WEBVTT - Harvesting 'Crisis Alpha’

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<v Speaker 1>Hello, and welcome to What Goes Up a Bloomberg Weekening

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<v Speaker 1>Markets podcast. I'm Sara Plante, reporter on the Cross Asset team,

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<v Speaker 1>and I'm Mike Reagan, a senior editor on the Markets team.

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<v Speaker 1>This week on the show, there's no denying it. We're

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<v Speaker 1>in a healthcare crisis, as disheartening as it may be,

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<v Speaker 1>and you could also say that we're in an economic

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<v Speaker 1>and a market crisis. Well, our guests actually coined the

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<v Speaker 1>term crisis alpha, and the strategy she runs is up

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<v Speaker 1>seven percent this year. She'll explain what crisis alpha actually

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<v Speaker 1>is and how to capture it in times like these,

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<v Speaker 1>and as always, we will close out the episode with

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<v Speaker 1>our tradition the craziest thing I saw in markets this week? Uh,

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<v Speaker 1>And please do if you see something crazy and markets,

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<v Speaker 1>give us a call on the podcast hotline at six

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<v Speaker 1>four six four three four nine oh or tweet to

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<v Speaker 1>us at Podcasts and let us know the craziest thing

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<v Speaker 1>you saw and maybe we'll play your voicemail or mention

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<v Speaker 1>your tweet on the air. Well, let's introduce a new

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<v Speaker 1>voice here, first time on the show. Very excited to

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<v Speaker 1>have her. As sorry, as you pointed out, she is

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<v Speaker 1>an expert in trend following UH using managed futures, in fact,

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<v Speaker 1>wrote the book on it, or at least co wrote

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<v Speaker 1>the book Trend Following with Managed Futures, The Search for

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<v Speaker 1>Crisis Alpha. She is the chief research strategist at Alpha

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<v Speaker 1>Simplex Group. UH, teaches at m I T in her

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<v Speaker 1>spare time, and very excited to get her take on

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<v Speaker 1>these markets. Her name is Katie Kaminsky. Katie, Welcome to

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<v Speaker 1>the show. Hi, nice to be here today. I wanted

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<v Speaker 1>to ask about sort of how the trend following, especially UH.

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<v Speaker 1>I believe it's the Alpha Simplex Managed Future strategy that

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<v Speaker 1>Sarah was referring to. It's up like about seven or

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<v Speaker 1>eight percent this year. UM. I was reading a note

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<v Speaker 1>you wrote about sort of the process of trend following

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<v Speaker 1>during this bear market in stocks that we've seen this year,

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<v Speaker 1>and I guess you wrote a little bit about how

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<v Speaker 1>the signals, the cross assets signals from say the bond

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<v Speaker 1>market and the and the commodities market copper and oil especially, UM,

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<v Speaker 1>we're sort of signaling a risk off environment a lot

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<v Speaker 1>earlier than stocks, at least before stocks peaked towards the

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<v Speaker 1>end of February there. But I'm just curious how it

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<v Speaker 1>all sort of fits together, if you could kind of

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<v Speaker 1>dissect for us the returns and that fund how it's

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<v Speaker 1>able to do so well in this type of environment.

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<v Speaker 1>So the concept of crisis alpha opportunities are opportunities game

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<v Speaker 1>during periods of market stress or crisis. Um Strategies like

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<v Speaker 1>trend following are specifically designed to constantly measure where markets

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<v Speaker 1>are going and how things are changing across a wide

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<v Speaker 1>range of methodologies. And what we find is that we

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<v Speaker 1>move as the markets move, So as markets move in

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<v Speaker 1>different directions, we're constantly adjusting and following where markets go.

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<v Speaker 1>And so in the moments when there's a lot of

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<v Speaker 1>uncertainty or there's a lot of stress in the markets,

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<v Speaker 1>it turns out that people tend to be much more

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<v Speaker 1>polarized in their actions, for both either behavioral reasons or

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<v Speaker 1>for the fact that they may be driven into action

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<v Speaker 1>based on risk management and other typical institutional protocols. So

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<v Speaker 1>the key thing that we are following, and what's different

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<v Speaker 1>about us is that we're much more technical in nature,

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<v Speaker 1>and that we're actually looking at where the market's going

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<v Speaker 1>as opposed to why it's going somewhere, And that means

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<v Speaker 1>that we're listening to the markets and seeing where they

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<v Speaker 1>are pointing. So if I think about what happened earlier

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<v Speaker 1>this year, especially January, what was very ominous to me

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<v Speaker 1>and was giving a little pause was just how are

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<v Speaker 1>trend fling signals and how trend fling in general started

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<v Speaker 1>to see a growing apprehension, not in the equity markets,

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<v Speaker 1>but more so in the other periphery markets, which were

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<v Speaker 1>starting to price in some of the uncertainty and some

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<v Speaker 1>of the potential UH impacts of a potential pandemic. So,

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<v Speaker 1>speaking of this apprehension, Katie, the last time I saw

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<v Speaker 1>you was early March. It seems like a lifetime ago

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<v Speaker 1>because we were actually face to face in person. Doesn't

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<v Speaker 1>happen anymore. I believe it was on on March six. Then.

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<v Speaker 1>At the time, the SMP had fallen twelve percent, and

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<v Speaker 1>little did anyone know that from that point we still

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<v Speaker 1>had roughly or more to go. We would also all

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<v Speaker 1>be entering stay at home orders. Businesses would be shutting.

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<v Speaker 1>And at the time you expressed that apprehension, and around

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<v Speaker 1>the same period you also authored a report and within

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<v Speaker 1>it you said the market smells as skunk, precisely for

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<v Speaker 1>those reasons that other asset classes were signaling caution and

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<v Speaker 1>and it makes me think, I mean, if the market

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<v Speaker 1>quote unquote smelled the skunk, then well then what does

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<v Speaker 1>it smell now, because I mean, you look at oil

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<v Speaker 1>prices this past week, which dropped below twenty a barrel

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<v Speaker 1>for w t I again, and at the same time,

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<v Speaker 1>we haven't really seen bond prices react all that much.

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<v Speaker 1>But meanwhile, we've just seen equity markets turn around to

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<v Speaker 1>the upside pretty forcefully, exactly. And what's interesting for us

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<v Speaker 1>is that we saw tremendous trends in the cross asset space.

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<v Speaker 1>So there were tremendous opportunities in fixed income UM, short energies,

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<v Speaker 1>short industrial metals, long precious metals. UH. The currency market

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<v Speaker 1>has been a little bit more of it back and

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<v Speaker 1>forth in all of this situation, but in general, the

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<v Speaker 1>trends that we were seeing were relatively strong, much stronger

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<v Speaker 1>than the typical amount of trend that you would see

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<v Speaker 1>UM in a time where people are not concerned. And

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<v Speaker 1>this is why these strategies actually do very well in

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<v Speaker 1>these environments is that during periods of fear or distress,

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<v Speaker 1>people are much more coordinated and how they behave and

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<v Speaker 1>prices as a result, can also move in a much

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<v Speaker 1>more coordinated way, which means that a particular strategy that's

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<v Speaker 1>actually measuring and monitoring these trends can actually capture them.

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<v Speaker 1>So I often think about our positioning as an aggregate

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<v Speaker 1>estimate or view of what the market thinks, where the

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<v Speaker 1>market's going. So if I take a look back in

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<v Speaker 1>January at the beginning of this what was concerning to

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<v Speaker 1>me is I saw a lot of strength in terms

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<v Speaker 1>of a lot of bullish signals for fixed income, you know,

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<v Speaker 1>kind of in some sense hesitation about the equity markets.

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<v Speaker 1>I also saw a lot of strength in terms of

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<v Speaker 1>short positions in things like energies, and as you know,

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<v Speaker 1>oftentimes energies fall with equities but don't recover as much

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<v Speaker 1>um And so we saw all of these type of

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<v Speaker 1>signs and strengthening, especially in flight to safety trades in

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<v Speaker 1>terms of the cross assets that we monitor, which was

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<v Speaker 1>indicative that half of the things we were looking at

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<v Speaker 1>we're looking a little ominous. And the equity markets were

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<v Speaker 1>yet to fall Asian markets were a little bit weaker.

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<v Speaker 1>But as we saw markets fall out in February into March,

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<v Speaker 1>then the theme became coordinated and it was very much

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<v Speaker 1>a a theme of crisis. And since that point we

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<v Speaker 1>saw that continue throughout March. Um our signals have gone

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<v Speaker 1>from being very cautiously optimistic about equities to cautiously pessimistic.

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<v Speaker 1>Um not in size, but definitely right now the way

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<v Speaker 1>we're thinking about things, because you asked about positioning, UM,

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<v Speaker 1>if I take a look at how trends signals are

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<v Speaker 1>looking right now, there's definitely a very cautious view on equities,

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<v Speaker 1>cautious and slightly negative. Yeah. I'm sure everyone right now

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<v Speaker 1>is having to make very difficult decisions. And when you

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<v Speaker 1>say that the stands currently, at least regarding equities is

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<v Speaker 1>cautiously pessimistic, can you maybe walk us through the evolution

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<v Speaker 1>of the strategy maybe from the end of January to

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<v Speaker 1>the point at which we get to this point now

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<v Speaker 1>where we've had a nice rebound off of the lows

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<v Speaker 1>and the strategy is pessimistic. I know it changes quite often,

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<v Speaker 1>but can you maybe give us a sense of how

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<v Speaker 1>the strategy did change throughout time as markets were moving

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<v Speaker 1>up until this point. Yeah, I will run through how

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<v Speaker 1>the strategy had moved, But then at the end I'll

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<v Speaker 1>maybe give some um overall view in terms of what

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<v Speaker 1>could be driving this UM. So we'll start with at

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<v Speaker 1>the beginning of the year. UM. It was quite interesting

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<v Speaker 1>because after a year that was so phenomenally good for

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<v Speaker 1>the equity markets last year, things were looking good. Bond

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<v Speaker 1>markets had been more range bound and reverted somewhat in December,

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<v Speaker 1>so it was really looking like a very pro equity

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<v Speaker 1>market environment. UM. I know, growth estimates were a little

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<v Speaker 1>bit more muted than the priory prior year, but in general,

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<v Speaker 1>the risk on theme had grown a lot, and we've

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<v Speaker 1>seen that in em currencies, we've seen that in equities.

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<v Speaker 1>But then later in the month and around mid month

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<v Speaker 1>in January, as people started to notice some of the

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<v Speaker 1>things that we're going on in Asia, we noticed that

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<v Speaker 1>our potential signals in fixed income started actually to tick up,

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<v Speaker 1>our short view on energy started to grow. And then

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<v Speaker 1>as we had sort of an initial hiccup at the

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<v Speaker 1>end of January, we started to pick up some potential

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<v Speaker 1>concern um, not in US equity markets, but in some

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<v Speaker 1>of the cross asset markets. And what was interesting is

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<v Speaker 1>that you start to get to a position which looked

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<v Speaker 1>very hedged, so it was long equities, long fixed income,

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<v Speaker 1>short energy. Now, if you think about that, that's really

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<v Speaker 1>a hedged position. It's almost like a no position in

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<v Speaker 1>the sense that you're kind of if equities go down,

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<v Speaker 1>you have things that might go up UM in terms

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<v Speaker 1>of your positioning. So that continued in through the month

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<v Speaker 1>of February. So February nineteen was the peak before the

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<v Speaker 1>great fall. And what's been interesting about that is that

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<v Speaker 1>all of the other signals that we were seeing and

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<v Speaker 1>other asset classes just extended during these periods of time.

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<v Speaker 1>So the short energy trade grew strength. We also saw

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<v Speaker 1>a fixed income positively responding to that. So for us,

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<v Speaker 1>it was really about UM, a somewhat hedged position. So

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<v Speaker 1>Trent following an average was roughly flat for the month

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<v Speaker 1>of February, which I think is relatively spectacular given the

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<v Speaker 1>type of moves that we saw. Then in March, as

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<v Speaker 1>we were seeing this move continue, we we're getting out

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<v Speaker 1>of equity markets and trend failing signals were reducing exposure

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<v Speaker 1>to equities down to an almost neutral to very low position,

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<v Speaker 1>and we saw continued gains in fixed income and as

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<v Speaker 1>well as commodity markets. Okayny I love if you could

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<v Speaker 1>sort of explain for us some of the signals that

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<v Speaker 1>define a trend uh in your strategies. Um, you know,

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<v Speaker 1>is it as simple as something like a moving average? Uh?

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<v Speaker 1>You know, I imagine there's a lot of complex math involved.

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<v Speaker 1>But what are some of the sort of cornerstones of

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<v Speaker 1>identifying a trend that the strategy uses. So the key

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<v Speaker 1>approach to trend falling is about taking many different technical

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<v Speaker 1>methodologies and using those to create some sort of score

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<v Speaker 1>or vote in terms of the direction of an individual market.

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<v Speaker 1>So this requires you to parameterize how much data you're

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<v Speaker 1>going to use and what methodology you're going to use

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<v Speaker 1>in terms of measuring the strength of that particular trend.

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<v Speaker 1>What we tend to do, and what many in the

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<v Speaker 1>space tend to do, is we use a wide range

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<v Speaker 1>of different methodologies, some using more technical simple terms like

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<v Speaker 1>moving averages and breakout signals, and others too as complicated

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<v Speaker 1>as drawing from the machine learning literature and trying to

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<v Speaker 1>do things a little bit more nonlinearly. So overall, I

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<v Speaker 1>tend to explain a trend filling system is really similar

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<v Speaker 1>to a voting system. You have many different models with

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<v Speaker 1>different time horizons in terms of how much data they're using,

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<v Speaker 1>and they all come together an aggregate to vote on

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<v Speaker 1>where the market is going. So if you think about

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<v Speaker 1>what we're really trying to do, we're taking in all

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<v Speaker 1>this data from the markets would as you know, if

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<v Speaker 1>you look at a week, and you look at a month,

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<v Speaker 1>and you look at a year, they can look very different.

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<v Speaker 1>Try to use mathematical techniques to measure those and then

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<v Speaker 1>aggregate them together. Let those approaches vote to create an

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<v Speaker 1>overall signal. What this means is that in aggregate we

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<v Speaker 1>are trying to measure all the information and bring it

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<v Speaker 1>together to give ourselves an overall view of where the

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<v Speaker 1>market's going. Because trend falling is really just momentum trading

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<v Speaker 1>across different assets. You're following where things are moving, and

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<v Speaker 1>you're adjusting as the world changes. Whenever there is a

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<v Speaker 1>heightened state of volatility in the market, UM, there's this

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<v Speaker 1>tendency for analysts or or market pundits who can't really

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<v Speaker 1>explain what's going on, to sort of point the finger

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<v Speaker 1>at the machines running quant strategies. Uh. You know, if

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<v Speaker 1>if not trend following, then uh, volatility targeting and UM

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<v Speaker 1>even risk parity that sort of thing, And you know

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<v Speaker 1>that it's kind of an easy scapegoat. I guess for

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<v Speaker 1>for some people to say, you know, this market doesn't

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<v Speaker 1>make any sense to anyone but a machine running the

0:14:25.920 --> 0:14:28.680
<v Speaker 1>strategy and the application. A lot of times is that

0:14:28.920 --> 0:14:32.680
<v Speaker 1>UM uh quant strategies tend to do the same type

0:14:32.680 --> 0:14:35.560
<v Speaker 1>of thing you're talking about, UH, all sort of reacting

0:14:35.640 --> 0:14:38.720
<v Speaker 1>maybe racking to different signals, but the end result being

0:14:38.760 --> 0:14:41.560
<v Speaker 1>to sell or buy all at the same time and

0:14:41.640 --> 0:14:46.760
<v Speaker 1>possibly exaggerate the moves in the market. UM. Does do

0:14:46.800 --> 0:14:52.200
<v Speaker 1>you think that really happens in general? Uh? And specifically?

0:14:52.440 --> 0:14:55.080
<v Speaker 1>And and say the volatility we've seen the last couple

0:14:55.080 --> 0:14:57.760
<v Speaker 1>of months, UM or is it just impossible to know

0:14:57.880 --> 0:15:02.240
<v Speaker 1>and sort of impossible to dice sacked what is causing

0:15:02.320 --> 0:15:05.880
<v Speaker 1>massive swings like that? I always see and and I

0:15:05.920 --> 0:15:08.680
<v Speaker 1>think it's an easy narrative to say that, because it's

0:15:08.720 --> 0:15:12.080
<v Speaker 1>easier to blame a machine than a person. UM. But

0:15:12.840 --> 0:15:15.080
<v Speaker 1>one other thing is is that I always go back

0:15:15.120 --> 0:15:21.280
<v Speaker 1>to the basic tenants of volatility. Volatility represents uncertainty. When

0:15:21.320 --> 0:15:24.200
<v Speaker 1>things go up and down a lot, it's because people,

0:15:24.480 --> 0:15:29.000
<v Speaker 1>whether or not it's algorithm or a person, I don't

0:15:29.000 --> 0:15:32.760
<v Speaker 1>know what's going on, and they're unsure about where the

0:15:32.840 --> 0:15:36.480
<v Speaker 1>markets are going, and I would say that across the

0:15:36.560 --> 0:15:40.840
<v Speaker 1>quant space it's actually been very mixed. Trend Falling strategies

0:15:40.840 --> 0:15:44.160
<v Speaker 1>are one of the only strategies that have really tend

0:15:44.200 --> 0:15:47.000
<v Speaker 1>to do very well in this environment. It actually turns

0:15:47.000 --> 0:15:49.320
<v Speaker 1>out that a lot of the other quant strategies have

0:15:49.560 --> 0:15:52.920
<v Speaker 1>struggled UM. The reason being is that they may have

0:15:53.080 --> 0:15:58.240
<v Speaker 1>very specific hedges or offsets and in strategies that when

0:15:58.280 --> 0:16:02.200
<v Speaker 1>things get volatile, things get complicated for them. UM. And

0:16:02.240 --> 0:16:04.240
<v Speaker 1>so I would say that I tend to think about

0:16:04.320 --> 0:16:08.640
<v Speaker 1>volatility is really our perception or it's a measurement of

0:16:08.760 --> 0:16:12.560
<v Speaker 1>our view of uncertainty. So the environment that we just

0:16:12.640 --> 0:16:15.920
<v Speaker 1>went into, and you can probably you probably agree with

0:16:15.960 --> 0:16:19.640
<v Speaker 1>me yourself, is that the idea of a pandemic, the

0:16:19.720 --> 0:16:22.600
<v Speaker 1>idea of staying at home, the idea of a lockdown

0:16:23.440 --> 0:16:27.560
<v Speaker 1>UM is something so uncertain that it is not at

0:16:27.600 --> 0:16:30.600
<v Speaker 1>all surprising to me that markets would be up and

0:16:30.680 --> 0:16:34.880
<v Speaker 1>down every other day. Because volatility is a measure of

0:16:35.000 --> 0:16:39.640
<v Speaker 1>uncertainty things going around UM A lot is much more

0:16:39.680 --> 0:16:44.760
<v Speaker 1>about how we feel about what things, what things are worth. UM.

0:16:44.840 --> 0:16:49.400
<v Speaker 1>Now could UH systematic managers or quad managers when people

0:16:49.840 --> 0:16:53.240
<v Speaker 1>do the same thing move these things more, it's possible.

0:16:53.560 --> 0:16:56.360
<v Speaker 1>I'd have to do a much more extensive research and

0:16:56.440 --> 0:16:59.360
<v Speaker 1>really get into the data. I know that even when

0:16:59.360 --> 0:17:01.800
<v Speaker 1>we looked at the flash crash, I know the CFTC

0:17:02.160 --> 0:17:05.600
<v Speaker 1>did some extensive analysis of that and found actually that

0:17:06.080 --> 0:17:09.600
<v Speaker 1>it was a fundamental trade that was just too large

0:17:09.680 --> 0:17:13.040
<v Speaker 1>that created a dislocation. So I think I think that's

0:17:13.040 --> 0:17:16.159
<v Speaker 1>a great question. It's definitely a good narrative. People like

0:17:16.280 --> 0:17:20.200
<v Speaker 1>it blame the machine, um, But for me, it's really

0:17:20.960 --> 0:17:25.240
<v Speaker 1>this volatility isn't someone's fault. It's more that we don't know.

0:17:26.240 --> 0:17:31.520
<v Speaker 1>It's really representative of how unsure the markets are about

0:17:31.560 --> 0:17:35.800
<v Speaker 1>what's going on. No, there's no doubt that headlines news

0:17:35.800 --> 0:17:39.640
<v Speaker 1>flow has been on hyper drive. It scenes and Mike,

0:17:39.760 --> 0:17:42.840
<v Speaker 1>you know that that has given us plenty of opportunities

0:17:42.880 --> 0:17:46.479
<v Speaker 1>at least to uh think of crazy things for our

0:17:46.840 --> 0:17:51.840
<v Speaker 1>crazy things and markets for sure, So what did what's

0:17:51.880 --> 0:17:54.920
<v Speaker 1>your best? What has been shocking to me has been

0:17:54.960 --> 0:17:58.720
<v Speaker 1>the contango in oil that we have seen the fact

0:17:58.760 --> 0:18:03.840
<v Speaker 1>that may oil pray says we're nineteen and September thirty something,

0:18:03.960 --> 0:18:07.720
<v Speaker 1>and I saw a report from Bloomberg today that people, um,

0:18:07.800 --> 0:18:10.280
<v Speaker 1>so going back to what we saw bonds in the

0:18:10.320 --> 0:18:13.640
<v Speaker 1>summer where people are willing to pay to own German debt.

0:18:13.720 --> 0:18:15.919
<v Speaker 1>Now we have a situation where you get paid to

0:18:16.000 --> 0:18:20.560
<v Speaker 1>sell gasoline, So maybe that's the next thing. We all

0:18:20.560 --> 0:18:23.920
<v Speaker 1>go around and find gasoline and sell it, because, um,

0:18:24.520 --> 0:18:26.800
<v Speaker 1>that's a weird world that you could get paid to

0:18:26.840 --> 0:18:31.560
<v Speaker 1>actually sell gasoline. There must be just oil tigers crowded

0:18:31.600 --> 0:18:33.640
<v Speaker 1>off the shores right now full of oil. It's it's

0:18:33.640 --> 0:18:37.439
<v Speaker 1>an amazing Uh, that is an amazing situation. Apparently they

0:18:37.480 --> 0:18:40.400
<v Speaker 1>said it was twelve cents a gallon in in North

0:18:40.480 --> 0:18:43.919
<v Speaker 1>Dakota for oil. Well that's a good one, Katie, and

0:18:43.920 --> 0:18:49.240
<v Speaker 1>you get you get props for sticking close to the markets, Sara,

0:18:49.320 --> 0:18:53.119
<v Speaker 1>can you top Katie's oil can tango? So I brought

0:18:53.200 --> 0:18:56.560
<v Speaker 1>to one that's markets related and one that's less so so,

0:18:57.600 --> 0:19:01.600
<v Speaker 1>but I'll start with the market related one and that's that.

0:19:02.160 --> 0:19:06.600
<v Speaker 1>Now the five largest companies make up which is a

0:19:06.600 --> 0:19:09.600
<v Speaker 1>new record. And I think it's just been pretty amazing

0:19:09.600 --> 0:19:11.960
<v Speaker 1>that we continue to see a lot of these mega

0:19:12.040 --> 0:19:16.240
<v Speaker 1>cap technology and internet companies just continue to perform so

0:19:16.280 --> 0:19:19.480
<v Speaker 1>well in this type of environment. I think like a

0:19:19.560 --> 0:19:22.160
<v Speaker 1>couple of years ago, people would have said that when

0:19:22.160 --> 0:19:24.280
<v Speaker 1>the bull market came to an end. The companies that

0:19:24.359 --> 0:19:26.560
<v Speaker 1>let on the way up, we're going to lead on

0:19:26.600 --> 0:19:29.600
<v Speaker 1>the way down and that and that certainly hasn't happened. Um.

0:19:29.640 --> 0:19:31.080
<v Speaker 1>So I think the fact that we have a new

0:19:31.119 --> 0:19:34.280
<v Speaker 1>record related to top heaviness in the market is pretty crazy.

0:19:34.440 --> 0:19:39.480
<v Speaker 1>For one, Yeah, absolutely absolutely, and then uh, the less

0:19:39.520 --> 0:19:41.960
<v Speaker 1>markets related one really not related to the markets at all.

0:19:42.520 --> 0:19:45.320
<v Speaker 1>There was just a great story in the New York Times.

0:19:45.359 --> 0:19:50.000
<v Speaker 1>It was a bit uh, someone would say humorous. Um,

0:19:50.119 --> 0:19:52.719
<v Speaker 1>but the headline reads Trump wanted a radio show, but

0:19:52.840 --> 0:19:55.520
<v Speaker 1>he didn't want to compete with them, and it's it's

0:19:55.560 --> 0:19:58.080
<v Speaker 1>a great read if you have some downtime. Essentially, it's

0:19:58.080 --> 0:20:01.040
<v Speaker 1>just details President Trump going to one of the Coronavirus

0:20:01.160 --> 0:20:03.280
<v Speaker 1>Task Force meetings and laying out this plan that he

0:20:03.320 --> 0:20:06.879
<v Speaker 1>wanted to have a two hour radio show each day. Um.

0:20:06.960 --> 0:20:08.560
<v Speaker 1>And the only reason he didn't want to do it

0:20:08.600 --> 0:20:11.680
<v Speaker 1>is because he didn't want to knock Rush Limbaugh's ratings. Um.

0:20:11.720 --> 0:20:15.080
<v Speaker 1>It's it's an interesting rate. Uh, it's just a bit

0:20:15.200 --> 0:20:17.239
<v Speaker 1>humorous in these In these times, he has a two

0:20:17.280 --> 0:20:19.400
<v Speaker 1>hour TV show every night at the at the press

0:20:19.480 --> 0:20:21.960
<v Speaker 1>count right now, he has a TV show instead with

0:20:21.960 --> 0:20:26.680
<v Speaker 1>with great ratings so crazy times. I'm not sure how

0:20:26.720 --> 0:20:29.080
<v Speaker 1>two hours on the radio helps him fight the virus,

0:20:29.160 --> 0:20:32.840
<v Speaker 1>but he does like to talk, so UM, I have

0:20:32.880 --> 0:20:36.000
<v Speaker 1>no no doubt he could fill two hours or radio

0:20:36.080 --> 0:20:38.520
<v Speaker 1>time a day. All right, these are all pretty good.

0:20:38.520 --> 0:20:42.800
<v Speaker 1>I will I'll give you mine, um mine. As you know,

0:20:42.880 --> 0:20:45.400
<v Speaker 1>I like to push the boundaries of what is considered

0:20:45.440 --> 0:20:49.160
<v Speaker 1>a market story. Uh, but this is certainly crazy now.

0:20:50.520 --> 0:20:54.080
<v Speaker 1>One of the most depressing things about this virus, uh

0:20:54.680 --> 0:20:57.040
<v Speaker 1>for the average person who hasn't really had to deal

0:20:57.080 --> 0:21:00.640
<v Speaker 1>with with a sick or dying relative, but the lack

0:21:00.680 --> 0:21:05.160
<v Speaker 1>of sports on TV uh throughout this has been traumatic

0:21:05.240 --> 0:21:09.400
<v Speaker 1>for a lot of people, um, especially gamblers. And here's

0:21:09.400 --> 0:21:12.040
<v Speaker 1>where we get into the markets. Now that online gambling

0:21:12.200 --> 0:21:15.680
<v Speaker 1>is legal in some states, I I think it's okay

0:21:15.680 --> 0:21:18.520
<v Speaker 1>to consider that an official market, at least for the

0:21:18.520 --> 0:21:21.399
<v Speaker 1>purposes of this crea before. Yeah, at least for the

0:21:21.400 --> 0:21:26.480
<v Speaker 1>purposes of this this crazy observation. So the first major

0:21:26.600 --> 0:21:29.760
<v Speaker 1>league sport to get back in business, do you know

0:21:29.800 --> 0:21:33.439
<v Speaker 1>what it is? Well, not counting world wide wrestling. Uh,

0:21:33.560 --> 0:21:35.680
<v Speaker 1>that's what I was gonna say. W w Okay, I

0:21:35.720 --> 0:21:38.480
<v Speaker 1>guess that might be there might be a tie between that,

0:21:38.840 --> 0:21:41.439
<v Speaker 1>but you can't. You can't gamble on that. I mean,

0:21:41.480 --> 0:21:43.000
<v Speaker 1>I guess you could. But if you're gonna gamble on

0:21:43.080 --> 0:21:49.120
<v Speaker 1>professional professional wrestling, then you've got goods of major problems.

0:21:49.960 --> 0:21:53.480
<v Speaker 1>But I believe if you have inside information, right, yeah,

0:21:53.520 --> 0:21:56.840
<v Speaker 1>but those are all plans anyways, right, they're all chograph's

0:21:56.880 --> 0:22:00.200
<v Speaker 1>bet on the good guy. I guess um. They're is

0:22:00.240 --> 0:22:04.360
<v Speaker 1>a league called the Major League Eating League, and it's

0:22:04.400 --> 0:22:06.440
<v Speaker 1>these guys you know, like at the hot dog eating

0:22:06.440 --> 0:22:09.600
<v Speaker 1>contests on Conan Island. It's all those guys. Uh. It's

0:22:09.600 --> 0:22:12.919
<v Speaker 1>been officially turned into a league called Major League Eating

0:22:13.800 --> 0:22:16.159
<v Speaker 1>and they believe they are the first professional sport to

0:22:16.240 --> 0:22:21.800
<v Speaker 1>get back in business. They're having eating tournament. Everyone's gonna

0:22:21.800 --> 0:22:25.679
<v Speaker 1>be at their home zooming in or or skyping in.

0:22:25.760 --> 0:22:28.199
<v Speaker 1>I guess uh. And you'll be able to gamble on it.

0:22:28.240 --> 0:22:30.840
<v Speaker 1>They've already set some of the over unders and stuff

0:22:30.880 --> 0:22:34.800
<v Speaker 1>like that on it. Let me just tell you what

0:22:34.880 --> 0:22:37.400
<v Speaker 1>you have to do to to participate in this tournament.

0:22:37.520 --> 0:22:41.320
<v Speaker 1>So the qualifying round will consist of two pounds of

0:22:41.359 --> 0:22:45.040
<v Speaker 1>slice bologney. So you have the two pounds of slice bologney,

0:22:45.600 --> 0:22:48.119
<v Speaker 1>and it's a race. So who can eat that two

0:22:48.160 --> 0:22:51.560
<v Speaker 1>pounds of blowney. The fastest I've read somewhere the overunder

0:22:51.720 --> 0:22:56.800
<v Speaker 1>was like sixty nine seconds three to eat two pounds

0:22:56.800 --> 0:23:00.320
<v Speaker 1>of blaney. So um, So, Mike, you're not you're not

0:23:00.359 --> 0:23:03.960
<v Speaker 1>going to try to take part of Maybe if it

0:23:04.080 --> 0:23:09.159
<v Speaker 1>was I don't know about bolony the quarter finals hot dogs,

0:23:09.200 --> 0:23:11.439
<v Speaker 1>I could I don't know, I could kind of see that.

0:23:11.480 --> 0:23:15.240
<v Speaker 1>If it was chicken wings, maybe I I could get

0:23:15.240 --> 0:23:17.960
<v Speaker 1>into that. I'm from Philly, where the the big competition

0:23:18.000 --> 0:23:21.439
<v Speaker 1>is the chicken chicken wing eating competitions. But so then

0:23:21.480 --> 0:23:24.560
<v Speaker 1>from the quarterfinals, uh, you'll have to eat a family

0:23:24.600 --> 0:23:27.879
<v Speaker 1>sized pack of oreos and a half a gallon of milk.

0:23:28.080 --> 0:23:31.520
<v Speaker 1>That doesn't seem that tough actually, but here's where, yeah,

0:23:31.760 --> 0:23:36.800
<v Speaker 1>here's where they really will separate the pros from the amateurs. Though. Uh.

0:23:36.920 --> 0:23:39.400
<v Speaker 1>To make it to the finals, you'll have to eat

0:23:39.480 --> 0:23:45.399
<v Speaker 1>over a gallon of baked beans. Oh and if you

0:23:45.440 --> 0:23:50.919
<v Speaker 1>win that, the the finals consists of ten individual cups

0:23:51.040 --> 0:23:53.680
<v Speaker 1>of ramen noodles. Um. But I think that gun. I

0:23:53.680 --> 0:23:56.320
<v Speaker 1>wonder who comes up with this stuff beans and ramen?

0:23:56.359 --> 0:23:58.360
<v Speaker 1>What are they assuming more people have these things at

0:23:58.359 --> 0:24:03.080
<v Speaker 1>their home. I wonder if that's it. Yeah. Yeah, Oreos

0:24:03.400 --> 0:24:05.520
<v Speaker 1>the gaunt of baked beans, I think is the deal

0:24:05.560 --> 0:24:08.600
<v Speaker 1>breaker there. I don't, I don't know, I I I

0:24:08.960 --> 0:24:12.600
<v Speaker 1>pity the person who gets that far. It's a hard one.

0:24:12.720 --> 0:24:15.400
<v Speaker 1>I must say. I haven't been dragged into eating a

0:24:15.440 --> 0:24:18.800
<v Speaker 1>food watching it. But I've been watching um the horse

0:24:18.880 --> 0:24:21.560
<v Speaker 1>tournaments for the NBA and the w n b A

0:24:21.760 --> 0:24:26.040
<v Speaker 1>and also i've been watching some NBA players playing two

0:24:26.119 --> 0:24:31.240
<v Speaker 1>K on Xbox, which has been a pretty entertaining and

0:24:31.320 --> 0:24:35.000
<v Speaker 1>this time. Yeah, yeah, that's that's not bad. Let's say, Hey,

0:24:35.000 --> 0:24:38.760
<v Speaker 1>it beats beats watching a rerun of a game. Anyway, Katie,

0:24:38.800 --> 0:24:40.320
<v Speaker 1>maybe you could get your pals and m I t

0:24:40.480 --> 0:24:44.560
<v Speaker 1>you could have like a New England clam chowder eating competition.

0:24:47.720 --> 0:24:50.280
<v Speaker 1>Why not? I think I think it's probably hard to

0:24:50.320 --> 0:24:54.119
<v Speaker 1>get ahold of some fresh clam chowder around here. I

0:24:54.160 --> 0:25:01.439
<v Speaker 1>don't know. Maybe there's a delivery service to check if legal, right, Uh,

0:25:02.359 --> 0:25:04.560
<v Speaker 1>all right, well do what you gotta do in these times.

0:25:06.160 --> 0:25:08.920
<v Speaker 1>But on that note, anyways, Katie Kaminski, thank you so

0:25:09.040 --> 0:25:11.439
<v Speaker 1>much for joining the show this week. Thank you so

0:25:11.560 --> 0:25:21.119
<v Speaker 1>much for having me. What goes up? We'll be back

0:25:21.200 --> 0:25:23.520
<v Speaker 1>next week. Until then, you can find us on the

0:25:23.560 --> 0:25:27.520
<v Speaker 1>Bloomberg Terminal, website and app, or wherever you get your podcasts.

0:25:27.880 --> 0:25:29.520
<v Speaker 1>We'd love it if you took the time to rate

0:25:29.560 --> 0:25:32.480
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0:25:32.480 --> 0:25:35.480
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0:25:35.560 --> 0:25:39.480
<v Speaker 1>me at at Sarah Panzac, Mike is that Reaganonymous, and

0:25:39.600 --> 0:25:43.960
<v Speaker 1>you can also follow Bloomberg Podcasts at podcasts. What Goes

0:25:44.080 --> 0:25:47.000
<v Speaker 1>Up is produced by Toper Foreheads. The head of Bloomberg

0:25:47.040 --> 0:25:50.560
<v Speaker 1>Podcast is Francesca Levie. Thanks for listening, See you next time.

0:26:04.880 --> 0:26:05.760
<v Speaker 1>Before