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  • [MUSIC PLAYING]

  • SPEAKER: Joel Greenblatt, our guest for today,

  • is the co-founder, managing principal,

  • and co-CIO of Gotham Asset Management.

  • We could not be more thrilled and more grateful

  • than to have him accept our invitation and be here.

  • Thank you so much, Joel-- over to you.

  • [APPLAUSE]

  • JOEL GREENBLATT: Thanks so much.

  • Thanks for coming out today.

  • I really appreciate it very much.

  • I've never been here before, so I'm looking forward to my tour

  • right after, so thank you.

  • So even Warren Buffett says the vast majority of people

  • should index, and I agree with him.

  • So are there any questions, or do I have any time?

  • [LAUGHTER]

  • Then again-- well, I have time, so then again, Warren Buffett

  • doesn't index and neither do I. So I thought I'd tell you why,

  • and then maybe you'll have some more information

  • to decide for yourself what makes sense for you.

  • And in a sense, it shouldn't be that hard.

  • Actually, I had a friend who's an orthopedic surgeon

  • and is in charge of a group of orthopedic surgeons.

  • And he asked me to speak to them at a dinner,

  • about the stock market.

  • And I said, OK, these are smart, educated guys.

  • They can understand this stuff.

  • And I spoke for about 35 minutes,

  • explaining how the stock market worked and everything else.

  • And then I started getting questions along the lines of,

  • oil went down $2 yesterday--

  • What should I do?

  • Or a market was up 2% yesterday--

  • what do I do about that?

  • So my interpretation of those questions

  • was I had just crashed and burned.

  • So last year, I was lucky enough to be

  • asked to teach a ninth-grade class, a bunch of kids,

  • mostly from Harlem.

  • And I had just sort of crashed and

  • burned with the orthopedic surgeons,

  • and I didn't want to do that with the kids.

  • And so I started to try to think of,

  • what could I do to explain the stock

  • market a little bit better?

  • And so I walked into class the first day,

  • and I handed out a bunch of three-by-five cards.

  • And I brought in this jar of jellybeans right here,

  • and I asked--

  • the students passed around the jar of jellybeans.

  • I asked them to count the rows, do whatever they wanted to do,

  • and write down their best guess for how many jellybeans

  • were in the jar.

  • I collected the three-by-five cards,

  • then I went around the room, one by one,

  • to each one of the kids in the room.

  • And I said, listen, you can keep your guess

  • or you can change your guess.

  • That's up to you.

  • And I went, one by one, around the room

  • and asked people how many, and wrote down the various guesses.

  • So it turned out, the average of the guesses

  • for the three-by-five cards was 1,771 jellybeans.

  • There are 1,776 jellybeans in the jar,

  • so that was pretty good.

  • The guess when I went around the room, that was 850 jellybeans.

  • And I explained to them that the stock market's actually

  • second-guessed, because everyone knows what they just

  • read in the paper or what the guy next to them said,

  • what they saw in the news, and are influenced

  • by everything around them.

  • And that was the second guess, and that's the stock market.

  • The cold, calculating guess, when

  • they were counting rows and trying

  • to figure out what was going on, that

  • actually was the better guess--

  • that's not the stock market.

  • But that's where I see our opportunity.

  • Once a year in my class at Columbia, at least

  • for the last five, six years, somebody raises their hand

  • and asks a question that goes something like this--

  • hey, Joel, congratulations.

  • You've been doing this for 35 years,

  • and you've had a nice record.

  • But now there are more computers, there's more data,

  • there's more ability to crunch numbers.

  • And isn't the party over for us?

  • Isn't it just more hedge funds?

  • It's just a lot more competition.

  • Isn't the party over for us?

  • So my students are generally second-year MBAs--

  • I'd say average age, 27 or so.

  • So I just answer it this way.

  • I tell them, let's go back to when you learned how to read.

  • Let's take a look at the most followed market in the world.

  • That would be the United States.

  • Let's take a look at the most followed stocks

  • within the most followed market in the world.

  • Those would be the S&P 500 stocks.

  • Let's take a look at what's happened

  • since you learned how to read.

  • So I tell them, from 1997--

  • when they were 9 or 10--

  • to 2000, the S&P 500 doubled.

  • From 2000 to 2002, it halved.

  • From 2002 to 2007, it doubled.

  • From 2007 to 2009, it halved.

  • And from 2009 to today, it's roughly tripled,

  • which is my way of telling them that people are still crazy.

  • That was just the last 17 years.

  • And I'm way understating the case,

  • because the S&P 500 is an average of 500 stocks.

  • If you lift up the covers and look underneath what's

  • going on, there's huge dispersion

  • of those 500 stocks between those,

  • at any particular time, that are in favor and those

  • that are out of favor.

  • And so there's a wild ride going on underneath the covers.

  • If you look under the covers, there's

  • a wild ride of those 500 stocks at any particular time.

  • And that doubling and halving, doubling

  • and halving with the average of 500 stocks

  • is really smoothing the ride.

  • So there should be an opportunity.

  • And if you understand what stocks are--

  • and I guarantee my students, first day of class--

  • I make a guarantee every year.

  • And they walk in, and I guarantee them

  • this-- if they do good valuation work of a company,

  • I guarantee them the market will agree with them.

  • I just never tell them when.

  • It could be a couple weeks.

  • It could be two or three years.

  • But if they do good valuation work,

  • the market will agree with them.

  • Stocks are not pieces of paper that bounce up and down,

  • and you put complicated ratios on,

  • like Sharpe ratios or Sortino ratios.

  • Stocks are ownership shares of businesses

  • that you are valuing and, if so inclined,

  • tried to buy at a discount.

  • So if you believe what Ben Graham said,

  • that this horizontal line is fair value,

  • and this wavy line around that horizontal line

  • are stock prices, and you have a disciplined process

  • to buy, perhaps, more than your fair share when they're

  • below the line, and, if so inclined, sell

  • or short more than your fair share

  • when they're above the line, the market

  • is throwing us pitches all of the time.

  • The reason people don't outperform the market--

  • there are behavioral problem.

  • There are agency problems.

  • But it's not because we're not getting those opportunities.

  • I will show you briefly--

  • let me tell you how we value stocks.

  • It's not very tough, and I think most of you will understand it.

  • And I think the best example that

  • seems to resonate with most people

  • is thinking about buying a house.

  • And to keep the numbers simple, let's

  • say that someone is asking $1 million for the house.

  • They want to sell, and your job is

  • to figure out whether that's a good deal or not.

  • So there's certain questions you would ask.

  • One of the first questions I'd ask

  • is, well, how much rent could I get for that thing, OK?

  • So in other words, if I rented out that million-dollar house,

  • how much rent would I collect?

  • If I were going to collect $70,000, $80,000,

  • $90,000 a year--

  • 7%, 8%, 9% yield on that house--

  • that's one way I might go about valuing it.

  • And what's the next question you would ask?

  • I'm pretty sure I know what it would be.

  • What are the other houses on the block going for,

  • on the block next door and the town next door?

  • How does this compare?

  • How relatively cheap is this, relative to all

  • my current choices?

  • So that's what we do.

  • We look at, how relatively cheap is

  • this business, relative to other similar businesses,

  • relative to a whole universe of choices that I have?

  • We do that.

  • We also go back in history, look at how

  • this company or this house has traditionally

  • been valued, versus other ones in the neighborhood

  • or versus other communities.

  • And how is it being valued now?

  • So measures of absolute and relative value--

  • absolutely cheap on a rental basis,

  • relatively cheap on all different kinds of measures

  • that make sense to you--

  • now, you wouldn't use any of these measures

  • all by themselves.

  • If you just used relative cheapness-- if some of you

  • remember the internet bubble, and you

  • bought the cheapest internet stock, that wasn't cheap.

  • It was just cheap relative to all

  • the other crazy-priced stocks at the time.

  • But we use our measures of absolute and relative value

  • as checks and balances against each other

  • to try to zero in on fair value.

  • So when you do this--

  • I just want to show you a simple chart.

  • This is actually a study we did of our valuation methodology,

  • very similar to the way I just said we value a house.

  • This is how we-- we looked at the 2,000 largest

  • companies in the US over a 20-year period.

  • This was 1992 to 2012, and we ranked them on a daily basis

  • from 1 to 2,000, based on their discount

  • to our assessment of value, using these metrics.

  • The x-axis here-- you probably can't see it--

  • is just a valuation percentile.

  • All this means is if you were in the bottom left-hand corner,

  • and you were in the first percentile,

  • you're the 20 companies at any particular time,

  • out of those 2,000, that measure cheapest,

  • according to our measures of absolute and relative value.

  • Go to the 99th percentile--

  • you would be the 20 companies that measure most expensive

  • out of those 2,000.

  • The y-axis is the year forward return on average

  • during those 20 years.

  • What this chart simply says is, on average,

  • stocks that fell in our first percentile, the cheapest 20,

  • averaged a one-year forward return during those

  • 20 years of 38%.

  • Stocks that ranked in our second percentile

  • averaged a one-year forward return of about 37%.

  • And then we drop down to this best-fit line, which we always

  • say we don't mind missing when we're making extra money.

  • And then as we measure something more expensive,

  • the year forward return drops.

  • And if you were sitting in my class at Columbia and I said,

  • hey, does anyone see a long-short strategy

  • you might pursue if you could predict ahead

  • of time which stocks would do best, second best, third

  • best, in order, and you did not say,

  • I guess I'd buy these guys up here

  • in the upper left-hand corner and short

  • these guys in the bottom right-hand corner--

  • if you didn't say that, I'd probably throw you out

  • of class, because it's very straightforward.

  • That's what you should do.

  • And by the way, that's what we do.

  • The important thing to understand

  • is that stocks are ownership shares of businesses, OK?

  • Now, by the way, that beautiful chart

  • I showed you with the 90% fit--

  • why doesn't everyone do this?

  • Well, unfortunately, it doesn't look

  • like that when you're living through that.

  • That's an average over 20 years.

  • If I showed you a snippet of three or four years,

  • the fit would be nice.

  • It might be 0.55, 0.6, something like that.

  • But it's not going to be very cooperative, right?

  • If what we did worked every day, and every month,

  • and every year, everyone would do it.

  • It would stop working--

  • but it doesn't, unfortunately.

  • But the reason that we stick to what we're doing even

  • when it's not working is that chart,

  • meaning the way we value companies,

  • our measures of absolute and relative value,

  • are approximately how the market values them over time.

  • If we were, for instance, momentum investors--

  • OK, and I will tell you that for those of you

  • who know that means, momentum has

  • been studied across the globe over the last 30, 40

  • years in the US.

  • It's worked pretty much everywhere--

  • not all the time, but on average it's worked very well over 30,

  • 40 years, and not just in this country.

  • But here's the problem.

  • What if it didn't work over the next two or three years?

  • It could be that we just have to be patient.

  • It works over time, and it's cyclical.

  • And so it's out of favor, and we just have to stick to our guns

  • because it's something that's worked.

  • Or it could be, if it didn't work in the next two or three

  • years, that the explanation is, hey,

  • it's not so hard to figure out.

  • A stock used to be down here, and now it's

  • up here-- it's got good momentum.

  • And with all the data, and the ability to crunch numbers,

  • and computers, and studies that have come out,

  • it's a crowded trade.

  • It's degraded.

  • It's not as good as it used to be.

  • And if that's what happened over the next two, three years,

  • I would know the answer to that question.

  • I didn't know which one it was.

  • Should I just be patient, or has the trade degraded?

  • But if you view stocks as ownership shares of businesses

  • that you value and try to buy at a discount,

  • and that doesn't work for a couple of years,

  • I'm not going to change what I'm doing.

  • I'm not going to buy the bottom right-hand corner,

  • buy all the money-losers and the companies

  • that don't earn anything or are trading it

  • 100 times, free cash flow.

  • I'm not going to buy those, even if it works

  • in one particular year, and then sell the ones that are cheap,

  • relative to everything, get me high rents,

  • and everything else.

  • I'm not going to change my strategy,

  • and I believe that stocks will eventually-- not

  • right now, but eventually people get it right.

  • And I may have to be patient.

  • That's really what I have to do.

  • What that chart tells me is I'm on the right track,

  • meaning that's sort of our true north,

  • and we just have to be patient to get there.

  • The reason that these simple metrics don't get arbitraged

  • away is-- the example I usually use for arbitrage is, oh, you

  • see gold in New York at $1,200, and it's selling at London

  • simultaneously at $1,201.

  • Well, an arbitrageur sitting on a trading desk someplace

  • will see that and buy up gold in New York at $1,200

  • and push the price up a little bit.

  • He'll simultaneously sell gold in London at $1,201,

  • push the price down.

  • And they'll converge somewhere in the middle,

  • and it'll happen so fast on a trading desk

  • that you don't really even get to see that.

  • But what if I told you, you could buy gold in New York

  • today at $1,200, and sometime in the next two, three years

  • you're going to make money, but you

  • could lose 20% of your money while you're waiting?

  • There's no guy sitting on a desk anywhere that

  • really can do that.

  • And frankly, time horizons are getting shorter.

  • It used to be, when I was younger,

  • I used to get quarterly statements,

  • and most people would throw them in the garbage.

  • Now you can check your stock price 30 times a minute

  • on the internet.

  • Maybe some of you do.

  • And time horizons are shrinking, and we're just

  • playing time arbitrage.

  • We're being patient, buying cheap, good businesses,

  • and waiting for the market to recognize the value we see.

  • But it takes some work to value companies.

  • And let's say you don't want to do that.

  • You have a day job.

  • I guess everyone here has a day job,

  • so you don't want to do that.

  • So one thing you could do is try to find someone

  • good to do it for you, right?

  • I'm showing you there's this opportunity.

  • Maybe someone can do it for you.

  • And what you should probably look

  • for when you're looking for that person

  • is someone who has a good investment process that

  • makes sense to you.

  • The problem is, for most active managers,

  • if you think of their challenge--

  • when they're picking an individual stock,

  • they must think that they have a variant hypothesis as to why

  • that stock is priced differently than the way it should be.

  • And I can tell you, I've been doing this over 35 years,

  • and it's very rare.

  • Almost never have I bottom-ticked a stock, bought

  • it at the absolute bottom.

  • So 99.9-plus percent of the time,

  • a stock is down after I've bought it.

  • And there are really only two reasons why--

  • one is I was wrong.

  • The other is I just need more time

  • for my thesis to play out, OK?

  • Now, as an outside allocator, you

  • don't really know what the thesis for the individual stock

  • was.

  • Even the manager himself sometimes doesn't know.

  • When things are going against you,

  • there are all kinds of agency problems.

  • You've got people to answer to.

  • You have behavioral issues, just naturally-- you

  • start to doubt yourself.

  • It's very unclear sometimes, even to them,

  • what their biases are and what they're doing.

  • They did studies that you guys are familiar with, probably,

  • of why the home team always wins in sports,

  • or at least wins more than it should.

  • And the original thesis was generally, oh, they're

  • used to the court.

  • They slept in their own bed.

  • The fans, they jazz them up, whatever it might be.

  • And when they controlled for all these variables,

  • the answer turned out to be that the refs don't

  • like to get booed, OK?

  • So they don't think that they're being biased.

  • I'm sure in 99.9% of cases, they don't, but they

  • don't like to get booed.

  • And so they're being influenced by--

  • and so there's the same problem with an active manager.

  • He's got agency behavioral issues that he's not sure of.

  • So the allocator doesn't really understand the thesis

  • behind each pick.

  • It's not clear that the manager is totally unbiased

  • when he has a variant thesis that's going against him.

  • And so since you don't know the thesis

  • as an allocator, most people--

  • all they have are the returns, and that's what they used.

  • So in an interesting study that came out

  • the day after Thanksgiving--

  • so it was interesting to me, probably not interesting

  • to the guys who did the study.

  • Morningstar put out a study of their star system.

  • And their star system is based on past returns,

  • letting you know who's done the best over the last one, three,

  • and five years.

  • Of course, my interpretation of their study

  • was that our star system doesn't work.

  • We can't discern.

  • The last one, three, five years of returns

  • has not much to do with the next one, three, five.

  • But that's what everyone uses.

  • I wrote a book.

  • I hold it up here.

  • It's called "The Big Secret," and I always

  • say it's still a big secret because no one read it.

  • [LAUGHTER]

  • And in that book, I talked about a few studies.

  • Number one, it talked about the best-performing manager.

  • I wrote it in 2011, so it talked about the decade

  • 2000 to 2010-- looked at the best-performing mutual fund,

  • a study of the best-performing mutual fund for that decade.

  • That fund was up 18% per year, 100% long in the US equities.

  • The market was flat during those 10 years,

  • so 18% up a year is pretty good.

  • Unfortunately, the average investor in that fund,

  • on a dollar-weighted basis, managed to lose 11%

  • a year because every time the market went up,

  • people piled in.

  • When the market went down, they piled out.

  • When the fund outperformed, they piled in.

  • When the fund underperformed, they piled out.

  • And they took an 18% annual gain and turned it into an 11%

  • annual dollar-weighted loss--

  • why?

  • Well, to beat the market, if you're beating by 18 points,

  • you're doing something different than the market.

  • You're going to zig and zag differently.

  • You can't do the same as the market.

  • You have to do something different.

  • You're going to zig and zag differently.

  • Institutional managers are no different.

  • Here are the stats on the-- if you just took a look at the top

  • institutional managers for that decade, the ones who--

  • 2000 to 2010-- the top-quartile managers,

  • the ones who ended up with the best 10-year record,

  • here are the stats on them.

  • 97% of those who ended up with the best 10-year record,

  • top quartile, spent at least 3 of the 10

  • years in the bottom half of performance--

  • not shocking, but everyone, right?

  • To beat the market, you have to do something different.

  • You're going to zig and zag differently.

  • 79% of those who ended up with the best 10-year record

  • spent at least 3 of the 10 years in the bottom quartile

  • performance.

  • And here's the stunner--

  • 47%, roughly half of those who-- they ended up with the best

  • record, but they spent at least 3 of those 10 years

  • in the bottom decile, the bottom 10% of performers.

  • So you know no one stayed with them,

  • but they ended up with the best record.

  • So it's very hard to pick an allocator,

  • because you don't know the thesis,

  • so you're using past returns.

  • But when you do that, all you're doing

  • is chasing your tail, going in and out at all the wrong times,

  • So it's very hard.

  • What a good allocator--

  • usually an institutional allocator, and there

  • are a few of them--

  • should be looking at process, and do you

  • stay with your process.

  • But of course, there's agency problems

  • on the side of those people allocating,

  • because even if you're on a really good investment board,

  • and you're an allocator, and you're head of US equities,

  • or you're head of alternatives or bonds,

  • or whatever it might be, you have a benchmark.

  • And if you haven't beaten your benchmark for the last three

  • years, I'm not saying at the good places,

  • they throw you out.

  • But I am saying they don't throw you a parade, OK?

  • So it's very, very hard on that.

  • So one thing you could do is do it yourself.

  • And I wrote this other book that you have,

  • "The Little Book That Beats the Market."

  • And I just did a simple formula that

  • sort of was like the jellybeans, counting the rows,

  • going across, and just picking the cheap companies to buy,

  • very simple.

  • And I wasn't running outside money at that time

  • that I wrote the book in 2005--

  • just wrote up the very first study we did

  • of doing something cheap and good.

  • Businesses just made it pretty easy

  • for you to buy a handful of those.

  • And I kept getting phone calls-- hey,

  • could you just do this for us?

  • And so what I did was I set up a website

  • that listed the top stocks.

  • It's still going around, MagicFormulaInvesting.com.

  • And people said, yeah, that's fine.

  • But could you still do this for us?

  • So I set up something called formula investing.

  • And I gave people two choices.

  • I said, well--

  • I sort of viewed it as a benevolent brokerage firm.

  • I said, listen, we'll let you do this yourself.

  • But you have to choose from this top list of 30 or 50 stocks,

  • and you have to choose at least 20 of them, OK?

  • Stay out of trouble, and you're supposed

  • to invest every quarter, update your portfolio,

  • and just mechanically do this.

  • You don't have to buy everything,

  • but you have to buy at least 20.

  • And then the person who was running this

  • for me said, you know what?

  • How about you just add a check box which said,

  • just do this for me, just automatically buy it.

  • So just as an afterthought, I said fine.

  • We'll do that too.

  • So we ran this for a couple of years,

  • and let me tell you the results.

  • The people who chose their own stocks

  • from the pre-approved list of the top stocks,

  • they did pretty well.

  • For the two years, they were up 59%, roughly.

  • Unfortunately, the S&P was up 62% during those two years.

  • The automatic, just do it for me-- that was up 84%.

  • So the automatic had beaten the--

  • in other words, just buying the list

  • had beaten the market by 22 points.

  • But by giving people any discretion,

  • even though the list was pre-approved, just by picking

  • and choosing the ones that they didn't like-- but they had

  • to buy at least 20-- they had managed

  • to take a 22% out-performance in a couple of years,

  • which is pretty good, and turn it into a 3% under-performance.

  • So do-it-yourself-- I wrote a piece for Morningstar

  • called "Adding Your Two Cents May Cost You a Lot."

  • And so I just wanted to caveat that.

  • So another way-- let's see, I'll do this fast.

  • I wrote a book [INAUDIBLE] mentioned, called "You

  • Can Be a Stock Market Genius."

  • World's worst title of all time, but in it,

  • it said sort of what Warren Buffett calls,

  • why don't we look for one-foot hurdles, OK?

  • And I opened the book with a story about my in-laws,

  • who used to spend--

  • they had a house in Connecticut, and they

  • used to spend the weekends going to yard sales and country

  • auctions looking for bargains, OK?

  • Paintings or sculptures-- they were art collectors.

  • And I described what they were actually doing.

  • And they were not going to these yard sales and country

  • auctions looking for--

  • seeing a painting that was discarded, saying,

  • this guy's the next Picasso.

  • That's not what they were doing.

  • What they were looking for are pieces of art or sculpture

  • that they know the artist.

  • Some of his similar work had just

  • gone for auction for a lot more than they could buy it for,

  • right?

  • They could buy it for 30 or 40 cents

  • on the dollar for what it just went to auction for.

  • That's a lot different question.

  • And so what "You Can Be a Stock Market Genius" was,

  • was showing you these areas that are ignored.

  • These are the country auctions and the yard sales

  • of the investment world.

  • And these were--

  • I talked about different areas, spin-offs, bankruptcies,

  • small-cap stocks, companies going

  • through recapitalizations, anything

  • weird, complicated situations.

  • So that's another way, but you guys have a full-time job.

  • That is a full-time job, let me tell you--

  • that's a full-time job.

  • So right now we run mutual funds.

  • I can just tell you some of the struggles

  • that we have with investors.

  • We do follow that chart, choose from the 2,000 largest

  • companies, and we've had a nice record.

  • But there are years like 2015 where

  • there's a benchmarking issue, meaning the S&P 500 in 2015

  • was up roughly 1.3%.

  • The equally weighted Russell 2000 was down 10.

  • The equally weighted Russell 1000 was down 4.

  • So if you're picking from roughly the 2,000 largest

  • stocks, an even performance would be down 6 or 7,

  • not up 1.3.

  • So there's a benchmarking issue, but to beat the market,

  • you have to do something different.

  • You're going to zig and zag.

  • Everyone knows that.

  • We're now working on something-- we've

  • had something open a couple of years

  • where we sort of say, OK, we'll start with the benchmark,

  • and then we'll value-add.

  • And we'll make some compromises so that we don't--

  • it's called Index Plus--

  • and so that we don't vary too much from the index.

  • So you can stay with us, and the thesis was basically--

  • the best strategy for you, which is

  • how I'll end before I take questions,

  • is not only one that makes sense,

  • but one you can stick with, OK?

  • So you have to understand what you're doing, number one.

  • If you give it to someone else, you

  • have to understand what they're doing.

  • And you have to be able to stick with it,

  • so you have to understand it well enough to stick with it.

  • So that's, I guess, before I take questions

  • what I will leave you at.

  • And maybe [INAUDIBLE]--

  • SPEAKER: Yeah, thank you so much.

  • That was great.

  • [APPLAUSE]

  • So let me set up the chairs.

  • So thanks again.

  • In reading your magic formula book,

  • "The Little Book That Still Beats the Market,"

  • I noticed that you mentioned that there were questions

  • about whether one should short stocks, the most expensive

  • ones, through the same metrics.

  • And you had, I guess, not explicitly said

  • that that's the way you'd want to go.

  • And correct me if I'm mistaken.

  • And then you started the formula investing funds as well, which

  • you alluded to in your talk.

  • However, what has happened to them?

  • Are they still continuing, and what's

  • your vision for that going forward?

  • JOEL GREENBLATT: Sure, we opened long-only funds,

  • called formula investing.

  • And we just merge them with our long-short funds.

  • So we have long-short funds that run 100% net long.

  • But when we looked at their performance,

  • we did better in up markets with the 100%

  • long, long-short funds.

  • We had a long-short overlay in up markets and down markets.

  • Pretty much, we never did better the other way.

  • And so we just merged our simple 100% long

  • into the 100% long that also did long-short.

  • So it was just a matter of trying

  • to put our best foot forward and managing the things.

  • We actually-- we had just been rated the number-one fund,

  • had gotten five stars from Morningstar

  • for our formula investing fund, and we closed it.

  • And we merged it with our long-short funds.

  • It wasn't really a business decision.

  • It was really a decision that we want

  • to put our best foot forward.

  • And so that's why we did that.

  • SPEAKER: So when you talk of long-short,

  • how do you decide between 1/70/70 distribution or 1/40/40

  • distribution.

  • When you're saying you're net 100% long,

  • how do you come at what the ratios should be?

  • JOEL GREENBLATT: Sure, so what [INAUDIBLE]

  • is mentioning is that-- well, what he means is,

  • let's say you give us $1.

  • We'll go buy $1 of our favorite stocks.

  • Then we'll go out and buy $0.70 more of our favorite stocks,

  • but this time we'll pair them with $0.70

  • of our least-favorite stocks.

  • We'll short them, so we'll be 70 long and 70 short,

  • and so another bucket to add return.

  • And why isn't that 40/40?

  • We picked ratios for most of our funds

  • that we thought made sense, given how much volatility you

  • added by the amount of leverage you're adding

  • and the amount that you're shorting.

  • There's not a big magic to it.

  • Something that worked well at $1 long with 70/70 or 40/40--

  • they both work well.

  • In our large-cap universe, we give people choices.

  • SPEAKER: Mm-hmm-- so Joel, there are

  • a bunch of questions around the same theme.

  • I guess we can sort of package them into one.

  • People are curious to know, what do you think of the market's

  • valuation today?

  • Where do you see value areas today?

  • JOEL GREENBLATT: Well, the benefit of having--

  • we have a big research team, and we have a lot of history on--

  • if you want to think of the S&P 500, those 500 companies.

  • So we actually go back 25 years and look

  • at each individual company every day for the last 25 years

  • and aggregate them in the weights of the S&P 500.

  • So what that allows us to do is go look at today--

  • where's the valuation of the S&P 500 today, contextualized,

  • versus the last 25 years?

  • And so what I can tell you is, we're in the 17th--

  • it's not a prediction.

  • I'm just giving you some facts.

  • The way we value companies, we're

  • in the 17th percentile towards expensive

  • over the last 25 years.

  • That means the market's been cheaper 83% of the time,

  • more expensive 17% of the time.

  • When it's been here in the past, year-forward returns

  • haven't been negative.

  • During that 25 years, the market's been up about 10%

  • a year.

  • So right now from these valuation levels,

  • what's happened in the past--

  • over the next year, up 3% to 5% on average;

  • over the next two, up 8 to 10, so like I said,

  • not a prediction.

  • But if you want to know what has happened to stock prices

  • from similar valuation levels over the last 25 years,

  • that's what's happened--

  • 3% to 5% positive return on average over the next year,

  • and 8 to 10 over the next two.

  • SPEAKER: So there's one question around what you

  • were doing in the first 10 years of investing,

  • when I think you averaged 40% to 50% annual gains after fees.

  • Correct me if I'm wrong.

  • What was the strategy that you and Rob Goldstein

  • were following in those days, and what parts of that

  • are actionable for the individual investor,

  • compared to the Index Plus strategy?

  • JOEL GREENBLATT: Sure, so stock investing is figuring out

  • what a business is worth and paying less,

  • and so that hasn't changed.

  • What makes a company worth something

  • and what makes it cheap relative to that

  • is pretty straightforward.

  • That's sort of Ben Graham-- figure out what it's worth,

  • pay a lot less, leave a large margin

  • of safety between those two.

  • Warren Buffett added a little twist

  • that made him one of the richest people in the world.

  • He simply said, if you can buy a good business cheap,

  • even better.

  • If you read through Buffett's letters,

  • it's very clear what he's looking for--

  • first thing he's looking for, anyway,

  • is businesses that are in high returns, we call it,

  • on tangible capital.

  • And that just means every business needs working capital.

  • Every business needs fixed assets.

  • How well does it convert its working capital

  • and fixed assets into earnings?

  • So the example I used in "The Little Book," which I really

  • wrote to explain these kind of concepts to my kids--

  • I said, imagine you're building a store,

  • and you have to buy the land, build the store,

  • set up the display, stock it with inventory.

  • And all that cost you $400,000.

  • And every year, the store spins out $200,000 in profits.

  • That's a 50% return on tangible capital.

  • Maybe I should open more stores--

  • not so many places I can reinvest

  • my money at those rates.

  • Then I compared it to another store.

  • Remember, I wrote this for my kids.

  • And I called that store Just Broccoli.

  • It's a store that just sells broccoli,

  • and it's not a very good idea.

  • Unfortunately, you still have to buy the land, build the store,

  • set up the display, stock it with inventory.

  • That's still going to cost you roughly $400,000.

  • But because it's kind of a stupid idea

  • just to sell broccoli in your store,

  • maybe it only earns $10,000 a year.

  • That's a 2 and 1/2% return on tangible capital.

  • And all I simply say is, I'd much

  • prefer to own the business that can reinvest its money--

  • all things being equal, much prefer

  • to own the business that can reinvest

  • its money at high rates of return

  • than much lower rates of return.

  • And so that's sort of the Buffett twist

  • that we incorporate in the companies that we invest in,

  • by being very tough on the way companies

  • earn and spend their money.

  • So we tend to get a group of companies

  • that are not only cheap, but also deploy capital well.

  • And that's really what we're looking for.

  • So we've always done that.

  • "The Little Book" was more of a way to systematize that.

  • But in "You Can Be a Stock Market Genius," which--

  • what did we do in the first 10 years?

  • I wrote a book about it.

  • It was "You Can Be a Stock Market Genius."

  • It was looking for off-the-beaten-path,

  • more complicated things that other people weren't looking

  • at.

  • Something strange or different was going on.

  • I showed people nooks and crannies

  • in the market, where they could look for those.

  • The issue there-- and there is no issue.

  • It's a great business.

  • But our portfolios were 6 or 8 names,

  • were 80% of our portfolio.

  • We returned half our outside capital after five years.

  • SPEAKER: Five years.

  • JOEL GREENBLATT: We returned all our outside capital

  • after 10 years--

  • SPEAKER: 10 Years.

  • JOEL GREENBLATT: Between '85 and '94--

  • we were lucky enough to have enough money to keep our staff

  • and continue to run our money thereafter.

  • Warren Buffett said a fat wallet's

  • the enemy of high investment returns.

  • And so when you have a very concentrated portfolio,

  • and you're looking off the beaten path, where there

  • are smaller situations and things that are more obscure,

  • you're very liquidity-constrained.

  • That's why we kept returning money,

  • but that's not why we're doing what we're doing now.

  • If you're going to run other people's money,

  • this is what I'll tell you with a portfolio that

  • has 6 or 8 names that are 80% of your portfolio.

  • Every two to three years, usually within two, Rob and I--

  • my partner, Rob Goldstein, and I would wake up,

  • and we'd find out we just lost 20% or 30% of our net worth.

  • And that happened like clockwork every two or three years--

  • just always happened.

  • It has to happen with a concentrated portfolio,

  • either because we were wrong on one or two of our picks,

  • or market--

  • they were out of favor for some period of time.

  • And maybe it bothered us, maybe it didn't if we just

  • had to be patient.

  • But I would say for outside, when

  • I was talking about people going in and out of funds

  • and losing their turn, that is not conducive for other people,

  • especially if they're not doing the work.

  • It was OK for us, and I think it was good for us

  • because we knew what we owned.

  • And so as long as the facts hadn't changed, and as long

  • as we believed in our thesis, we could take that.

  • I wouldn't say it was easy, but we could take that.

  • Now, our bad days, we have hundreds

  • of stocks on the long side and hundreds

  • of stocks on the short side.

  • We're trying to be right on average.

  • We're buying cheap, good companies.

  • We're shorting companies that are

  • either destroying capital, or losing money,

  • or whatever it is.

  • And over time, that pays off.

  • But our bad days, with hundreds of stocks on the side,

  • are 20 or 30 basis points of under-performance, not 20%,

  • 30% of our net worth.

  • And so I think for most people, it's a smoother ride.

  • And one of the great lessons that young investors--

  • and a lot of you guys are still very young--

  • can learn are the compound interest tables.

  • If you can make mid-teen returns--

  • wouldn't make 40% or 50% annualized returns,

  • but in mid-teens returns, if you know compound interest tables,

  • you can do very well with a smoother ride

  • over a long period of time.

  • One of the best examples-- and when I taught those

  • ninth-graders, I actually put on the outside

  • of their notebooks--

  • I handed them notebooks.

  • And I on the outside, I had a compound interest table.

  • And it had the example of starting investing $2,000

  • a year when you're 19, in your IRA, until you're 26--

  • so seven years of putting away $2,000--

  • and never putting another nickel in again,

  • or starting when you're 26 and putting in $2,000

  • a year for 40 years, until you're 65.

  • So the people who put in $2,000 a year from age 19 to 26

  • and never put in another nickel ended up with more money

  • if you earn 10% a year on that money.

  • They ended up with more money with those seven payments

  • than the people who start at 26 and put in 40 payments,

  • till they were 65.

  • You end up with more money, the 19 to 26--

  • just a very important lesson to learn about starting early.

  • I know all of you are over 19, so I'm

  • sorry I didn't tell you this.

  • [LAUGHTER]

  • But these kids weren't, and so compound interest tables

  • are important.

  • So you're young-- if you stay with a very methodical

  • investment strategy that makes sense over time,

  • you can all still do very, very well.

  • SPEAKER: So, Joel, thanks.

  • You've talked about the size effect, right?

  • Going into hidden places and obscure areas as well--

  • you also talked about the temperamental edge

  • that you can bring to the process of investing.

  • And then there is something to say about the analytical

  • and the informational edge.

  • And there used to be a lot of investing in net nets payback.

  • And do you think some of these edges

  • have become less relevant, versus more relevant,

  • over time, with information becoming almost universally

  • accessible?

  • JOEL GREENBLATT: Well, information--

  • people have information on the S&P 500 stocks.

  • There's still a lot of group-think going on.

  • What I tell my students is, some of these smaller cap--

  • you know what happens if you're very good at doing things,

  • like you read "You Can Be a Stock Market Genius"

  • and buy some of these things in these obscure places.

  • And what I would call it is taking unfair bets,

  • not because you're so smart, but because you found it in a place

  • that other people aren't looking.

  • What happens to people who get good at that is they

  • get a lot of money, and then they

  • can't do that anymore because they have too much money.

  • So it opens a whole new area for young people

  • to keep coming into that.

  • So certainly, some of the smaller situations

  • will always be there.

  • Things may be a little more efficient,

  • But there have been plenty studies that--

  • one of the big chapters I wrote was on spin-offs,

  • which are companies that are sort of separated from--

  • and those still work very well.

  • But it sort of misses--

  • they've studied, if you bought all of the spin-offs,

  • how would you do?

  • And they continue to outperform.

  • That's not really the question.

  • The question is, is this an area ripe for mispriced securities?

  • If the average spin-off did average,

  • that wouldn't mean anything to me.

  • You're looking for the opportunity

  • where people are discarding things

  • or are just not interested in things

  • for reasons that don't have to do with the investment merits.

  • They may be too small.

  • It may not be the company that the people who owned

  • the original stock invested in.

  • Usually, you discard companies that are out of favor

  • at that time.

  • So even though on average, they've

  • continued to outperform pretty much as

  • well as when I wrote the book--

  • so that's not discouraging.

  • But even if they did average, they still

  • are ripe for mispricing, really what I'm looking for.

  • So you're looking in these areas that are ripe for mispricing.

  • You don't have to run a statistical model to decide

  • whether, on average, they do well or they don't.

  • If you know what you're looking for,

  • you're looking for opportunities to find

  • things that are mispriced.

  • And I don't think those will go away.

  • But as I said, there are higher and better uses

  • for most people's time.

  • So I had a ball doing that.

  • I have a ball doing what I'm doing.

  • If you don't want to do it, fine with me.

  • SPEAKER: In one of your recent interviews,

  • I think you mentioned Apple, one of the big companies.

  • And you think group think and mispricings can happen even

  • in big companies.

  • So maybe Apple or some other company--

  • I was wondering if you could take our audience

  • through an example of, what are the metrics one

  • should be looking at if they were looking at a company?

  • JOEL GREENBLATT: Well, I'll pick Apple as just big, big picture.

  • You guys have heard of that?

  • [LAUGHTER]

  • So at least I'm old enough to have had a BlackBerry.

  • And it used to have 50% of the market.

  • Now it doesn't really exist.

  • It wasn't that long ago.

  • And the vast majority of Apple's profits come from their phone.

  • So that's the negative story on Apple--

  • it's a hardware company.

  • It's going to crash and burn like all of them do, OK?

  • On the other hand, some people might say, oh,

  • it has an ecosystem of products that play off one another.

  • They interact with one another.

  • It has a brand.

  • I always say, hey, Coca-Cola doesn't make sugar water,

  • and they have kept their brand pretty well.

  • People tend to like Apple as a brand.

  • And so the question is, which is it?

  • Is Apple a hardware company, or is it

  • an ecosystem of products with a great brand name?

  • I'd say the answer is probably gray, somewhere in between.

  • It's not either one.

  • It's probably somewhere in between those two.

  • But if you took a look at the market,

  • I can look at where the S&P is trading.

  • I can look where Apple's trading.

  • And a few months ago-- it's still very cheap,

  • but a few months ago, it was trading at less than half

  • of the valuation of the S&P. So at a price,

  • my answer is, if it's somewhere in between,

  • I'd say it's probably better than average.

  • And I'm getting it at half price.

  • I don't know if that's right, but I

  • have a large margin of safety.

  • I own hundreds of--

  • what I say is, what we do now is,

  • I don't know the answer to your question.

  • It's gray.

  • I don't know the answer.

  • I don't know if it's closer to a hardware company.

  • I don't know if it's a ecosystem with a brand attached,

  • and so it's much, much better.

  • But interest rates are 2%.

  • It's got a 10% free cash flow yields,

  • earns high returns on capital.

  • It's got a great niche.

  • What I would say is, I don't know if Apple's going to work,

  • but I don't own just Apple.

  • I own a bucket of Apples.

  • I own a bucket of companies with metrics

  • like that-- trading really cheap, with deploys capital

  • well, with nice potential prospects.

  • And so I don't know if Apple's going to work.

  • I know my bucket of Apples is going to work.

  • That was the chart I showed you.

  • And so we own the bucket of Apples.

  • But if you ask my bet on Apple, I

  • think it's cheap, relative to other choices right now.

  • SPEAKER: Fantastic, I just have a couple of questions,

  • Joel, quickly.

  • You mentioned index fund in the beginning of your talk.

  • With all the money flowing into passive funds, ETFs,

  • and index funds, what would be your contrarian moves

  • during a period like that?

  • Are there things investors should be cautious about,

  • for example?

  • JOEL GREENBLATT: Well, I told you

  • where I thought the market in general--

  • it's a market cap weighted index, S&P 500 was expensive,

  • but still expecting positive returns going forward.

  • It's a world of alternatives.

  • So the question is, how should I invest my money?

  • The move to passive can, with all the ETFs and everything

  • else, can cause dislocations in the short term,

  • because people are not discerning.

  • Remember, I said stocks are not pieces of paper

  • that bounce around, that you put Sharpe ratios and Sortinos on.

  • They're ownership shares of businesses, and businesses--

  • there's a dispersion in their fundamentals, how one is doing,

  • versus another.

  • When you just take an ETF and don't

  • discern between the differences in the fundamentals,

  • that can cause dislocations in the short term.

  • That just makes me smile more because those dislocations

  • mean, hey, I can find bargains because people

  • stopped thinking.

  • But I don't think they're at such an extent,

  • other than in the short term.

  • I think you're familiar-- when the market falls,

  • and everyone gets depressed all at once,

  • they say correlations go to 1.

  • That just means everyone throws the baby out

  • with the bathwater.

  • They make no discernment.

  • But that really just happens for the first month, maybe two

  • at the most.

  • And then there starts to be discernment.

  • That's actually the best opportunity time for us,

  • when people start discerning again.

  • And you just had everything move together, which it shouldn't.

  • They all have different prospects.

  • And so the same with ETFs, if there's flows

  • into them or the indexes--

  • that could cause short-term dislocations

  • over a month or two, but those get corrected over time.

  • Like I said, the market eventually gets it right.

  • There's a lot of--

  • just think of the jellybeans.

  • You really get it.

  • It's the jellybean effect of when everyone hears

  • what everyone else is thinking.

  • That happens most of the time.

  • That's what the stock market is.

  • Your job is to be cold and calculating and unemotional.

  • Unfortunately, people are human.

  • It's good news for us, but people--

  • the stats are against you.

  • That's why I think the indexers get

  • it right for the wrong reasons.

  • They mostly are saying the market's

  • efficient and have other explanations of why

  • you can't beat it.

  • I think the market often gives you opportunities,

  • but it's very difficult to take advantage of them

  • for behavioral and agency problems.

  • And those are much more powerful than you

  • would think by just saying, oh, behavioral and agency problems.

  • The people are people, and it's been happening forever.

  • I don't think it's getting better.

  • I think time horizons are shortening.

  • There's so much-- all that data, all that-- look,

  • when I started my first firm in 1985,

  • I used to write quarterly letters.

  • And they read something like this--

  • we were up 3% last quarter, thanks a lot.

  • That's what it sort of said.

  • Now we have $10 and $20 billion endowments that

  • need to get our results weekly.

  • I don't know what they do with them.

  • [LAUGHTER]

  • But we now have to do that, and most of them

  • do a good job with it.

  • But that's just the way of the world.

  • So if you keep measuring things in shorter periods,

  • and you can measure them, and there's more data,

  • it doesn't make it better.

  • It makes you more susceptible to emotional influence.

  • So that world's getting better.

  • The last man standing is patience.

  • We call it time arbitrage.

  • Other people call it time arbitrage-- just being patient.

  • That's in really short supply, and it's not getting better.

  • Things are moving to faster and less patience.

  • So that's really the secret.

  • So now you don't have to even read

  • the big secret [INAUDIBLE].

  • SPEAKER: I think one fantastic gift you've

  • given to the value investing community

  • is the Value Investors Club.

  • I'm sure most people here have already visited the website.

  • If you have not, please check it out.

  • It's an amazing resource.

  • Joel, if you could maybe just say

  • a word about the Value Investors Club, what's

  • your vision with it going forward?

  • And how does it compare or contrast it

  • with other investing platforms that are emerging these days?

  • JOEL GREENBLATT: Sure, well, it originally started in 1999.

  • And the whole big thing with the internet

  • back then was getting millions of eyeballs to look.

  • And I viewed it more as a, wow, I always wanted

  • to be in an investment club.

  • And I thought, hey, I could form an investment club where

  • you can meet any time, at your convenience,

  • wherever you are, were, and share ideas

  • and back and forth about it.

  • And I'm always grading papers at Columbia for my students.

  • And at the time, there were Yahoo message boards

  • where 99.9% of the stuff was not worth reading.

  • So I sort of said, hey, why don't we--

  • along with my partner John Petry,

  • I said, why don't we vet the people who can join the Value

  • Investors Club?

  • And if you would have gotten-- maybe two or three people

  • in the class each year would get an A-plus.

  • And if you could write up an investment thesis

  • that I would have given an A-plus to in my class,

  • you can join the club, and it's free.

  • The only thing that you have to do is share your best ideas.

  • You have to share a couple of your best ideas

  • during the course of the year, and that

  • entitles you to see everybody else's good ideas.

  • And so it's just merit based.

  • And still only 1 out of 20 applicants

  • get in, so I think it's a little harder than Harvard.

  • I don't know.

  • [LAUGHTER]

  • But it's been going now for 16 years.

  • We do have a--

  • I think it's a 45- or 90-day delay

  • that if you're not a member, but to get the live stuff,

  • you have to be a member.

  • So learn how to value a business and apply, if you like.

  • There are instructions on the website.

  • It's called the Value Investors Club.

  • But as a learning tool, I always refer people there

  • because these are very smart investors.

  • They beat each other up.

  • There's a Q&A after they post something, and say,

  • what about this?

  • What about that?

  • A great rating out of 10 is 5, because everyone's

  • mean and very--

  • they're value investors.

  • They're very tough and stingy.

  • And so they don't--

  • so if you look at the ratings and see anything a 5 or above,

  • that's good, these guys.

  • And you can look at that.

  • It's just a learning exercise, right?

  • It's teach a man to fish.

  • That's really how to be good at investing.

  • It's not anything else.

  • You've got to understand what you're doing.

  • It's a great way to learn.

  • So I think for the next generation,

  • it's a nice way to teach them to look

  • at what smart investors are doing now--

  • doesn't mean I agree with everything on the site.

  • And this is a good point.

  • I'm probably wrong more than I'm right about passing on things.

  • But Warren Buffett calls it no called strikes on Wall Street.

  • You could let 100 pitches go by, and you

  • should've swung at 30 of them.

  • But if you only pick one, and you

  • make sure that's a good one, that's really the way

  • that we go about investing.

  • I just have to--

  • my partner Rob Goldstein and I are very tough on each other.

  • So we both have to like it.

  • We both have to argue our points.

  • And if we both like it, we think it's pretty good.

  • So we're really, really picking our pitches.

  • It doesn't mean we don't miss a lot of good ones.

  • It doesn't matter if we miss them.

  • It just matters the one we pick are good.

  • And that's sort of the way to think

  • about "You Can Be a Stock Market Genius" type of investing.

  • What we're doing now in our long-short portfolios

  • is more being right on average.

  • I showed you that chart where we're pretty

  • good at valuing businesses.

  • So we buy a group of businesses where

  • we have a bucket of Apples.

  • And we're short a bucket of high-priced companies.

  • We're going to be short some things that lose money,

  • or the Teslas and Amazons of the world, who are selling

  • at 100 times free cash flow.

  • And people get confused, because I call that

  • the tyranny of the anecdote.

  • It's we will short some wrong ones.

  • We won't short much of them, but we'll short some,

  • and we'll be wrong.

  • And you'll know their names because those were the winners.

  • But if you're short hundreds, take my word.

  • It's not a good idea to eat through cash,

  • or lose money, or sell at 100 times free cash flow.

  • And usually, if you're generating lots of cash,

  • and you can buy that cheap, and they're

  • deploying their capital well, that's a good thing to do.

  • And so we're just trying to be right on average.

  • Two different ways to do it, doesn't make

  • one better than the other--

  • there are different ways to make money.

  • I love them both, would do both again.

  • They're just both full-time jobs.

  • SPEAKER: Great-- and, Joel, our final question

  • goes maybe one step ahead into valuation.

  • In your books you've spoken about different kinds

  • of multiples that are used to value companies.

  • You've spoken about enterprise value to free cash flow,

  • for example EV to EBITDA is one of those multiples.

  • And lots of such multiples, you say,

  • have been proven effective for long-term investing,

  • as you're buying a bucket or a basket.

  • However, the question is, due to the lack of a single source

  • of accurate benchmark markets-- because there are one-off

  • charges and things you have to clean up for--

  • there are many sites on the web claiming

  • a wide range of numbers, some good, some not so much.

  • Have you thought of having a standardized, maybe

  • open-source, implementation to benchmark these metrics

  • over the long term, in the same spirit of magic formula

  • investing, for example?

  • JOEL GREENBLATT: OK, I think I'm a nice guy, but not that nice.

  • [LAUGHTER]

  • So we have a team of analysts.

  • We go through every balance sheet, income statement, cash

  • flow statement in the companies we look at.

  • What's that deferred tax asset, or pension liability, or off

  • balance sheet plant in Taiwan?

  • How should we handle that?

  • How efficient are they at using and spending money?

  • We do all that work.

  • When I wrote "The Little Book," I

  • called that the Not Trying Very Hard method.

  • It worked incredibly well using rough metrics--

  • the type you're talking about, Rough metrics--

  • and it worked incredibly well.

  • My partner Rob and I looked at each other and said,

  • this not only worked well.

  • It worked much better with those, not trying very hard,

  • than we even thought.

  • Can we improve on that?

  • We actually know how to value businesses.

  • Can we just go do that?

  • And we put together a research team, and we do that.

  • It would be really nice if I shared that with everyone,

  • but it's a lot of work.

  • And the other way works incredibly well.

  • SPEAKER: You're a nice guy.

  • [LAUGHTER]

  • JOEL GREENBLATT: I am a nice guy,

  • and so we're trying to treat our clients really well.

  • [LAUGHTER]

  • SPEAKER: On that happy note, thank you so much, Joel.

  • It's been a pleasure.

  • JOEL GREENBLATT: Thank you very much.

  • Thank you.

  • [APPLAUSE]

[MUSIC PLAYING]

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A2 初級 美國腔

喬爾-格林布拉特:"戰勝市場的小書"|在谷歌的演講。 (Joel Greenblatt: "The Little Book that Beats the Market" | Talks at Google)

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    Allen Ho 發佈於 2021 年 01 月 14 日
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