort of thing, and the method

0:23:27.000 --> 0:23:29.479
<v Speaker 1>is is similar to what we do in the U

0:23:29.640 --> 0:23:33.000
<v Speaker 1>S where you take the stock index in the local country,

0:23:33.160 --> 0:23:35.000
<v Speaker 1>use that as an indicator of mood, and then you

0:23:35.440 --> 0:23:37.800
<v Speaker 1>use it as a as a benchmark to forecast and

0:23:37.840 --> 0:23:42.240
<v Speaker 1>contextualize social events that are going on over there. Uh.

0:23:42.400 --> 0:23:44.720
<v Speaker 1>Now we have to wrap up soon. But I think

0:23:44.840 --> 0:23:48.080
<v Speaker 1>you know. The part that sort of I'm still struggling

0:23:48.119 --> 0:23:52.600
<v Speaker 1>with is you know, and I'm sure you've heard this

0:23:53.080 --> 0:23:56.439
<v Speaker 1>people questioned this before, which is that you know, you

0:23:56.480 --> 0:23:58.960
<v Speaker 1>can see a market move, you can see a move

0:23:59.160 --> 0:24:01.679
<v Speaker 1>in the stock mark it and then go back and

0:24:01.800 --> 0:24:05.719
<v Speaker 1>construct an argument for why the mood was good. So

0:24:05.840 --> 0:24:08.760
<v Speaker 1>we say, okay, uh, the stock market has been doing

0:24:08.840 --> 0:24:11.040
<v Speaker 1>really well for the last several years. And look at

0:24:11.080 --> 0:24:13.439
<v Speaker 1>Disney movies. There are a lot more Disney movies than

0:24:13.480 --> 0:24:15.840
<v Speaker 1>there were horror movies, and so this is a sign

0:24:15.920 --> 0:24:19.200
<v Speaker 1>that people are optimistic or you're saying, uh, the US

0:24:19.240 --> 0:24:22.200
<v Speaker 1>elected Trump and you're like, but we're you know, we're

0:24:22.240 --> 0:24:25.119
<v Speaker 1>still kind of in a long term bear market in

0:24:25.200 --> 0:24:27.760
<v Speaker 1>real terms, what do you say to people who say

0:24:27.800 --> 0:24:32.840
<v Speaker 1>that this kind of analysis is essentially retrospective fitting of

0:24:32.920 --> 0:24:36.720
<v Speaker 1>events to markets and that you can sort of ex

0:24:36.800 --> 0:24:41.560
<v Speaker 1>post facto come up with any uh, any mood characterization

0:24:41.640 --> 0:24:45.119
<v Speaker 1>that you'd like to get it to work. Well, I

0:24:45.160 --> 0:24:48.720
<v Speaker 1>think having some objective criteria for your analysis goes a

0:24:48.760 --> 0:24:51.400
<v Speaker 1>long way in doing that. But the other the other

0:24:51.480 --> 0:24:53.840
<v Speaker 1>thing that we do is we issue real time forecasts

0:24:53.880 --> 0:24:55.960
<v Speaker 1>all the time. We've got a monthly publication called the

0:24:56.000 --> 0:24:59.320
<v Speaker 1>Socioonomists where every month we're issuing real time forecast and

0:24:59.359 --> 0:25:02.600
<v Speaker 1>analysis of what's happening right now and looking ahead into

0:25:02.640 --> 0:25:04.919
<v Speaker 1>the future. So I think you you just do your

0:25:04.920 --> 0:25:06.920
<v Speaker 1>best to forecast in real time, and then when you

0:25:06.960 --> 0:25:08.399
<v Speaker 1>look at the past, you just try to be as

0:25:08.400 --> 0:25:10.960
<v Speaker 1>objective as you can, lay down some parameters and see

0:25:10.960 --> 0:25:14.879
<v Speaker 1>where the where the data. Thank you, Matt Lampert of

0:25:14.920 --> 0:25:19.760
<v Speaker 1>the Sociogomics Institute. Really appreciate you coming on fascinating work

0:25:19.840 --> 0:25:33.120
<v Speaker 1>that you do. Thank you so much. So, Tracy, are

0:25:33.160 --> 0:25:37.560
<v Speaker 1>you going to start scanning the weekly billboard charts and

0:25:37.920 --> 0:25:41.639
<v Speaker 1>box office receipts to gain some insight on where the

0:25:41.680 --> 0:25:45.040
<v Speaker 1>market's going. I was kind of thinking, like, if if

0:25:45.080 --> 0:25:47.960
<v Speaker 1>you think that the Beatles were a good way of

0:25:48.160 --> 0:25:51.200
<v Speaker 1>gauging social mood because they were something around which a

0:25:51.280 --> 0:25:55.480
<v Speaker 1>large proportion of people coalesced, what would be the equivalent today?

0:25:55.680 --> 0:25:59.199
<v Speaker 1>And the only thing I could think of, um was

0:25:59.240 --> 0:26:04.359
<v Speaker 1>either Taylor Swift or maybe One Direction or Beyonce. I

0:26:04.400 --> 0:26:08.600
<v Speaker 1>don't know, well I would say, yeah, I was gonna say,

0:26:08.640 --> 0:26:13.080
<v Speaker 1>Taylor Swift and Beyonce are probably the only two musicians

0:26:13.119 --> 0:26:19.359
<v Speaker 1>today that have the sort of like megapower, mega influence,

0:26:19.560 --> 0:26:21.479
<v Speaker 1>mega fan base that might be able to tell you

0:26:21.560 --> 0:26:25.960
<v Speaker 1>anything about where the market's going. So maybe that's a

0:26:26.000 --> 0:26:28.960
<v Speaker 1>good a good reason to listen to both of them

0:26:28.960 --> 0:26:33.280
<v Speaker 1>more closely and see how their songwriting styles evolved. Right,

0:26:33.320 --> 0:26:35.520
<v Speaker 1>It is interesting. I think Taylor Swift like sort of

0:26:35.600 --> 0:26:40.040
<v Speaker 1>switched from h from country to pop fairly around the

0:26:41.080 --> 0:26:44.400
<v Speaker 1>time the market rebounded, So maybe there is something there. Yeah,

0:26:44.440 --> 0:26:47.200
<v Speaker 1>but here's the thing I mean, I was kind of

0:26:47.359 --> 0:26:51.680
<v Speaker 1>talking about it with the Beatles, but like, does everyone

0:26:51.840 --> 0:26:55.440
<v Speaker 1>love Taylor swift know, like, is it a pretty big movement?

0:26:55.560 --> 0:26:57.879
<v Speaker 1>I just I just don't know how much signal you

0:26:57.920 --> 0:27:01.159
<v Speaker 1>can actually get UM from Taylor's it. No, And I

0:27:01.200 --> 0:27:04.400
<v Speaker 1>thought that was a really good question in general, that yeah,

0:27:04.440 --> 0:27:07.239
<v Speaker 1>sure the Beatles are popular, but other people probably at

0:27:07.240 --> 0:27:09.600
<v Speaker 1>the time, So it is the you know, the collapse

0:27:09.640 --> 0:27:12.000
<v Speaker 1>of Western civilization that the kids were listening to rock

0:27:12.040 --> 0:27:15.520
<v Speaker 1>and roll. So I think it's intriguing stuff. I love

0:27:15.600 --> 0:27:19.359
<v Speaker 1>looking at their charts. They fascinate me. Um, I'm not

0:27:19.600 --> 0:27:23.520
<v Speaker 1>sure I would, you know, necessarily commit my life savings

0:27:23.520 --> 0:27:26.920
<v Speaker 1>to strategies based on it. But you know, look, I

0:27:27.000 --> 0:27:29.520
<v Speaker 1>mean I consider myself an open minded person, so I

0:27:29.520 --> 0:27:32.360
<v Speaker 1>won't dismiss it entirely. Look, I think most people would

0:27:32.400 --> 0:27:35.280
<v Speaker 1>say the more data that you can get, UM, the

0:27:35.480 --> 0:27:39.479
<v Speaker 1>more informed you are as an investor. So there, I

0:27:39.520 --> 0:27:42.320
<v Speaker 1>feel like there is something there with social mood. Absolutely,

0:27:42.359 --> 0:27:45.520
<v Speaker 1>And you know, one of our previous guests on the show, UM,

0:27:45.520 --> 0:27:49.359
<v Speaker 1>Peter Atwater from Financial Insights UH is also very into it,

0:27:49.400 --> 0:27:52.080
<v Speaker 1>and he does it very well. And if you think

0:27:52.119 --> 0:27:55.320
<v Speaker 1>about the economy and the fact that a large portion

0:27:55.359 --> 0:27:58.920
<v Speaker 1>of the economy is driven by people's confidence and their

0:27:59.080 --> 0:28:03.360
<v Speaker 1>belief in their ability to invest. Then there is an

0:28:03.359 --> 0:28:05.960
<v Speaker 1>obvious link. I just find it difficult to kind of

0:28:06.560 --> 0:28:09.680
<v Speaker 1>tease it out because ultimately you're dealing with human behavior

0:28:09.920 --> 0:28:13.240
<v Speaker 1>and emotions and it can be tricky. Still, it's a

0:28:13.280 --> 0:28:16.120
<v Speaker 1>good excuse to listen to more music. Yeah, okay, let's

0:28:16.160 --> 0:28:19.240
<v Speaker 1>go do that. All right, sounds good. This has been

0:28:19.280 --> 0:28:22.600
<v Speaker 1>another episode of the Odd LODs podcast. I'm Joseph Why

0:28:22.640 --> 0:28:24.439
<v Speaker 1>Isn't There? You can follow me on Twitter at the

0:28:24.480 --> 0:28:28.440
<v Speaker 1>Stalwart and I'm Tracy Alloway. I'm on Twitter at Tracy Alloway.

0:28:28.440 --> 0:28:44.360
<v Speaker 1>Thanks for listening. Put knowledge to work and grow your

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<v Speaker 1>business with c i T from transportation to healthcare to manufacturing.

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