WEBVTT - 2020 Global Outlook, Six Word Market Narratives

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<v Speaker 1>Welcome to the Bloomberg Penl Podcast. I'm Paul swing you,

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<v Speaker 1>along with my co host Lisa Brahma wits. Each day

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<v Speaker 1>we bring you the most noteworthy and useful interviews for

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<v Speaker 1>you and your money, whether at the grocery store or

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<v Speaker 1>the trading floor. Find a Bloomberg Penl podcast on Apple

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<v Speaker 1>podcast or wherever you listen to podcasts, as well as

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<v Speaker 1>at Bloomberg dot com. One big question heading into since

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<v Speaker 1>we are now there has been how much has the

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<v Speaker 1>FED bolstered stock prices and how much will they continue

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<v Speaker 1>to do? So we're so lucky to have tourist in

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<v Speaker 1>stock with US chief economists and managing director at totter

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<v Speaker 1>Bag Securities here in our interactive broker studios, Touristen puts

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<v Speaker 1>out some of the most interesting and provocative charts that

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<v Speaker 1>I get in my inbox. I'm very excited to have

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<v Speaker 1>you on. Let's just first talk about how much you've

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<v Speaker 1>found that the FED stimulus last year actually bolstered stock valuations.

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<v Speaker 1>So what we try to do was to ask the question,

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<v Speaker 1>when the fit basically expands that balance sheet, there various

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<v Speaker 1>reasons why banishing could go up, and we can discuss

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<v Speaker 1>for a long time, whether it's called qui or not.

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<v Speaker 1>But the bottom line is when the Fed expanses balance sheet,

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<v Speaker 1>then you can measure that on a weekly basis when

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<v Speaker 1>the balance sheet data comes out, and then you can

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<v Speaker 1>try to ask the question, let's try to go back

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<v Speaker 1>since October when they started expanding the balance sheet and

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<v Speaker 1>say for every one percent that the balance sheet expanded,

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<v Speaker 1>how much did the stock market go up or down?

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<v Speaker 1>And what we found in our very simple scatter diagram

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<v Speaker 1>is that for every one percent increase in the fifth

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<v Speaker 1>balance sheet, this in p. Five hundred has actually gone

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<v Speaker 1>up by roughly one percent. Also, so in that sense,

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<v Speaker 1>fit banasheat expansion has at least been correlated with the

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<v Speaker 1>increase in the stock marget that we have seen since October.

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<v Speaker 1>Now you can ask, looking ahead, of course, if this

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<v Speaker 1>will continue, if the fIF balant sheat expansion is continuing,

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<v Speaker 1>but at least for now, that has been a very

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<v Speaker 1>tight relationship for the last several months. Has the FEDS

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<v Speaker 1>activity as it relates to the balance sheet and growing

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<v Speaker 1>its balance sheet? How unusual is that? You know? Kind

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<v Speaker 1>of activity? Is it something that we should consider for

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<v Speaker 1>so a very important part of that question is that Traditionally,

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<v Speaker 1>when the fit has done que or quantity V saying

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<v Speaker 1>they've been buying the long end of the yield curve

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<v Speaker 1>with the whole intention of trying to lower long term

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<v Speaker 1>interst rates. What's really unusual about what they're doing today

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<v Speaker 1>is that they're buying T bills, meaning the short end

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<v Speaker 1>of the yeld curve, And therefore we're getting a lot

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<v Speaker 1>of questions from clients about, well, why should that be

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<v Speaker 1>helping the stock market. It makes sense that when you

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<v Speaker 1>shift long bunds that you could begin to buy long

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<v Speaker 1>duration assets. But if you buy a T bill, why

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<v Speaker 1>would that be substituted with the S and P. That's

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<v Speaker 1>probably not many who on their own just substitute directly

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<v Speaker 1>a four week th bill with a long term asses

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<v Speaker 1>by S and P five. But remember money is much fungible,

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<v Speaker 1>so in that sense, if there is a portfolio induced

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<v Speaker 1>re balancing, you could easily to see that someone at

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<v Speaker 1>the end of a long process would end up allocating

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<v Speaker 1>more money to risky assets. Therefore, this in the long

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<v Speaker 1>answer to a question Paul, is that I still think

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<v Speaker 1>that as we look into this year, the more the

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<v Speaker 1>fat penalty is going to expand, it will be still

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<v Speaker 1>something that provides support to the stock market. So that's

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<v Speaker 1>fantastic perspective as to what potentially could drive stock gains

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<v Speaker 1>further in te thing that I love about your research

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<v Speaker 1>is you take a more holistic approach, not just stock valuations,

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<v Speaker 1>diving deeper into the economy. And one thing that you've

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<v Speaker 1>highlighted increasingly is that there is a whole swath of

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<v Speaker 1>Americans that have been left behind in the rally, whether

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<v Speaker 1>it comes whether whether it comes to income gains, whether

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<v Speaker 1>it comes to spending more than their bringing in every month,

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<v Speaker 1>whether it comes to healthcare costs. Can you give us

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<v Speaker 1>a sense of just your overarching thesis when it comes

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<v Speaker 1>to the widening gap and what that could potentially do

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<v Speaker 1>economically and frankly as as surprise wise, absolutely, we think

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<v Speaker 1>a very important issue going into two thousand twenty, and

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<v Speaker 1>of course, particularly with the election in November, continues to

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<v Speaker 1>be inequality in all dimensions. The way we look at

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<v Speaker 1>it is that there are four different dimensions to an equality.

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<v Speaker 1>There's income inequality, there's wealth inequality, but there also two

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<v Speaker 1>other very important dimensions that are often ignored, namely health inequality.

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<v Speaker 1>Different people have different access to healthcare and finally education

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<v Speaker 1>in equality, that education has become very expensive, which also

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<v Speaker 1>means that different people have different access And if look

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<v Speaker 1>at these different dimensions, it is basically things that are

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<v Speaker 1>dominating the political conversations. So we're trying to think about

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<v Speaker 1>and trying to figure out, as hard as it is,

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<v Speaker 1>should we just ignore this and say, hey, I just

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<v Speaker 1>look at the stock market, this is what I do.

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<v Speaker 1>Or should we say, well, these are actually now indicators

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<v Speaker 1>and data points that have become so important in the

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<v Speaker 1>conversation politically that maybe we need to take into account.

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<v Speaker 1>How should I think about as an investor? Should I

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<v Speaker 1>take it into account and see this could apply something

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<v Speaker 1>in terms of policy changes on education, healthcare, student loans, taxes.

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<v Speaker 1>There's a lot of time mentions that become very important

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<v Speaker 1>for the overall business environment and therefore also for the

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<v Speaker 1>out there, for the stock market, and ultimately also for

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<v Speaker 1>the fit and rates. So in short, this agenda is

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<v Speaker 1>very confusing and fluffy in the sense of there's a

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<v Speaker 1>lot of arm waving around a lot of these data points,

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<v Speaker 1>but it still turns out in almost all our conversations

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<v Speaker 1>to be at the end of the day, a very

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<v Speaker 1>very critical input to how will markets actually do as

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<v Speaker 1>we sit here on the first days of two thousand twenty,

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<v Speaker 1>do you think some of those inequalities that you identified

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<v Speaker 1>have had an economic impact in the US? Has it

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<v Speaker 1>impacted g d P? There's a lot of folks, a

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<v Speaker 1>lot of economists are saying we're gonna be slower growth

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<v Speaker 1>for a longer, you know, kind of two percent GDP.

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<v Speaker 1>Do you think one of the contributors of that could

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<v Speaker 1>be some of these inequalities were seeing. Absolutely, we do

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<v Speaker 1>think that a very important reason why this expansion was

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<v Speaker 1>so weak for the last ten years was probably that

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<v Speaker 1>the main boost from policy makers. Remember policy in two

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<v Speaker 1>thousand nine and ten basically responded less with fiscal policy

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<v Speaker 1>and mold with monetary policy. And what did mind story

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<v Speaker 1>opposed to do. It lifted stock prices and home prices.

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<v Speaker 1>Who benefits on that people who own stocks, people who

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<v Speaker 1>own homes. And because there were fewer people who own homes,

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<v Speaker 1>the home ownership rate was going down. Fewer people owning stocks.

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<v Speaker 1>That meant that the benefits in this expansion were concentrated

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<v Speaker 1>on a fewer hands. So in that sense, the benefits

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<v Speaker 1>of highest stock price and high home prices were basically

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<v Speaker 1>more concentrated in a smaller group of the population. That

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<v Speaker 1>meant that the impact on consumer spending, the wealth effect,

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<v Speaker 1>the impact overall on the economy turned out to be

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<v Speaker 1>driven a lot by asset prices going up in some

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<v Speaker 1>sexes and some people benefiting, but a significant part of

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<v Speaker 1>the population not efiting. So we do believe that one

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<v Speaker 1>critical reason why these expanion has been so weak is

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<v Speaker 1>because of inequality that has continued to widen Torsen's law.

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<v Speaker 1>Thank you so much for joining us. We really appreciate

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<v Speaker 1>you coming into our Bloomberg Interactive Broker studio. Torsen's and

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<v Speaker 1>chief economist at Deutsche Bank Securities hockey stick growth. That

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<v Speaker 1>is what people are expecting for the first quarter of

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<v Speaker 1>the first half of joining us here in our interactive

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<v Speaker 1>broker studios. Nick Cholis, co founder of Data Track Research,

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<v Speaker 1>and I want to talk about the consensus idea that

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<v Speaker 1>we have here, which is that the first half of

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<v Speaker 1>the year will be frontloaded in terms of gains in

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<v Speaker 1>the SMP and beyond as companies report earnings that are

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<v Speaker 1>solid and show study growth in the U S economy.

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<v Speaker 1>Do you agree with that consensus call. I think it's

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<v Speaker 1>a bit tough and I'll tell you why. If you

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<v Speaker 1>look at the first half of last year, you saw

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<v Speaker 1>that SMP five companies registered revenue growth of five percent

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<v Speaker 1>in Q one and four percent in Q two, and

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<v Speaker 1>that's trailed off to three and then two percent what

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<v Speaker 1>we're expecting for the fourth quarter. And those are tough

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<v Speaker 1>comps because the U. S economy and global economy is

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<v Speaker 1>still growing only fairly slowly. And even though the effect

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<v Speaker 1>of FED rate cuts and perhaps the trade US UM

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<v Speaker 1>trade war settlements will spur business spending, it'll be in

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<v Speaker 1>the back half of the year. So I'm not as

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<v Speaker 1>optimistic that we'll see those really healthy comps in Q

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<v Speaker 1>one and Q two. So Nick, I'm looking at your research,

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<v Speaker 1>and I love your your theme here, six word market narratives.

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<v Speaker 1>Give us your six word market narratives for nineteen and

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<v Speaker 1>maybe how we should think about You know, the six

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<v Speaker 1>word narrative is an exercise to try to just to

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<v Speaker 1>steal down what happened in twenty nineteen, then what could

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<v Speaker 1>happen this year. The summary of it was that eighteen

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<v Speaker 1>was a year of a huge policy mistake. The FED

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<v Speaker 1>thought that neutral rates were much higher than they were.

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<v Speaker 1>You know, if J don't touch that. Dial's kind of

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<v Speaker 1>the six word market narrative in we had a reversal

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<v Speaker 1>of that. Basically, the FED came out on January four,

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<v Speaker 1>apologize for getting it wrong, and spent the rest of

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<v Speaker 1>the year cutting So it was okay, we know, you're sorry,

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<v Speaker 1>it's okay. Is going to be this issue of look,

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<v Speaker 1>there's a hundred different ways to cut this market and

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<v Speaker 1>say you shouldn't be involved. Valuations are very high. Corporate

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<v Speaker 1>that's very high. We talked about the earnings cops, all

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<v Speaker 1>very real issues. But at the same time, we still

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<v Speaker 1>have the flow through of these policy makers, both at

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<v Speaker 1>the FED now saying they're not going to raise rates

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<v Speaker 1>and in the White House saying, you know what, the

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<v Speaker 1>trade war probably should be over because President Trump wants

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<v Speaker 1>to get reelected. And it's a flow through of those

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<v Speaker 1>two narratives that says this year might be okay. All right,

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<v Speaker 1>let's talk about where it's going to be most okay.

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<v Speaker 1>I was looking at the City Economic Surprise Index for

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<v Speaker 1>both the US and Europe this morning. In the US

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<v Speaker 1>it's going down and it is negative. In Europe, it's

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<v Speaker 1>the highest level UH since February, basically meaning that the

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<v Speaker 1>economic data coming out was beating expectations by the most

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<v Speaker 1>since then, do you agree that this sort of supports

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<v Speaker 1>the narrative that Europe will perform the US at an

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<v Speaker 1>economic basis on a relative basis, meaning they're going to

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<v Speaker 1>grow a little faster on a quarter of a quarters

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<v Speaker 1>quantial basis. Absolutely. The issue with Europe as a stock

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<v Speaker 1>market is it's so little exposed to technology. The IFA

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<v Speaker 1>index is only seven percent technology, and that includes Japan obviously,

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<v Speaker 1>but developed non US US. Here we're tech between tech, Amazon, Google,

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<v Speaker 1>and Facebook. So you really have to make a very

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<v Speaker 1>big bet on financials, which is fine. European financial has

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<v Speaker 1>done really well in the fourth quarter and should continue

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<v Speaker 1>to do well as bodon rates continue to rise. So

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<v Speaker 1>it's a good story. It's just not the same kind

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<v Speaker 1>of story as the US market. I still like the

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<v Speaker 1>US market better, but it's for that tech exposure. So

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<v Speaker 1>typically after a very strong year like we had in

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<v Speaker 1>in the SMP, what is your research show to what

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<v Speaker 1>the markets tend to do in the year after. Well,

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<v Speaker 1>here's the good news, let's star. The good news is.

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<v Speaker 1>The good news is you don't see markets puke the

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<v Speaker 1>next year. The market is pretty efficient and it tends

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<v Speaker 1>to see through. The only time we had a really

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<v Speaker 1>bad sequential year after a bat after a great year

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<v Speaker 1>was thirty seven. Uh yeah, nineteen thirty seven market was

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<v Speaker 1>down thirty eight percent thirty eight um and then but

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<v Speaker 1>on average you do about ten percent. Is a short

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<v Speaker 1>answer to your question. You know do as well as

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<v Speaker 1>average because there is a little bit of pull forward,

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<v Speaker 1>but you tend to have another good year. The problem

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<v Speaker 1>is the wind rates not as good on average S

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<v Speaker 1>ANDP win rate since night against these years, it's more

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<v Speaker 1>like sixt so a little bit closer to a coin toss.

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<v Speaker 1>We had tour sence lock On earlier from Deutsche Bank

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<v Speaker 1>and he was talking about something that you mentioned, the

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<v Speaker 1>FED support of markets, and talking about the correlation between

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<v Speaker 1>the increase in the Fed's balance sheet and increases in

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<v Speaker 1>the SMP five hundred. Granted it's not a long time

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<v Speaker 1>time set. Do you, though, believe that the expansion of

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<v Speaker 1>the balance sheet, call it whatever you will, perhaps don't

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<v Speaker 1>use quantitivities because it is controversial. Do you think that

0:11:03.720 --> 0:11:06.240
<v Speaker 1>that is supporting a rally much more than some people

0:11:06.320 --> 0:11:10.480
<v Speaker 1>are allowing. I think it is absolutely helpful. It does

0:11:10.559 --> 0:11:13.480
<v Speaker 1>show that the FED put and we all hate that phrase,

0:11:13.559 --> 0:11:16.400
<v Speaker 1>but it's real. The FED put applies to a whole

0:11:16.520 --> 0:11:18.960
<v Speaker 1>range of things, including things like the repo market, and

0:11:19.000 --> 0:11:20.839
<v Speaker 1>they want to make sure that the system can use

0:11:20.920 --> 0:11:23.280
<v Speaker 1>to work as it should. So I think it's a

0:11:23.320 --> 0:11:25.840
<v Speaker 1>comforting notion. I don't know how much it directly affects

0:11:25.840 --> 0:11:28.439
<v Speaker 1>stock prices, but let's put it this way. It helps

0:11:28.440 --> 0:11:31.400
<v Speaker 1>more than it hurts. So again, are you in the

0:11:31.480 --> 0:11:34.560
<v Speaker 1>camp that like I? This is where at least And

0:11:34.559 --> 0:11:36.720
<v Speaker 1>I had a little bit bund of contention before the holidays.

0:11:36.760 --> 0:11:40.080
<v Speaker 1>I said, if the data was to come in, you know,

0:11:40.240 --> 0:11:43.160
<v Speaker 1>strong economic data, that is there a scenario where the

0:11:43.160 --> 0:11:46.000
<v Speaker 1>FED could hike raise And she quote unquote rejected that.

0:11:46.880 --> 0:11:49.559
<v Speaker 1>She rejected that assertion. Is there any scenario where in

0:11:49.600 --> 0:11:52.240
<v Speaker 1>an election year the FED would even consider if the

0:11:52.320 --> 0:11:54.760
<v Speaker 1>data lead them there to be raised rates? Absolutely? No.

0:11:55.720 --> 0:11:57.800
<v Speaker 1>It doesn't feel like if I'll tell you why, we do.

0:11:57.960 --> 0:11:59.839
<v Speaker 1>Every time we see a new set of dot plots

0:11:59.840 --> 0:12:01.760
<v Speaker 1>from the FED would do a standard deviation of all

0:12:01.760 --> 0:12:05.360
<v Speaker 1>them participants and look at how certain they are about

0:12:05.400 --> 0:12:09.600
<v Speaker 1>their future expectations. The FED is more certain now, right

0:12:09.600 --> 0:12:13.000
<v Speaker 1>now about than it has ever been since the dot

0:12:13.000 --> 0:12:16.680
<v Speaker 1>plots started for a future year. They are signaling very

0:12:16.760 --> 0:12:19.640
<v Speaker 1>strongly that they are not going to raise rates. It's

0:12:19.720 --> 0:12:21.920
<v Speaker 1>really unusual. Standard deviation is like a third of what

0:12:22.000 --> 0:12:24.400
<v Speaker 1>it usually is from an end of year forward year. Look,

0:12:25.840 --> 0:12:29.960
<v Speaker 1>that sounds like a rejection. He didn't reject lightly helitely

0:12:30.040 --> 0:12:33.400
<v Speaker 1>rejected your assertion. I I very impolitely rejected your just

0:12:33.520 --> 0:12:36.280
<v Speaker 1>we just follow the numbers. Yeah, right, I just reject

0:12:36.280 --> 0:12:38.120
<v Speaker 1>things out right. I do think when you say, Jay,

0:12:38.120 --> 0:12:40.040
<v Speaker 1>don't touch that dial, the idea that they will be

0:12:40.080 --> 0:12:43.240
<v Speaker 1>on hold at best, uh, you know, at worst, if

0:12:43.240 --> 0:12:47.360
<v Speaker 1>things do deteriorate, they will cut rates and support the

0:12:47.440 --> 0:12:50.360
<v Speaker 1>economic and asset price expansion. One thing I noticed is

0:12:50.400 --> 0:12:52.760
<v Speaker 1>that you came in with a prop today. Yes, the

0:12:52.800 --> 0:12:54.760
<v Speaker 1>prop has to do with the fact that a hundred

0:12:54.880 --> 0:12:58.480
<v Speaker 1>years ago today was the liftoff point for radio as

0:12:58.520 --> 0:13:03.400
<v Speaker 1>a medium. The first broadcast news was Warren Harding winning

0:13:03.400 --> 0:13:05.800
<v Speaker 1>the nineteen twenty election, and it was really what spurred

0:13:05.920 --> 0:13:09.679
<v Speaker 1>radio into popular use. You know, the at the being

0:13:09.720 --> 0:13:11.800
<v Speaker 1>in eighteen twenties, one percent of the population I had

0:13:11.840 --> 0:13:15.920
<v Speaker 1>a radio. By nineteen thirty, it was closer. He has this, uh,

0:13:16.280 --> 0:13:21.400
<v Speaker 1>the wireless age issue from April nineteen twenty two, Uh,

0:13:21.520 --> 0:13:27.120
<v Speaker 1>it's got wow. It was Amazon eBay five five bucks

0:13:27.160 --> 0:13:30.240
<v Speaker 1>on eBay. Wireless Age was the hobbyist magazine of the

0:13:30.360 --> 0:13:33.600
<v Speaker 1>radio age in the nineteen twenties. Uh, and it looks

0:13:33.640 --> 0:13:36.840
<v Speaker 1>exactly like a computer nerd magazine from the nineteen eighties

0:13:36.840 --> 0:13:39.240
<v Speaker 1>and nineties. It was really you know, the industry was

0:13:39.280 --> 0:13:42.600
<v Speaker 1>built by enthusiasts and only slowly commercialized. It's funny. We're

0:13:42.600 --> 0:13:44.920
<v Speaker 1>just talking to Justin Fox of Bloomer talking about the

0:13:44.960 --> 0:13:48.360
<v Speaker 1>evolution of media, and primarily from a news perspective, about

0:13:48.400 --> 0:13:50.720
<v Speaker 1>the obviously the decline in the local newspaper and local

0:13:50.760 --> 0:13:54.439
<v Speaker 1>media and how that may be contributing to the polarization

0:13:54.440 --> 0:13:56.760
<v Speaker 1>of the US and you know the left and the right,

0:13:56.800 --> 0:13:59.680
<v Speaker 1>and how cable television and you know, talk shows and

0:13:59.679 --> 0:14:01.920
<v Speaker 1>so on and so forth may have contributed to that.

0:14:02.040 --> 0:14:04.600
<v Speaker 1>So it kind of brings into context the one hundred

0:14:04.720 --> 0:14:07.160
<v Speaker 1>years of it and it all started with radio, and

0:14:07.160 --> 0:14:09.719
<v Speaker 1>it all started with radio. And yes, and here we are,

0:14:09.840 --> 0:14:12.800
<v Speaker 1>and here we are continuing to beat that drum exactly.

0:14:12.840 --> 0:14:15.320
<v Speaker 1>Thank you so much for going with us. Nick Nichole's

0:14:15.360 --> 0:14:17.840
<v Speaker 1>co founder Data Track Research, joining us here on our

0:14:17.880 --> 0:14:21.240
<v Speaker 1>Bloomberg Interactive Broker Studio giving us lots of perspective on

0:14:21.280 --> 0:14:27.840
<v Speaker 1>the markets coming from the disappointment extraordinary performance. The question

0:14:27.920 --> 0:14:31.160
<v Speaker 1>is what does what do the markets hold in store

0:14:31.280 --> 0:14:50.560
<v Speaker 1>for us? With a launch of Disney Plus in November

0:14:50.640 --> 0:14:53.640
<v Speaker 1>of last year, many expect to be the year that

0:14:53.680 --> 0:14:56.360
<v Speaker 1>the streaming wars really heat up. To get a sense

0:14:56.440 --> 0:14:57.880
<v Speaker 1>kind of where we are here in the early days,

0:14:57.920 --> 0:15:00.760
<v Speaker 1>we welcome Roman Crossing, He's said, of data analytics at

0:15:00.760 --> 0:15:04.720
<v Speaker 1>Eagle Alpha, joins us on the phone from Dublin, Ireland. Ronan,

0:15:04.720 --> 0:15:07.320
<v Speaker 1>thanks so much for joining us. It seems like, you know,

0:15:07.360 --> 0:15:09.560
<v Speaker 1>as we entered twenty nineteen, it was all pretty much

0:15:09.840 --> 0:15:13.200
<v Speaker 1>a Netflix story. But it's getting pretty competitive out there,

0:15:13.200 --> 0:15:16.640
<v Speaker 1>isn't it. It is absolutely yeah, no, it is getting

0:15:16.680 --> 0:15:20.160
<v Speaker 1>more competitive. But what we're actually seeing is that with

0:15:20.280 --> 0:15:22.400
<v Speaker 1>the launch of Disney Plus, what we've actually seen is

0:15:22.480 --> 0:15:26.320
<v Speaker 1>Disney Plus have grown the market um like we around

0:15:26.320 --> 0:15:30.160
<v Speaker 1>the time of the Netflix they're disappointing Q two earnings

0:15:30.240 --> 0:15:34.440
<v Speaker 1>last year, we started tracking Netflix using social media data,

0:15:34.480 --> 0:15:37.960
<v Speaker 1>particularly from Twitter, and what we noticed was that Netflix

0:15:38.040 --> 0:15:40.880
<v Speaker 1>was continuing to gain momentum and was continuing to get

0:15:40.880 --> 0:15:43.920
<v Speaker 1>stronger and stronger. Then around the time of the Disney

0:15:43.920 --> 0:15:46.960
<v Speaker 1>Plus launch, in November, we saw that actually that grew

0:15:47.040 --> 0:15:50.800
<v Speaker 1>the market, and Netflix continued to grow as Disney Plus did,

0:15:51.360 --> 0:15:54.120
<v Speaker 1>and so we're seeing, actually, it's it's not necessarily a

0:15:54.200 --> 0:15:57.640
<v Speaker 1>zero sum game. The market continues to grow overall. All Right,

0:15:57.680 --> 0:16:00.000
<v Speaker 1>This is a really interesting take because I think Netflix

0:16:00.120 --> 0:16:02.040
<v Speaker 1>x is one of the most compelling companies to watch

0:16:02.040 --> 0:16:06.320
<v Speaker 1>in because of Disney Plus, because of this consensus that

0:16:06.400 --> 0:16:09.720
<v Speaker 1>there can only be so many streaming services. What do

0:16:09.760 --> 0:16:12.480
<v Speaker 1>you think will drive their profitability the fact that they

0:16:12.560 --> 0:16:14.560
<v Speaker 1>might not just burn through cash. Is it going to

0:16:14.680 --> 0:16:17.960
<v Speaker 1>be uh, charging subscribers more, Is it going to be

0:16:18.000 --> 0:16:20.240
<v Speaker 1>expanding their subscriber base, or is it going to be

0:16:20.280 --> 0:16:25.040
<v Speaker 1>monetizing things like advertising or data streams? Well, I think

0:16:25.200 --> 0:16:27.360
<v Speaker 1>it always comes back to the content, right, and the

0:16:27.440 --> 0:16:30.160
<v Speaker 1>Netflix has consistently invested in their content, and we actually

0:16:30.200 --> 0:16:34.400
<v Speaker 1>saw that as we track the conversation online, it's the

0:16:34.440 --> 0:16:38.040
<v Speaker 1>top shows that are continuing to gain momentum. And actually,

0:16:38.080 --> 0:16:41.120
<v Speaker 1>what we saw in twenty eighteen was that there was

0:16:41.400 --> 0:16:44.080
<v Speaker 1>somewhat of a depth of news shows coming on that

0:16:44.120 --> 0:16:48.000
<v Speaker 1>we weren't seeing the same appetite and enthusiasm on one

0:16:48.080 --> 0:16:50.960
<v Speaker 1>on on online for those those shows at Netflix. But

0:16:50.960 --> 0:16:54.240
<v Speaker 1>actually nineteen. It feels like they got it right, particularly

0:16:54.240 --> 0:16:56.840
<v Speaker 1>towards the second half of the year, and so we

0:16:56.880 --> 0:17:02.240
<v Speaker 1>think they did take the higher subscription um Earlier last year,

0:17:02.280 --> 0:17:05.320
<v Speaker 1>they increased their subscription prices, and we think that that,

0:17:05.520 --> 0:17:08.480
<v Speaker 1>combined with the weaker content of teen was probably what

0:17:08.640 --> 0:17:11.760
<v Speaker 1>led to those leaker, weaker numbers in Q two. But

0:17:11.880 --> 0:17:13.960
<v Speaker 1>actually the content has got much stronger and we think

0:17:14.000 --> 0:17:16.800
<v Speaker 1>we can can absorb that pricing, and we we were

0:17:16.800 --> 0:17:19.240
<v Speaker 1>seeing that in terms of the momentum coming out of

0:17:19.240 --> 0:17:23.399
<v Speaker 1>the year. So running as you monitor and analyze social media,

0:17:24.280 --> 0:17:26.439
<v Speaker 1>you know, commentary as it relates to some of these

0:17:26.480 --> 0:17:28.720
<v Speaker 1>streaming companies, are you hearing anything about some of the

0:17:28.760 --> 0:17:30.560
<v Speaker 1>others out there? What are you hearing about some of

0:17:30.600 --> 0:17:33.879
<v Speaker 1>the others, whether it's a an existing streaming thing, a

0:17:33.920 --> 0:17:36.960
<v Speaker 1>brand like Hulu or something new like the you know,

0:17:37.119 --> 0:17:39.639
<v Speaker 1>HBO max is coming out, and then I think Comcast

0:17:39.720 --> 0:17:43.040
<v Speaker 1>has uh coming out with Peacock. Are you are they

0:17:43.200 --> 0:17:46.080
<v Speaker 1>registering at all on social media right now? Yeah, so

0:17:46.080 --> 0:17:48.160
<v Speaker 1>so no, it's a it's a great question, Paul. So

0:17:48.600 --> 0:17:52.320
<v Speaker 1>what we're seeing is not with Disney Plus was definitely

0:17:52.800 --> 0:17:56.080
<v Speaker 1>a breakthrough compared to see Apple TV Plus and what

0:17:56.119 --> 0:17:59.960
<v Speaker 1>we've seen is that, yes, Netflix has continued to perform well,

0:18:00.119 --> 0:18:03.240
<v Speaker 1>but Disney Plus is really showing strong momentum and has

0:18:03.280 --> 0:18:05.840
<v Speaker 1>gone straight in there at number two if you like,

0:18:06.720 --> 0:18:11.320
<v Speaker 1>within the streaming streaming universe, whereas we see someone like

0:18:11.400 --> 0:18:15.760
<v Speaker 1>Hulu and Roku are continuing continuing to to to tread

0:18:15.800 --> 0:18:18.400
<v Speaker 1>at a similar level, whereas Apple TV plus come out

0:18:18.400 --> 0:18:20.520
<v Speaker 1>and come in at a much lower level. So we

0:18:20.600 --> 0:18:24.520
<v Speaker 1>see certainly we see Disney or Netflix at number one,

0:18:24.560 --> 0:18:27.280
<v Speaker 1>but Disney Plus is doing really well and that continued

0:18:27.320 --> 0:18:30.560
<v Speaker 1>into the holiday season. We're seeing the Mandalorian in particular

0:18:30.600 --> 0:18:34.359
<v Speaker 1>has has proven to be particular, particularly popular. All the

0:18:34.400 --> 0:18:36.960
<v Speaker 1>people say that the real game changer will be live

0:18:37.040 --> 0:18:41.440
<v Speaker 1>sports and whether the cable networks will lose live sports

0:18:41.480 --> 0:18:45.720
<v Speaker 1>streaming to some of these services. Do you foresee that

0:18:45.960 --> 0:18:50.359
<v Speaker 1>being a significant game changer that potentially creates losers and

0:18:50.359 --> 0:18:55.359
<v Speaker 1>winners the results in either insolvencies or mergers. Yes, So

0:18:55.600 --> 0:18:58.719
<v Speaker 1>so as a firm, Eagle also we look right across

0:18:58.760 --> 0:19:01.080
<v Speaker 1>the alternative data spectrum. So we've talked a lot about

0:19:01.080 --> 0:19:05.360
<v Speaker 1>the Twitter social media analysis, but as a firm, we're

0:19:05.359 --> 0:19:07.480
<v Speaker 1>looking at many more data sets out there, and I

0:19:07.520 --> 0:19:10.840
<v Speaker 1>think they will be really crivotal in analyzing this trend,

0:19:10.880 --> 0:19:15.040
<v Speaker 1>because you're absolutely right, this is a very fluid market

0:19:15.320 --> 0:19:16.720
<v Speaker 1>and I think we're going to have to you know,

0:19:16.720 --> 0:19:18.920
<v Speaker 1>we're gonna have to monitor that date over time. Live

0:19:19.000 --> 0:19:23.119
<v Speaker 1>sports is absolutely a hot topic. We're seeing it in

0:19:23.240 --> 0:19:26.760
<v Speaker 1>terms of online conversation and there's definitely the appetite for

0:19:27.640 --> 0:19:32.119
<v Speaker 1>more live live sports via the streaming platforms, and I

0:19:32.160 --> 0:19:34.800
<v Speaker 1>think that it's something we're gonna have to monitor very closely,

0:19:34.800 --> 0:19:37.280
<v Speaker 1>and we will be monitoring very closely. Ronan, thank you

0:19:37.320 --> 0:19:39.640
<v Speaker 1>so much for being with us. Ronan Crossing, the head

0:19:39.640 --> 0:19:43.280
<v Speaker 1>of data analytics with Eagle Alpha, joining us on the

0:19:43.280 --> 0:19:46.960
<v Speaker 1>phone from Dublin, Ireland, talking about what I think will

0:19:47.000 --> 0:19:50.159
<v Speaker 1>be one of the most fascinating fields in which is

0:19:50.160 --> 0:20:07.440
<v Speaker 1>the streaming Paul. I love it when we talk about

0:20:07.480 --> 0:20:10.520
<v Speaker 1>cybersecurity because it's always some iteration of why we should

0:20:10.520 --> 0:20:12.600
<v Speaker 1>all be really scared and we're about to deal with

0:20:12.720 --> 0:20:17.320
<v Speaker 1>something really tragic and and regret regretful based on the

0:20:17.359 --> 0:20:19.360
<v Speaker 1>excess of our data out there in the mainstream. Joining

0:20:19.400 --> 0:20:21.640
<v Speaker 1>us now to talk about that. Steve Grogman, he's chief

0:20:21.640 --> 0:20:25.960
<v Speaker 1>technology officer at McAfee, joining us on the phone from Dallas.

0:20:26.200 --> 0:20:27.560
<v Speaker 1>I want to get your son, Steve. So when we

0:20:27.560 --> 0:20:29.800
<v Speaker 1>talk about why we should get scared with respect to

0:20:29.840 --> 0:20:32.200
<v Speaker 1>all of the cybersecurity threats, what are the main reasons

0:20:32.320 --> 0:20:36.000
<v Speaker 1>that we should be nervous right now? Sure you bet.

0:20:36.240 --> 0:20:38.639
<v Speaker 1>First off, Happy New year, Lisa and Paul, and you know,

0:20:38.800 --> 0:20:43.440
<v Speaker 1>cybersecurity is really one of these areas that impacts consumers,

0:20:43.480 --> 0:20:47.240
<v Speaker 1>It impacts business, it could even impact the upcoming election cycle,

0:20:47.280 --> 0:20:49.600
<v Speaker 1>and maybe just to kick us off, if we look

0:20:49.680 --> 0:20:53.480
<v Speaker 1>at it from a consumer standpoint, the thing that consumers

0:20:53.520 --> 0:20:56.560
<v Speaker 1>really need to worry about is having their accounts and

0:20:56.640 --> 0:21:00.359
<v Speaker 1>account data stolen. One of the things that we seen

0:21:00.560 --> 0:21:06.720
<v Speaker 1>is over two billion dollars of consumer account information with

0:21:06.880 --> 0:21:10.320
<v Speaker 1>up for sale on the black market. That's eventually going

0:21:10.400 --> 0:21:12.879
<v Speaker 1>to be sold to individuals that will use it for

0:21:12.920 --> 0:21:17.800
<v Speaker 1>identity theft or fraudulent purposes. What's really interesting for folks

0:21:17.840 --> 0:21:20.600
<v Speaker 1>to be on the lookout now is how they can

0:21:20.600 --> 0:21:24.359
<v Speaker 1>be targeted because it's not just through fitting emails. We

0:21:24.400 --> 0:21:28.840
<v Speaker 1>now see things like phishing texts or even robo calls,

0:21:28.880 --> 0:21:31.960
<v Speaker 1>and really having consumers understand that these are all things

0:21:31.960 --> 0:21:34.359
<v Speaker 1>they need to be aware of. His key, So, Steve,

0:21:34.960 --> 0:21:37.399
<v Speaker 1>give us a sense of where the regulatory environment is.

0:21:37.440 --> 0:21:41.600
<v Speaker 1>It just seems like they're the regulations cannot whether it's

0:21:41.600 --> 0:21:44.359
<v Speaker 1>you know, robo calls or whatever, cannot stay ahead of

0:21:44.359 --> 0:21:46.840
<v Speaker 1>the technology. What do you think is the best way,

0:21:46.920 --> 0:21:49.639
<v Speaker 1>assuming that you know, government regulation is not there to

0:21:49.640 --> 0:21:53.200
<v Speaker 1>protect us per se, what do you suggest for your

0:21:53.280 --> 0:21:57.200
<v Speaker 1>corporate clients that they do sure so, so, first off,

0:21:57.200 --> 0:22:01.720
<v Speaker 1>there's actually been a lot of great progress s against

0:22:01.840 --> 0:22:08.880
<v Speaker 1>robocalls in both on the regulatory and technology side. On

0:22:08.920 --> 0:22:13.520
<v Speaker 1>the regulatory side, the carriers have now received higher levels

0:22:13.560 --> 0:22:17.520
<v Speaker 1>of empowerment to go after and block some of these robocalls,

0:22:17.520 --> 0:22:21.320
<v Speaker 1>so monitor them. When they detect patterns that look like

0:22:21.400 --> 0:22:24.560
<v Speaker 1>it's not legitimate, they are now authorized to block them.

0:22:24.560 --> 0:22:27.360
<v Speaker 1>There's also some new technology. It has kind of an

0:22:27.359 --> 0:22:32.240
<v Speaker 1>interesting name. It's called Shaken and stir uh so either

0:22:32.520 --> 0:22:36.040
<v Speaker 1>Martini or James Bond reference. But a Stir is for

0:22:36.119 --> 0:22:39.800
<v Speaker 1>those business systems the void systems, and Shaken is for

0:22:39.960 --> 0:22:43.879
<v Speaker 1>cell and landline. And what these technologies will do is

0:22:43.920 --> 0:22:46.439
<v Speaker 1>it will make it so that when you get caller

0:22:46.560 --> 0:22:50.560
<v Speaker 1>I D information, it will be authenticated such that it's

0:22:50.560 --> 0:22:53.199
<v Speaker 1>going to be much harder to spoof. The challenges is

0:22:53.280 --> 0:22:57.360
<v Speaker 1>that it's gonna take some time to implement these new

0:22:57.359 --> 0:23:01.600
<v Speaker 1>technologies across the board and in the um consumers M

0:23:01.680 --> 0:23:04.560
<v Speaker 1>businesses really need to have a very heightened state of

0:23:04.600 --> 0:23:07.320
<v Speaker 1>alert anytime they get a text or a or a

0:23:07.359 --> 0:23:11.040
<v Speaker 1>phone call because it's very likely not coming from the

0:23:11.080 --> 0:23:13.160
<v Speaker 1>source that the caller I D says that it is.

0:23:13.600 --> 0:23:17.439
<v Speaker 1>So how is McAfee seeing the business spending when it

0:23:17.480 --> 0:23:21.640
<v Speaker 1>comes to cybersecurity? I mean, has it been steadily accelerating

0:23:21.760 --> 0:23:24.280
<v Speaker 1>at an exponential speed or they bring it back and

0:23:24.320 --> 0:23:28.120
<v Speaker 1>being more selective about how they invest. So what we've

0:23:28.119 --> 0:23:32.679
<v Speaker 1>seen is businesses now recognize that they need to protect

0:23:32.720 --> 0:23:35.439
<v Speaker 1>all of the technologies that they're using to run their

0:23:35.480 --> 0:23:40.520
<v Speaker 1>business in and we'll see the trend continue in there's

0:23:40.560 --> 0:23:46.120
<v Speaker 1>a significant movement and embracing of cloud technologies, and with

0:23:46.280 --> 0:23:49.679
<v Speaker 1>that move of business to the cloud, we see cyber

0:23:49.720 --> 0:23:53.160
<v Speaker 1>threats now starting to target the cloud environment. So one

0:23:53.200 --> 0:23:57.040
<v Speaker 1>of the things that McAfee has done is we've extended

0:23:57.200 --> 0:24:02.240
<v Speaker 1>our enterprise portfolio to include both traditional environments and cloud

0:24:02.320 --> 0:24:05.280
<v Speaker 1>and where we see a lot of the business investment

0:24:05.800 --> 0:24:08.200
<v Speaker 1>is making sure that as they moved to the cloud

0:24:08.520 --> 0:24:12.000
<v Speaker 1>to run their business, that they can protect those environments

0:24:12.320 --> 0:24:15.399
<v Speaker 1>as well as their traditional environments. Steve, give us a

0:24:15.440 --> 0:24:19.520
<v Speaker 1>sense of how much of the cybercrime or cymber, you know,

0:24:20.119 --> 0:24:22.960
<v Speaker 1>the issues that people are dealing with, the threats, are

0:24:23.080 --> 0:24:25.919
<v Speaker 1>how much of that a state sponsored versus maybe individual

0:24:26.040 --> 0:24:27.399
<v Speaker 1>or criminal. Do we have a sense of kind of

0:24:27.440 --> 0:24:32.360
<v Speaker 1>that breakdown these days, So we don't have very specific

0:24:32.560 --> 0:24:37.480
<v Speaker 1>quantitative breakdowns, but we do see some interesting patterns. For example,

0:24:37.600 --> 0:24:41.240
<v Speaker 1>last year we saw a major ransomware campaign. It was

0:24:41.280 --> 0:24:45.400
<v Speaker 1>called the Sodan the Kibi campaign, and what was interesting

0:24:45.440 --> 0:24:50.959
<v Speaker 1>about this was it very specifically targeted North America and

0:24:51.040 --> 0:24:54.400
<v Speaker 1>Western Europe. The way that it did that is part

0:24:54.440 --> 0:24:58.240
<v Speaker 1>of the code looked at what was the local language

0:24:58.240 --> 0:25:01.680
<v Speaker 1>that was installed on the computer it or that got infected,

0:25:02.000 --> 0:25:04.119
<v Speaker 1>and if it was one of those languages from the

0:25:04.160 --> 0:25:07.960
<v Speaker 1>former Soviet Union, it would basically not run. What that

0:25:08.080 --> 0:25:13.200
<v Speaker 1>essentially did is even if individuals or businesses in certain

0:25:13.240 --> 0:25:17.560
<v Speaker 1>parts of the world got targeted or or were exposed

0:25:17.960 --> 0:25:21.520
<v Speaker 1>to this ransomware, it was essentially benign on their environment

0:25:22.000 --> 0:25:26.120
<v Speaker 1>and only selectively impacted certain parts of the world. So

0:25:27.119 --> 0:25:31.560
<v Speaker 1>whether that was a cyber crime organization that was focusing

0:25:31.720 --> 0:25:36.400
<v Speaker 1>on areas that they won't be prosecuted or other reasons.

0:25:36.760 --> 0:25:38.720
<v Speaker 1>You know, those are typically some of the reasons we

0:25:38.760 --> 0:25:41.119
<v Speaker 1>see that that sort of behavior. Hey, Steve, thanks so

0:25:41.200 --> 0:25:44.080
<v Speaker 1>much for joining us. We appreciate your thoughts. Steve Groban,

0:25:44.160 --> 0:25:47.400
<v Speaker 1>chief technology officer for McAfee, joining us on the phone

0:25:47.400 --> 0:25:50.200
<v Speaker 1>from Dallas, Texas. Thanks for listening to the Bloomberg P

0:25:50.280 --> 0:25:52.840
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<v Speaker 1>at Apple Podcasts or whatever podcast platform you prefer. Paul Sweeney,

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0:25:59.440 --> 0:26:02.480
<v Speaker 1>I'm on Twitter at Lisa Abramo. It's one before the podcast.

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<v Speaker 1>You can always catch us worldwide on Bloomberg Radiom