WEBVTT - Facebook Unit Works With Nearly Anyone Seeking Power: Silver

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<v Speaker 1>Welcome to the Bloomberg pim L Podcast. I'm pim Fox.

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<v Speaker 1>Along with my co host Lisa Abramowitz. Each day we

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<v Speaker 1>bring you the most important, noteworthy, and useful interviews for

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<v Speaker 1>you and your money, whether you're at the grocery store

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<v Speaker 1>or the trading floor. Find the Bloomberg p and L

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<v Speaker 1>Podcast on Apple Podcasts, SoundCloud and Bloomberg dot com. What

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<v Speaker 1>does what does India's Prime Minister Narendra Modi have in

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<v Speaker 1>common with the President of the Philippines, Rodrigo du Terte,

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<v Speaker 1>as well as the Scottish National Party, an alternative for

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<v Speaker 1>Germany another party that is based in Germany. Well, here

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<v Speaker 1>to tell us is Vernon Silver Projects, an investigations reporter

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<v Speaker 1>for Bloomberg. He joins us from Rome, Vernon, I'm gonna

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<v Speaker 1>let you tell people what do what do all four

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<v Speaker 1>of these different political connections have in common? They've all

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<v Speaker 1>gotten advice in elections from Facebook, from a special unit

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<v Speaker 1>within the company that focuses on politics and governments and

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<v Speaker 1>has apparently increasingly participated in helping in electioneering. This is

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<v Speaker 1>an amazing story. I highly recommend everyone read it. This

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<v Speaker 1>Facebook team helps regimes that reach out and cracked down um, Vernon,

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<v Speaker 1>do we have a sense of the financials here of

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<v Speaker 1>how much Facebook earns from helping these campaigns to disseminate

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<v Speaker 1>their message as widely as possible on social media. What's

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<v Speaker 1>what's interesting about this is how small the direct numbers are.

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<v Speaker 1>You know, in some of these campaigns. Uh, they were

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<v Speaker 1>only spending hundreds of thousands of dollars on these campaigns.

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<v Speaker 1>But as Facebook has learned through the last few election cycles, UM,

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<v Speaker 1>these are big events. Elections are big events that rank

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<v Speaker 1>alongside the Super Bowl in the Olympics in terms of

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<v Speaker 1>drawing black block blockbuster ad dollars from elsewhere, you know,

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<v Speaker 1>stuff that other participants are bringing into the conversation and

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<v Speaker 1>more importantly, boost engagement, which is sort of the key

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<v Speaker 1>metric at Facebook. That includes you know, how many people

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<v Speaker 1>are clicking how many times and sharing how many times?

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<v Speaker 1>And so if you get a party in Germany or

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<v Speaker 1>the Philippines that's spending hundreds of thousands, um, you might

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<v Speaker 1>end up seeing a multiplier effect, and that's what they've

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<v Speaker 1>really tuned into. So Vernon, can you give us some

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<v Speaker 1>details about what encouraging engagement means, What does it mean

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<v Speaker 1>to help these campaigns, what did this unit actually do well?

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<v Speaker 1>It started out, this unit started in Europe servicing the

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<v Speaker 1>Middle East after the Arab Spring, talking to new leaders

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<v Speaker 1>transitional governments, trying to let them know what this new

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<v Speaker 1>tool was Facebook. I mean, this is just a few

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<v Speaker 1>years ago. Facebook did not have the two billion users

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<v Speaker 1>that it had. And then a few years ago they

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<v Speaker 1>started staffing up in Washington, and they did so with

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<v Speaker 1>people who came from political campaign backgrounds. And what they

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<v Speaker 1>started doing was taking the traditional pitch, like you know, hey,

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<v Speaker 1>campaign X and Y, because they were helping everybody in

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<v Speaker 1>every race that they went to deal with UM in

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<v Speaker 1>addition to verifying you as an authentic Facebook user, helping

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<v Speaker 1>you figure out how to use the basic tools and

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<v Speaker 1>leaving you the campaign to do it. They started getting

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<v Speaker 1>more engaged to the point where in the last election

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<v Speaker 1>in the US there were Facebook employees embedded with the

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<v Speaker 1>Trump campaign and you know, even in local elections, we

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<v Speaker 1>saw that some in the US were being offered collaboration

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<v Speaker 1>on testing different video formats with Facebook. So the collaborative

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<v Speaker 1>nature grew. And that's what the issue is that some

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<v Speaker 1>of the critics are having. Can you explain or maybe

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<v Speaker 1>just give a little uh sort of story about Katie

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<v Speaker 1>Harbath and Elizabeth Linder who are these two individuals. There's

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<v Speaker 1>interesting Elizabeth Linder Um started the unit. She was based

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<v Speaker 1>in London for Facebook. She was very early Facebook employee

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<v Speaker 1>and she started sort of as an ambassadorial figure making

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<v Speaker 1>the rounds in Europe and the Middle East and Africa,

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<v Speaker 1>helping introduce people to the tools, and she would just

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<v Speaker 1>sort of leave them there with them and she would

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<v Speaker 1>make a presentation to the candidates on the right and

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<v Speaker 1>the candidates on the left, and that was it. But

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<v Speaker 1>then a few years in UM Katie Harbath is hired

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<v Speaker 1>and she's a former Republican strategist who worked at Rudy

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<v Speaker 1>Giuliani's two thousand and eight presidential campaign. And things started changing.

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<v Speaker 1>Among other things, that Katie became the the global leader

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<v Speaker 1>of this politics and government unit within Facebook, which is

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<v Speaker 1>a small unit at most, you know, maybe a hundred

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<v Speaker 1>or something people during a pea collection time. And according

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<v Speaker 1>to what Elizabeth Linder, who is no longer with Facebook,

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<v Speaker 1>she left because of a different opinion about the direction

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<v Speaker 1>they were going. UM they started tailoring the advice that

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<v Speaker 1>they had to each of the parties that were involved

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<v Speaker 1>in getting more and more involved. So it went from

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<v Speaker 1>sort of a think tanking NGO vibe to one where like,

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<v Speaker 1>we will bring in democrats to work with the democratic

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<v Speaker 1>side and Republican support with the work with the other side,

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<v Speaker 1>and you know, we're going to help you use as

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<v Speaker 1>many of the Facebook tools as possible to know, in

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<v Speaker 1>the end boosting engagement and controversy also is really great

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<v Speaker 1>for for boosting engagement during election time. And you know,

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<v Speaker 1>in all these countries, whether it's Poland or Germany or

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<v Speaker 1>the Philippines, are India, which is essentially, in a lot

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<v Speaker 1>of measures, the biggest market for the company right vernon,

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<v Speaker 1>A lot of people will read this story and think, wow,

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<v Speaker 1>how can Facebook allow this? It basically is helping fuel

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<v Speaker 1>the rise of some misinformation or certainly higherly or more

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<v Speaker 1>highly politicized types of rhetoric. At the same time, Facebook

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<v Speaker 1>isn't doing anything wrong, is it, I mean, is it

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<v Speaker 1>disseminating bad information on purpose? Or you know, some people

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<v Speaker 1>could say, well, it's just doing its job. It's helping

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<v Speaker 1>clients use the platform as well as they possibly can. Yeah,

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<v Speaker 1>I mean, that's a really interesting question because what you

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<v Speaker 1>have is and let's say, a face like a place

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<v Speaker 1>like the Philippines where they came in and they offered

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<v Speaker 1>their services to all the candidates. UM. But there was

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<v Speaker 1>one candidate who really embraced the technology and once he

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<v Speaker 1>was in power, um, Facebook again helped, you know, sort

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<v Speaker 1>of writing the cotails into the presidential palace, so to speak. UM.

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<v Speaker 1>And they started broadcasting through Facebook channels official events and

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<v Speaker 1>in a lot of countries. And we see this in

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<v Speaker 1>India also. The campaign work then becomes this door into

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<v Speaker 1>being part of the power structure in the country. And

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<v Speaker 1>what this is really a contrast to what Mark Zuckerberg

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<v Speaker 1>has said in saying that the company is agnostic politically. Yeah,

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<v Speaker 1>we we're gonna have to leave it. They're fascinating a story.

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<v Speaker 1>Thank you so much for joining us. Vernon Silver Projects

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<v Speaker 1>and Investigations reporter for Bloomberg News. Facebook team helps regimes

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<v Speaker 1>that reach out in cracktown. This is Bluemberg. Will Big

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<v Speaker 1>Tech keep on rallying to the degree that they did

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<v Speaker 1>this year? That is the question and the answer, according

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<v Speaker 1>to John Patritis, is no. He is managing director and

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<v Speaker 1>portfolio manager for Point View Wealth Management in Summit, New Jersey,

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<v Speaker 1>and he joins US now. John, thanks so much for

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<v Speaker 1>being with us. So what's going on here? Why do

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<v Speaker 1>you think that the fang stacks, the Facebook, Amazon, Netflix,

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<v Speaker 1>and Google shares are not going to have such a

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<v Speaker 1>great year next year? Well, thanks for having me on.

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<v Speaker 1>I think that investors love to rally around us store

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<v Speaker 1>worry stock. You know, in the late sixties, early seventies,

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<v Speaker 1>it was the fifty fifty, and the eighties it was

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<v Speaker 1>the Go Go Stox, and then nineties it was dot com. Uh.

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<v Speaker 1>In the early part of the turn of the century,

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<v Speaker 1>it was the brick stocks, you know, the International StockX

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<v Speaker 1>and now you know fangs all our age. I mean,

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<v Speaker 1>is there anything else we've spoken about more this year

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<v Speaker 1>outside of bitcoin than the fang Stox. So I think

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<v Speaker 1>investors have piled into these, uh, these companies, and I

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<v Speaker 1>think valuations are starting to get stretched, and I don't

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<v Speaker 1>think the downside risks are priced into the stocks at all. Well, John,

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<v Speaker 1>I'm looking at you know, their sales annual sales for

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<v Speaker 1>Facebook thirty six and a half billion, and they got

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<v Speaker 1>net income of fifteen billion. You know any other company

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<v Speaker 1>that does that kind of business? Right? Maybe Amazon? How

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<v Speaker 1>about still look at some of the other fangs dots.

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<v Speaker 1>How about Amazon does so the uh no, no, no,

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<v Speaker 1>no no, but Amazon doesn't. I mean you're talking a

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<v Speaker 1>company does thirty six and a half billion in sales

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<v Speaker 1>and puts fifteen of it in their pocket. Said and done, right,

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<v Speaker 1>So let me clarify all five of the FANG stocks

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<v Speaker 1>and if you want to add Microsoft into that as well,

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<v Speaker 1>they don't fit nice into the acronym. But Microsoft has

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<v Speaker 1>boosted the tech sector as well. Are fantastic companies. What

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<v Speaker 1>I'm saying is I think the market is pricing these

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<v Speaker 1>companies that they could do no wrong. And that's where

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<v Speaker 1>investors have to be careful of because every great investment

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<v Speaker 1>is always a function of the price you pay for it.

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<v Speaker 1>So I think Facebook and Google can be under significant

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<v Speaker 1>regulatory pressure in two thousand eighteen. I think the whole

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<v Speaker 1>Russian interference with Facebook is a big red flag. And

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<v Speaker 1>I don't think any political risk or regulatory risk or

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<v Speaker 1>price into those stocks at all. So the companies are fantastic,

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<v Speaker 1>but I think you could see discounts priced into the

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<v Speaker 1>stocks because of regulatory issues. You know, everyone is excited

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<v Speaker 1>about Apple because of the new iPhone, but Apple is

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<v Speaker 1>now a hundred, eight hundred and fifty billion dollar company.

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<v Speaker 1>You know, if you want a dent return on Apple

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<v Speaker 1>from here, you're gonna have a one point six trillion

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<v Speaker 1>dollar company. They have to sell a lot of iPhones

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<v Speaker 1>to do that, right, So you're getting up, but you're

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<v Speaker 1>pushing up against law of large numbers. Some people do

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<v Speaker 1>think that it will be a trillion dollar country company.

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<v Speaker 1>Actually almost said country pretty soon. But but John, you know,

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<v Speaker 1>I want to talk specifically about the regulatory issues you

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<v Speaker 1>pinpointed Amazon and Google in particular. Uh, can you just

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<v Speaker 1>play out what some of those regulatory pressures would look

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<v Speaker 1>like that would cause a stock swoon because we hear

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<v Speaker 1>a lot about it, but I don't hear of any

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<v Speaker 1>regulatory efforts that are currently being discussed in concrete terms

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<v Speaker 1>on the hill, And I'm not sure what would do

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<v Speaker 1>it to these two. So yeah, I think so the

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<v Speaker 1>regular issues I think you for Facebook and Google specifically

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<v Speaker 1>because of the massive amount of data that they have

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<v Speaker 1>on all of their users. And I think the fact

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<v Speaker 1>that it was disposed that Russia was buying uh ads

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<v Speaker 1>on Facebook and using that uh along with it too

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<v Speaker 1>many pilate to a degree the uh the election results

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<v Speaker 1>I think is um uh you know, could within the

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<v Speaker 1>argument can we make within Congress to that as a

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<v Speaker 1>national security issue? So I think that if that's the case,

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<v Speaker 1>what that does is it forces Google and Facebook to

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<v Speaker 1>go back to the drawing board and tighten up UH

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<v Speaker 1>their own practices, which will add to their own to

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<v Speaker 1>their expenses and their costs. So my point behind all

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<v Speaker 1>that is, I don't think that Google and Facebook go

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<v Speaker 1>out of business. All I'm saying is that I think

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<v Speaker 1>their stocks are overvalued at current levels and they're not

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<v Speaker 1>pricing in any potential downside risk, And I think investors

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<v Speaker 1>fall in love with stocks like that. Who's chart what's fantastic?

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<v Speaker 1>If you're looking backward, UH could become a risky place

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<v Speaker 1>in two thousand eighteen, all right, So where is their

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<v Speaker 1>value to be had? So I still like the financials

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<v Speaker 1>despite the fact, again looking backward over the last eighteen months,

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<v Speaker 1>the banks have done a fantastic job from a performance standpoint.

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<v Speaker 1>You nowhere near valuation stamp valuation levels of where we

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<v Speaker 1>were in two thousand five, six seven during the apex

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<v Speaker 1>of the dot com bubble, and the fundamentals of the

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<v Speaker 1>financials are fantastic. Right. Interest rates continue to creep higher.

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<v Speaker 1>You're in a government to a regulatory situation where there's

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<v Speaker 1>deregulation going on. The bank's balance sheets are as healthy

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<v Speaker 1>as they've been so um since World War Two. So

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<v Speaker 1>you know, I still still think there's room to run

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<v Speaker 1>on the financial sector. I also think, you know, the

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<v Speaker 1>selloff and healthcare that we saw in October and September

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<v Speaker 1>and even a little bit in November provides an opportunity

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<v Speaker 1>healthcare insurers, how medical devices, pharmacy. I like big farmer

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<v Speaker 1>um particularly. Uh So if you look at where you know,

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<v Speaker 1>globally again thinking long term, where investors not traders, so

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<v Speaker 1>we're not thinking about next quarter. You know, as the

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<v Speaker 1>global population grows and ages, the utilization of the healthcare

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<v Speaker 1>system was only going to increase. So big farmer companies

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<v Speaker 1>are sitting with a ton of cash um. They have

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<v Speaker 1>the ability to reinvest in their pipeline and or do

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<v Speaker 1>acquisitions to bolster their own pipeline. They usually pay at

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<v Speaker 1>a big dividend and they buyback spots do so I

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<v Speaker 1>think it's a long term story out there that is

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<v Speaker 1>being overly discounted by investors because this fear of regulation

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<v Speaker 1>or drug prices. We're gonna have to leave it there

0:13:13.360 --> 0:13:16.480
<v Speaker 1>but thanks very much for enlightening us. John Patries is

0:13:16.520 --> 0:13:21.000
<v Speaker 1>Managing director portfolio manager for point View Wealth Management. They

0:13:21.000 --> 0:13:24.040
<v Speaker 1>are based in some New Jersey, and he was making

0:13:24.040 --> 0:13:42.400
<v Speaker 1>the bear case for those fang stocks. He watches all

0:13:42.520 --> 0:13:46.560
<v Speaker 1>of the information, whether it's the average private work week,

0:13:46.600 --> 0:13:49.640
<v Speaker 1>whether it's wage growth or even the conference board leading

0:13:49.640 --> 0:13:53.600
<v Speaker 1>indicators which we receive today, but he also follows Christmas trees.

0:13:53.920 --> 0:13:57.320
<v Speaker 1>Phil Orlando is the chief equity market strategist and head

0:13:57.320 --> 0:14:01.080
<v Speaker 1>of client portfolio Management at Federated. He thought you were

0:14:01.160 --> 0:14:02.560
<v Speaker 1>joking when you said we were going to talk about

0:14:02.600 --> 0:14:05.840
<v Speaker 1>Christmas trees. I'm not gonna choking. It's a big business.

0:14:05.920 --> 0:14:08.120
<v Speaker 1>It is a big business. And and thank you for

0:14:08.200 --> 0:14:11.199
<v Speaker 1>having me back on again. Merry Christmas, Happy Honkkah, and

0:14:11.200 --> 0:14:13.839
<v Speaker 1>and let's talk Christmas trees. Then that's my point. I

0:14:13.920 --> 0:14:15.840
<v Speaker 1>wanted to ask you about Christmas trees because I know

0:14:15.880 --> 0:14:18.560
<v Speaker 1>I heard about the shortage, because this has to do

0:14:18.679 --> 0:14:22.200
<v Speaker 1>with the economy in two thousand seven and eight. But

0:14:22.280 --> 0:14:24.600
<v Speaker 1>you've done some work, so let me So. I've got

0:14:24.600 --> 0:14:27.240
<v Speaker 1>to give props to my buddies at ever Core I

0:14:27.440 --> 0:14:29.800
<v Speaker 1>s I. Oscar slaughter Back is the guy that runs

0:14:30.280 --> 0:14:33.120
<v Speaker 1>this regular survey for them for the last fifteen years.

0:14:33.160 --> 0:14:36.160
<v Speaker 1>And the issue. The problem here is that it takes

0:14:36.200 --> 0:14:39.360
<v Speaker 1>about eight to ten years for a seedling to sort

0:14:39.360 --> 0:14:42.080
<v Speaker 1>of grow into a mature tree. But think about ten

0:14:42.160 --> 0:14:44.760
<v Speaker 1>years ago, we were starting, we were growing into the

0:14:44.760 --> 0:14:48.600
<v Speaker 1>Great Recession. So a lot of these smaller independent tree

0:14:48.640 --> 0:14:51.840
<v Speaker 1>farms around the country Canada whatever, they said, we don't

0:14:51.840 --> 0:14:54.640
<v Speaker 1>have the money were we were, we cut back our planning,

0:14:54.720 --> 0:14:57.440
<v Speaker 1>we went out of business. And so now ten years later,

0:14:57.760 --> 0:15:01.400
<v Speaker 1>we've got a shortage of trees. So uh, when I

0:15:01.600 --> 0:15:04.000
<v Speaker 1>s I put out the you know, they do this

0:15:04.080 --> 0:15:07.520
<v Speaker 1>survey over the four weeks of Christmas, the numbers, frankly

0:15:07.520 --> 0:15:09.800
<v Speaker 1>on a year of year basis, didn't look particularly good.

0:15:09.880 --> 0:15:14.120
<v Speaker 1>Yet we've got a very bullish forecast for Christmas. So

0:15:14.240 --> 0:15:16.160
<v Speaker 1>in my mind, I'm trying to say, okay, wait a second,

0:15:16.200 --> 0:15:18.000
<v Speaker 1>one of the key things we look at not working

0:15:18.240 --> 0:15:20.480
<v Speaker 1>yet I think Christmas is gonna be really good. And

0:15:20.520 --> 0:15:23.600
<v Speaker 1>then I sort of stumbled upon this, this this Great

0:15:23.600 --> 0:15:26.640
<v Speaker 1>Recession thing that I think that the shortage of trees

0:15:27.080 --> 0:15:29.560
<v Speaker 1>and the fact that prices have gone up, I think

0:15:29.600 --> 0:15:32.640
<v Speaker 1>people are either doing without or they're they're shifting over

0:15:32.800 --> 0:15:36.600
<v Speaker 1>artificial Now I s I survey doesn't capture artificial sales,

0:15:36.880 --> 0:15:40.360
<v Speaker 1>so we don't know how much of that mix shift occurred.

0:15:40.640 --> 0:15:42.840
<v Speaker 1>So I'm still sticking in my forecast that we're gonna

0:15:42.880 --> 0:15:45.080
<v Speaker 1>have a great Christmas. You know, based upon some of

0:15:45.120 --> 0:15:47.320
<v Speaker 1>the indicators we're looking at, this could be the best

0:15:47.360 --> 0:15:51.280
<v Speaker 1>Christmas since eleven when year of your Christmas sales were

0:15:51.360 --> 0:15:53.880
<v Speaker 1>up like six percent. So we're we're you know, we're

0:15:53.880 --> 0:15:56.640
<v Speaker 1>gonna have I think a pretty good year. Three hundred

0:15:56.720 --> 0:16:01.600
<v Speaker 1>and fifty million real Christmas trees currently growing on Christmas

0:16:01.640 --> 0:16:04.880
<v Speaker 1>tree farms in the US alone, so this isn't a

0:16:04.880 --> 0:16:08.720
<v Speaker 1>tiny business. This is. But again, because it takes about

0:16:08.760 --> 0:16:12.240
<v Speaker 1>ten years that million, you're going to chop down maybe

0:16:12.400 --> 0:16:14.680
<v Speaker 1>thirty million of them in a given year, al right,

0:16:14.720 --> 0:16:16.880
<v Speaker 1>So as people chop down their trees and get ready

0:16:16.880 --> 0:16:20.040
<v Speaker 1>for for the holidays, I'm just wondering. You know, we

0:16:20.120 --> 0:16:22.200
<v Speaker 1>talked to a lot of people. There seems to be

0:16:22.480 --> 0:16:25.560
<v Speaker 1>some consensus forming, not as much as going into going

0:16:25.600 --> 0:16:29.280
<v Speaker 1>into this year, but the consensus seems to be growth

0:16:29.360 --> 0:16:31.680
<v Speaker 1>is pretty good. We're going to get a modest boost

0:16:31.680 --> 0:16:34.400
<v Speaker 1>from the tax plan, not anything to write home about.

0:16:34.720 --> 0:16:38.400
<v Speaker 1>The dollar will remain range bound, possibly go down. Uh,

0:16:38.600 --> 0:16:41.360
<v Speaker 1>Stocks in the US will continue to do well, maybe

0:16:41.360 --> 0:16:43.080
<v Speaker 1>not as well as this year, but we'll continue to

0:16:43.120 --> 0:16:46.040
<v Speaker 1>do well, and bonds might sell off, but it won't

0:16:46.080 --> 0:16:50.320
<v Speaker 1>be a disorderedly unwind. What's wrong about those consensus ideas.

0:16:50.360 --> 0:16:53.000
<v Speaker 1>There's nothing wrong with them. I mean, basically your point

0:16:53.000 --> 0:16:56.119
<v Speaker 1>painting by and large, a goldilocks kind of an environment

0:16:56.640 --> 0:17:00.000
<v Speaker 1>where we think treasure yields will sort of grind up

0:17:00.040 --> 0:17:02.640
<v Speaker 1>to three percent over the next year year and a half,

0:17:03.040 --> 0:17:05.600
<v Speaker 1>stocks will grind up to three thousand over the course

0:17:05.600 --> 0:17:09.840
<v Speaker 1>of the next year or so. Uh GDP growth is

0:17:10.240 --> 0:17:12.000
<v Speaker 1>you know, we've been at a three percent run right

0:17:12.040 --> 0:17:14.360
<v Speaker 1>the last couple of quarters. We've got a three point

0:17:14.440 --> 0:17:17.280
<v Speaker 1>two percent estimate for the fourth quarter, We've got a

0:17:17.280 --> 0:17:19.680
<v Speaker 1>three percent estimate for next year. We're sort of back

0:17:19.720 --> 0:17:23.200
<v Speaker 1>to trendline. It's all good as far as we can tell. Okay,

0:17:23.240 --> 0:17:26.840
<v Speaker 1>So given that backdrop, what do you tell your clients

0:17:26.880 --> 0:17:31.800
<v Speaker 1>with respect to active management, Because this goldilocks scenario is

0:17:31.840 --> 0:17:37.320
<v Speaker 1>great for indexing well, not necessarily, because there are aspects

0:17:37.400 --> 0:17:41.240
<v Speaker 1>of this market that active management will be able to

0:17:41.320 --> 0:17:44.639
<v Speaker 1>do a better job. For example, UM, I'm going to

0:17:44.760 --> 0:17:47.920
<v Speaker 1>disagree with one of the elements of your analysis, which

0:17:48.000 --> 0:17:52.040
<v Speaker 1>was the dollar. If the economy, which was growing at

0:17:52.080 --> 0:17:54.360
<v Speaker 1>one and a half percent last year and is now

0:17:54.400 --> 0:17:57.520
<v Speaker 1>sort of at a three percent run right now, continues

0:17:57.560 --> 0:18:00.359
<v Speaker 1>at that pace, and that's our call, uh, and the

0:18:00.400 --> 0:18:03.919
<v Speaker 1>transition from from yelling at Powell is successful, and and

0:18:04.320 --> 0:18:09.800
<v Speaker 1>the Fed continues to gradually remove accommodation. UH. That combination

0:18:09.840 --> 0:18:13.479
<v Speaker 1>of better economic growth, better corporate earnings growth, UH, tighter

0:18:13.520 --> 0:18:16.119
<v Speaker 1>monetary policy out of the Fed should result in a

0:18:16.160 --> 0:18:19.800
<v Speaker 1>stronger dollar over time. So we went from dollar euro

0:18:19.960 --> 0:18:21.560
<v Speaker 1>I think we were one oh three or so at

0:18:21.600 --> 0:18:24.200
<v Speaker 1>the beginning of the year, topped down at about one two.

0:18:24.880 --> 0:18:28.119
<v Speaker 1>We started to strengthen down about one s eighteen. We

0:18:28.200 --> 0:18:30.719
<v Speaker 1>seem to be temporarily going back the other way. I

0:18:30.760 --> 0:18:33.480
<v Speaker 1>think we're gonna we're gonna catch a bid here, uh,

0:18:33.520 --> 0:18:35.920
<v Speaker 1>and we're gonna get the dollar euro back into that

0:18:36.080 --> 0:18:39.199
<v Speaker 1>you know, one one fifteen neighborhood over the course of

0:18:39.200 --> 0:18:43.920
<v Speaker 1>the next year. In that scenario, small cap stocks UM,

0:18:44.080 --> 0:18:47.680
<v Speaker 1>stronger economic growth, UH, the tax cuts, Remember small cap

0:18:47.720 --> 0:18:51.239
<v Speaker 1>companies pay very high taxes. UH, stronger dollar, So that

0:18:51.280 --> 0:18:55.640
<v Speaker 1>benefits UH more of the domestic oriented smaller cap companies

0:18:55.680 --> 0:18:58.640
<v Speaker 1>as opposed to the international companies. Small cap stocks ought

0:18:58.720 --> 0:19:01.320
<v Speaker 1>to do well in that environment. That's an environment that

0:19:01.440 --> 0:19:05.040
<v Speaker 1>active management really has an advantage in the indexers not

0:19:05.160 --> 0:19:09.560
<v Speaker 1>so much. Also, growth stocks, Remember large cap growth did

0:19:09.640 --> 0:19:12.560
<v Speaker 1>much better than large cap value and the first part

0:19:12.600 --> 0:19:16.080
<v Speaker 1>of the year we've rotated right around Labor Day to

0:19:16.160 --> 0:19:19.920
<v Speaker 1>a value trade. So we think the financials, the energies,

0:19:19.960 --> 0:19:22.600
<v Speaker 1>the industrials, et cetera. Those companies ought to catch a

0:19:22.680 --> 0:19:25.640
<v Speaker 1>bid relative to some of the growth stocks that did

0:19:25.680 --> 0:19:27.439
<v Speaker 1>really well of the first seven or eight months of

0:19:27.440 --> 0:19:30.160
<v Speaker 1>the year. So there are parts of the market that

0:19:30.160 --> 0:19:32.640
<v Speaker 1>that ought to do well here given the environment we've

0:19:32.720 --> 0:19:36.680
<v Speaker 1>laid out that that in our view, should benefit active

0:19:36.720 --> 0:19:40.440
<v Speaker 1>management rather than passive management. Phil, I would imagine you've

0:19:40.480 --> 0:19:42.840
<v Speaker 1>racked up a number of miles this year, traveling all

0:19:42.840 --> 0:19:46.560
<v Speaker 1>over the country talking to various investor groups. Has the

0:19:46.680 --> 0:19:50.399
<v Speaker 1>investor changed in the last decade we've talked about Christmas Trees.

0:19:50.440 --> 0:19:55.560
<v Speaker 1>Has investors mature to the point where they better understand

0:19:55.640 --> 0:19:58.600
<v Speaker 1>the investing environment that you're in today. I thought you

0:19:58.640 --> 0:20:00.000
<v Speaker 1>were going to say that they're gonna be chopped out.

0:20:00.960 --> 0:20:03.639
<v Speaker 1>I don't think so. I travel You're right, I travel

0:20:03.680 --> 0:20:06.119
<v Speaker 1>around the country talking to client groups all over the place,

0:20:06.400 --> 0:20:10.760
<v Speaker 1>and people are still scared to death because they they uh,

0:20:10.800 --> 0:20:14.320
<v Speaker 1>they're they're they're furious with the nonsense that's going on

0:20:14.359 --> 0:20:17.600
<v Speaker 1>in Washington, the stupidity in Washington. I think the single

0:20:17.600 --> 0:20:20.119
<v Speaker 1>biggest mistake a lot of investors have made over the

0:20:20.200 --> 0:20:24.600
<v Speaker 1>last year is allowing their political biases to influence their

0:20:24.640 --> 0:20:27.320
<v Speaker 1>investment judgment. I mean, that's a huge deal. And then

0:20:27.600 --> 0:20:29.800
<v Speaker 1>you know, you flip on the TV and and you've

0:20:29.840 --> 0:20:34.160
<v Speaker 1>got any number of of theoretically credible people saying Trump's

0:20:34.160 --> 0:20:37.920
<v Speaker 1>an idiot, This tax plans a disaster, it's not gonna work. Uh,

0:20:38.080 --> 0:20:40.600
<v Speaker 1>the stock markets are overvalued. You know, we're going to

0:20:40.680 --> 0:20:43.800
<v Speaker 1>hell in a handbasket. The average person doesn't know that

0:20:43.800 --> 0:20:47.080
<v Speaker 1>that's bad information and and that that we're in pretty

0:20:47.080 --> 0:20:49.760
<v Speaker 1>good shape right now. Is Lisa just articulated a moment

0:20:49.800 --> 0:20:53.080
<v Speaker 1>ago beautifully and that we're grinding up towards the three

0:20:53.080 --> 0:20:55.919
<v Speaker 1>thousand SMP over the next year or so, so we

0:20:56.000 --> 0:20:58.479
<v Speaker 1>think you gotta stick with it. That's a tough message

0:20:58.480 --> 0:21:01.000
<v Speaker 1>to get across, phil Or And oh, thank you so

0:21:01.080 --> 0:21:03.879
<v Speaker 1>much for being with us, and good luck with your Christmas.

0:21:03.920 --> 0:21:08.160
<v Speaker 1>Tree Business Analytics and Merry Christmas too, Merry Christmas. Tick

0:21:08.160 --> 0:21:10.720
<v Speaker 1>to Fill Orlando, chief equity markets strategist and head of

0:21:10.800 --> 0:21:16.000
<v Speaker 1>client portfolio management for Federated Investors. We always love having

0:21:16.080 --> 0:21:18.240
<v Speaker 1>him and UH, you know, I never realized that it

0:21:18.320 --> 0:21:19.920
<v Speaker 1>was that big of a business, to be honest, the

0:21:19.920 --> 0:21:35.560
<v Speaker 1>whole Christmas Tree business. UH. Here to help us understand

0:21:35.560 --> 0:21:38.240
<v Speaker 1>a little bit about the risks that perhaps are in

0:21:38.440 --> 0:21:41.800
<v Speaker 1>the financial world is Mike Bodson. He is the chief

0:21:41.840 --> 0:21:46.000
<v Speaker 1>executive of the Depository Trust and Clearing Corporation. Mike, thank

0:21:46.040 --> 0:21:48.360
<v Speaker 1>you very much for being with us. Tell people what

0:21:48.440 --> 0:21:52.000
<v Speaker 1>does the d t c C do and then explain

0:21:52.119 --> 0:21:56.680
<v Speaker 1>what is your systemic risk barometer? Thank you, good morning. UH.

0:21:57.240 --> 0:22:01.240
<v Speaker 1>Dt c C is basically the central counterparty for the

0:22:01.320 --> 0:22:04.600
<v Speaker 1>US cash securities market, and we're also the central securities

0:22:04.720 --> 0:22:08.800
<v Speaker 1>the depository for cast security markets. So in a nutshell,

0:22:08.920 --> 0:22:11.640
<v Speaker 1>we process every cast trade done in the United States,

0:22:11.680 --> 0:22:15.800
<v Speaker 1>every bond, stock, treasury security, mortgage backed security. So we

0:22:15.840 --> 0:22:18.199
<v Speaker 1>do about a hundred million transactions to day. We do

0:22:18.320 --> 0:22:21.880
<v Speaker 1>about one point five quadrillion dollars a year flows through us.

0:22:22.240 --> 0:22:25.960
<v Speaker 1>So we're basically the uh, the processors of all transactions

0:22:25.960 --> 0:22:28.680
<v Speaker 1>in the US markets as well as some other ancillary businesses.

0:22:29.600 --> 0:22:33.560
<v Speaker 1>Our Systemic Risk Barometer is just something we started a

0:22:33.640 --> 0:22:36.800
<v Speaker 1>few years ago where we go out and survey our

0:22:36.840 --> 0:22:41.280
<v Speaker 1>membership primarily US but internationally as well, UH to get

0:22:41.280 --> 0:22:43.320
<v Speaker 1>a gauge of where people are focused on from a

0:22:43.440 --> 0:22:47.120
<v Speaker 1>systemic risk basis, where the leading issues, and from there

0:22:47.160 --> 0:22:50.040
<v Speaker 1>we build the thought leadership pieces. We've done thought leaderships

0:22:50.040 --> 0:22:53.720
<v Speaker 1>on fintech, on cloud, on interconnectedness, risk, and things along

0:22:53.760 --> 0:22:58.959
<v Speaker 1>that deadline. I found it interesting that an emerging worry

0:22:59.160 --> 0:23:01.640
<v Speaker 1>among the people who you spoke with and with respect

0:23:01.720 --> 0:23:06.080
<v Speaker 1>to financial stability with fintech financial technology in particular, it's

0:23:06.160 --> 0:23:11.600
<v Speaker 1>lack of regulation with this idea that advancements have outpaced governance.

0:23:11.840 --> 0:23:15.600
<v Speaker 1>Please explain, Yeah, I think, um, you know, obviously, fintech

0:23:15.720 --> 0:23:18.000
<v Speaker 1>is something that's gotten a lot of focus on in

0:23:18.040 --> 0:23:21.480
<v Speaker 1>the last few years as a disruptive technology and competitive

0:23:21.480 --> 0:23:27.200
<v Speaker 1>force to financial market participants. But as the competitive threat

0:23:27.280 --> 0:23:31.280
<v Speaker 1>and competitive risk has been better understood, I think people

0:23:31.280 --> 0:23:33.560
<v Speaker 1>now are focused on, well, what does it mean to

0:23:33.600 --> 0:23:36.800
<v Speaker 1>the system itself and what type of risk doesn't introduce

0:23:36.920 --> 0:23:40.119
<v Speaker 1>and that will vary from fragmentation and changing the basic

0:23:40.160 --> 0:23:44.000
<v Speaker 1>economic model to things like cyber security, having you know,

0:23:44.119 --> 0:23:47.439
<v Speaker 1>small fintech companies who may not have the rigor UH

0:23:47.480 --> 0:23:50.080
<v Speaker 1>in terms of cyber over their product that you know,

0:23:50.200 --> 0:23:53.240
<v Speaker 1>the more established players may have that could bring obviously

0:23:53.240 --> 0:23:56.440
<v Speaker 1>a major risk if they're connected to the ecosystem. So

0:23:56.720 --> 0:23:58.720
<v Speaker 1>I think, you know, there's a variety of different ways

0:23:58.800 --> 0:24:01.840
<v Speaker 1>to look at it. But I think people have gotten

0:24:01.880 --> 0:24:04.640
<v Speaker 1>comfortable with the thought of fintech can be a real

0:24:04.720 --> 0:24:07.879
<v Speaker 1>positive force and don't want to stop innovation, but they

0:24:07.880 --> 0:24:09.919
<v Speaker 1>don't want to open up the system too unknown or

0:24:10.280 --> 0:24:12.679
<v Speaker 1>anticipated risk that could bring down the entirety of the

0:24:13.320 --> 0:24:16.560
<v Speaker 1>the financial markets. Mike, I'd be remiss if I didn't

0:24:16.640 --> 0:24:20.240
<v Speaker 1>use the word blockchain and just about every conversation, but

0:24:20.400 --> 0:24:25.760
<v Speaker 1>you are using the blockchain system for derivatives processing. Explain this. Sure,

0:24:25.800 --> 0:24:28.600
<v Speaker 1>we have a prototype being built. We hope to go

0:24:28.720 --> 0:24:32.000
<v Speaker 1>live with it UH next year where we're working with

0:24:32.119 --> 0:24:37.399
<v Speaker 1>IBM x only and R three UH to re platform

0:24:37.600 --> 0:24:40.600
<v Speaker 1>a product onto a distributed ledger to TO TO platform or

0:24:40.640 --> 0:24:44.080
<v Speaker 1>something called the trade Information warehouse. It is a central

0:24:44.119 --> 0:24:48.960
<v Speaker 1>repository of information primarily about credit to false swaps UH.

0:24:48.960 --> 0:24:51.840
<v Speaker 1>It's used by regulators to monitor the market. It's used

0:24:51.840 --> 0:24:56.880
<v Speaker 1>by market participants for payments and reconciliation purposes. But it's

0:24:56.920 --> 0:25:00.919
<v Speaker 1>built on mainframe technology. Uh. Give in the nature of

0:25:01.119 --> 0:25:04.800
<v Speaker 1>distributed ledger blockchain uh and its ability to have one

0:25:04.880 --> 0:25:07.320
<v Speaker 1>version of the truth that shared amongst all participants, that

0:25:07.400 --> 0:25:11.199
<v Speaker 1>seem to be a natural uh usage for blockchain. So

0:25:11.280 --> 0:25:14.200
<v Speaker 1>we started this project this year and as I said,

0:25:14.200 --> 0:25:17.400
<v Speaker 1>we hope to roll it out sometime next year. It's

0:25:17.480 --> 0:25:20.720
<v Speaker 1>very exciting to see an actual application on a wide

0:25:21.040 --> 0:25:23.640
<v Speaker 1>scale basis. Uh. We you know, it'll be pretty much

0:25:23.680 --> 0:25:27.040
<v Speaker 1>the first one in the US securities market. Mike, how

0:25:27.080 --> 0:25:30.840
<v Speaker 1>concerned are you about the blockchain or just in general

0:25:31.000 --> 0:25:35.720
<v Speaker 1>about increases in financial technology and frankly a potential issuance

0:25:35.720 --> 0:25:39.600
<v Speaker 1>of digital currency undermining the dt c c S business

0:25:39.640 --> 0:25:42.920
<v Speaker 1>model as a processor. Yeah. You know. Look, and when

0:25:42.920 --> 0:25:48.159
<v Speaker 1>the blockchain first became widely under steward or widely discussed,

0:25:48.880 --> 0:25:50.639
<v Speaker 1>we read a lot about how, you know, all of

0:25:50.640 --> 0:25:53.600
<v Speaker 1>a sudden, we would go to a blockchain based settlement

0:25:53.640 --> 0:25:56.439
<v Speaker 1>system and uh, there will be no need for clearing

0:25:56.440 --> 0:25:58.480
<v Speaker 1>and settlement. Then the biggest clear and settler in the

0:25:58.520 --> 0:26:01.439
<v Speaker 1>world is dtc C and we would disappear, And you know,

0:26:01.480 --> 0:26:03.960
<v Speaker 1>we kind of said, look, our business model will always

0:26:04.000 --> 0:26:07.680
<v Speaker 1>evolve and even using blockchain, there still is a role

0:26:07.720 --> 0:26:10.040
<v Speaker 1>to be played by somebody who's gonna be the central authority.

0:26:10.400 --> 0:26:13.480
<v Speaker 1>They're not gonna be open systems, they'll be closed systems. Uh.

0:26:13.520 --> 0:26:16.080
<v Speaker 1>You still have governance needs and processing needs over things

0:26:16.160 --> 0:26:19.880
<v Speaker 1>like smart contracts and nodes. How do you change uh,

0:26:20.080 --> 0:26:24.800
<v Speaker 1>the programs, etcetera. So you know, we're not immune to competition,

0:26:24.800 --> 0:26:27.280
<v Speaker 1>we're not immune to the world moving on. But rather

0:26:27.320 --> 0:26:29.359
<v Speaker 1>than you know, being scared of it, we've embraced it

0:26:29.400 --> 0:26:31.600
<v Speaker 1>and become where we believe our thought leaders in the space.

0:26:32.080 --> 0:26:34.320
<v Speaker 1>And you know, it'll take a while for blockchain to

0:26:34.440 --> 0:26:36.800
<v Speaker 1>be able to handle the volume as we do. Um.

0:26:36.840 --> 0:26:39.080
<v Speaker 1>You know, one of the things that we manage, as

0:26:39.080 --> 0:26:41.240
<v Speaker 1>I said, we do a hundred million transactions a day

0:26:41.240 --> 0:26:43.960
<v Speaker 1>come in from the stock exchanges, for instance. We net

0:26:43.960 --> 0:26:46.960
<v Speaker 1>that down to three million net movements of securities in cash,

0:26:46.960 --> 0:26:49.080
<v Speaker 1>which is highly efficient and saves a lot of money

0:26:49.119 --> 0:26:52.080
<v Speaker 1>and operational risk. Alston, if you went back to a

0:26:52.119 --> 0:26:54.800
<v Speaker 1>process where a hundred million cash movements would happen to

0:26:55.000 --> 0:26:57.560
<v Speaker 1>every day, that would not be anywhere near as efficient

0:26:57.560 --> 0:26:59.560
<v Speaker 1>and be a lot risk here. So I think as

0:26:59.600 --> 0:27:03.159
<v Speaker 1>the hype has the simmered down and people understand the

0:27:03.200 --> 0:27:06.600
<v Speaker 1>benefits of blockchain, but also the costs. You know, you're

0:27:06.640 --> 0:27:09.200
<v Speaker 1>having much more rational discussions as to you know, how

0:27:09.240 --> 0:27:11.360
<v Speaker 1>does it, how is it going to roll out, how

0:27:11.400 --> 0:27:13.120
<v Speaker 1>is it going to impact the market, and what benefits

0:27:13.119 --> 0:27:16.520
<v Speaker 1>will to bring Mike, we also have heard a lot

0:27:16.640 --> 0:27:21.800
<v Speaker 1>about the cleared derivatives and how essentially cleared derivatives have

0:27:21.880 --> 0:27:24.159
<v Speaker 1>eliminated a lot of the risk to the financial system.

0:27:24.680 --> 0:27:27.600
<v Speaker 1>Did your survey touch on that at all? And have

0:27:27.800 --> 0:27:31.200
<v Speaker 1>risks migrated to the central clearing houses themselves? The survey

0:27:31.200 --> 0:27:33.160
<v Speaker 1>didn't touch on that per se. I mean, I think

0:27:33.200 --> 0:27:36.600
<v Speaker 1>we we looked at things like interconnectedness risk UH and

0:27:36.760 --> 0:27:41.280
<v Speaker 1>failure market participant um. I mean, and the risk hasn't disappeared.

0:27:41.280 --> 0:27:43.800
<v Speaker 1>I mean what happens with a CCP as you're concentrating

0:27:43.840 --> 0:27:46.399
<v Speaker 1>the risk and managing it at a central point. So

0:27:46.480 --> 0:27:48.320
<v Speaker 1>it's not like the risk of disappeared. But it went

0:27:48.400 --> 0:27:51.920
<v Speaker 1>from a very bilateral basis I firm may exposed the

0:27:51.960 --> 0:27:55.399
<v Speaker 1>firm b uh and in some ways very opaid because

0:27:55.400 --> 0:27:59.080
<v Speaker 1>there was not transparency over those positions before two now

0:27:59.240 --> 0:28:02.800
<v Speaker 1>through both the cleared o tcs as well as the

0:28:02.840 --> 0:28:06.280
<v Speaker 1>business we do in terms of a trade repository which

0:28:06.320 --> 0:28:09.280
<v Speaker 1>gathers all the information about these transactions. You know, the

0:28:09.280 --> 0:28:12.600
<v Speaker 1>transparencies increase the concentration, and therefore the central management of

0:28:12.600 --> 0:28:15.159
<v Speaker 1>the risk has increased, and you know, it's made the

0:28:15.160 --> 0:28:17.960
<v Speaker 1>system that much stronger. Mike Bodson, thank you so much

0:28:17.960 --> 0:28:21.879
<v Speaker 1>for joining us a truly fascinating discussion. Mike Bodson, Chief

0:28:21.960 --> 0:28:26.119
<v Speaker 1>Executive Officer of the Depository Trust and Clearing Corp DTCC.

0:28:30.160 --> 0:28:32.720
<v Speaker 1>Thanks for listening to the Bloomberg P and L podcast.

0:28:33.040 --> 0:28:36.959
<v Speaker 1>You can subscribe and listen to interviews at Apple Podcasts, SoundCloud,

0:28:37.080 --> 0:28:40.520
<v Speaker 1>or whatever podcast platform you prefer. I'm pim Fox. I'm

0:28:40.560 --> 0:28:44.560
<v Speaker 1>on Twitter at pim Fox. I'm on Twitter at Lisa Abramo.

0:28:44.680 --> 0:28:47.280
<v Speaker 1>It's one before the podcast. You can always catch us

0:28:47.320 --> 0:28:48.880
<v Speaker 1>worldwide on Bloomberg Radio.