Episode 102 has a radio show format. In this one, we cover Meb’s Tweets of the Week, some write-in questions, Twitter questions, and our first-ever call-in question.
We discuss the “Stay Rich” portfolio, and the unfortunate reality that even the safest portfolios can suffer ~25% drawdowns.
Next, there’s discussion of stock buybacks and a recent push from Senator Tammy Baldwin to introduce a bill that would prohibit companies from repurchasing their own shares (she claims it’s exacerbating the wealth gap).
Then, with volatility showing some life in the market, there’s discussion of volatility clustering. Next up is the investing service, Robinhood, which is now referring to calls and puts as “going up” and “going down.” Also, an ETF for companion pets filed by Gabelli.
We then dive into questions. Some that you’ll hear Meb address include:
All this and more in Episode 102.
In Episode 101, we welcome the great educator, Paul Merriman.
We start with Paul’s background; specifically, the story of an early trading experience with commodities. He doubled his money in days…and then lost everything on the very next trade.
Then the guys dive in, with Meb bringing up something Paul wrote called “The Ultimate Buy & Hold Portfolio” and asking for more detail. Paul starts with the S&P which, even with all its up-and-downs, has done great over the years. But then he walks us through some tweaks – adding large cap, then small cap – he notes the various percentage returns added by each, as well as the effect on volatility. He eventually arrives at a final portfolio, showing us the power of this diversification.
Meb points the conversation toward the behavioral benefit of diversification and says how some listeners will wonder how much money to put into each of the asset classes Paul had identified. Paul tells us he originally put 10% into 10 different asset classes – after all, if each asset class is worthy, then he wants it to be in his portfolio; especially because there’s no way to be certain which one(s) will shine going forward.
Agreeing, Meb touches on being “asset class agnostic” and notes that the problem with being, say, a “gold guy” or any die-hard type of investor, is you get wedded to that asset class. This emotional bond can lead to bad behavior. This leads to a discussion about implementation and the challenges of emotional investing. Paul tells us “I don’t want my emotions to have anything to do with how (my) money is managed.”
The conversation drifts toward the benefits of investing early, yet the challenges of educating young people as to its importance, as well as different investing needs over a lifetime. The guys note how the best thing for a young person would be the markets tanking for 10 years. Of course, that would be terrible for an older investor in/near retirement. This bleeds into a conversation about formally educating the younger generation about investing.
A bit later, Meb asks about the older investor who might have been burned in ’08, is now near retirement, thinks the U.S. market is expensive, yet needs results. What about him? Paul walks us through the realities of losses and gives us his overall thoughts. This morphs into a common question we get – invest everything at once, or drip it in over time? Paul has some thoughts on how to do this in a way that balances math and emotions.
There’s tons more in this episode (it’s one of our longest to date): the challenge of investing in the “shiny object”… how to avoid getting screwed by your advisor… investment newsletters… buy-and-hold versus market timing… the critical nature of understanding past performance… giving money to grandkids… and of course, Paul’s most memorable trade; his involves the ’87 crash.
What are the details? Find out in Episode 101.
To celebrate the milestone of reaching 100 episodes, we’re thrilled to welcome Professor Elroy Dimson, author of Meb’s favorite investing book of all time, Triumph of the Optimists.
Per Meb’s request, Elroy starts by giving us a summation of his research history which led to Triumph of the Optimists. He had a heritage in producing indexes and began reaching out to researchers across the globe in hopes of accessing different data sets. Looking at all the aggregated data, it became clear that from a long-term perspective, people who had invested in risky securities at the beginning of the century had done very well. People who had bought bonds and T-bills had not performed as well. The optimists had triumphed.
Next, Meb brings up a quote from Elroy about a controversial finding regarding the lack of correlation between economic growth and stock market performance. If anything, the relationship was reverse. Elroy expounds upon this, telling us that if it’s obvious that a market is growing, that’s public information. You can’t trade that since everyone else knows too. So, if you investing in countries where GDP has been growing, that could mean you’re too late.
Meb steers the conversation toward valuation, market cap weightings, and home country bias. Elroy walks us through the market cap concept, touching on the historical Austrian empire as well as the Japanese bubble. This leads to a lesson in finance, which includes real yields today, the Gordon Model, the multiple people are willing to pay today (which is higher), and the takeaway that “high valuations don’t necessarily mean that we’re going to see asset prices collapse” – they’re a reflection of the low interest rates we have today.
Meb asks about bonds, and whether Elroy has seen another historical period of negative yielding sovereigns. When you look at real rates, how does it play out for future returns?
Elroy tells us that real (inflation adjusted) rates are better to consider than nominal rates. And it turns out, real rates have been lower. Negative real rates are not all that rare – what is rare is so many countries experiencing them at the same time. This dovetails into a conversation about inflation and currency hedging. Elroy provides some color on currency issues but notes that hedging is not required if you’re a long-term investor.
There’s plenty more in this centennial episode: factors… growth stocks versus value stocks… historical returns of housing… even stamps, musical instruments and the investment returns of a good Bordeaux.
How does it compare to that of equities? Find out in Episode 100.
Episode 99 is a radio show format. We start discussing some of Meb’s “Tweets of the Week.” The first involves a presentation from Rob Arnott at Research Affiliates, which Meb considered “required reading for financial advisors everywhere.” It involves the amount of extra alpha you’d need to generate in order to offset taxes given various market approaches.
Next, we discuss another Tweet from Meb in which he asked readers to guess at the largest drawdown in US bonds in real terms between 1900 and 2010. Turns out, the majority of respondents were far off. Meb gives us the results and takeaways.
Then there’s a discussion of taxes in light of crypto gains (and losses). It seems lots of people may not be factoring tax payments into the equation. Not sure the IRS is going to look favorably on that…
We then jump into listener Q&A. Some of the questions you’ll hear answered include:
There’s plenty more, including why Meb is still very bullish on emerging markets, the realities of mutual fund investing with fees/taxes included, and Meb’s upcoming travel plans.
Check it all out in Episode 99.
In Episode 98, we welcome a true market veteran, Dr. Ed Yardeni.
The episode starts with a fun story about Ed’s school days, studying off Janet Yellen’s notes in James Tobin’s class. But Meb soon brings up Ed’s new book, Predicting the Markets. In it, he writes that if books had theme songs, the appropriate song for his would be the 80s hit, “Don’t Worry Be Happy.” Ed explains this is because, when looking back over the past 40 years, the market has been extraordinarily bullish as a whole. There were plenty of reason to worry along the way, but all in all, the market rewarded brave investors.
This eventually leads into a conversation about valuations today that appear somewhat grim, and what Ed’s thoughts are looking forward.
Ed tells us it’s okay to be bearish, but don’t forget to get back into the market. He says, “history shows the smartest thing to do is just to invest over the years as you’re getting old, keep putting more money into the markets…recognizing that sometimes you’re going to get bargains and sometimes you’re not.”
The conversation drifts toward making macro predictions and the effect of Washington DC on the market. Ed tells us we’re overwhelmed with information and news, which is all the more reason to try to find the fundamental truth that’s out there. Washington doesn’t matter as much as Washington likes to think it matters. Ed gives us more of his thoughts on the market response to Obama, Trump, and the Fed, as well as what he believes actually creates jobs.
The conversation turns toward bonds, with Meb asking why bond movements can be challenging to predict. Ed points toward inflation, taking us back to the 50s to discuss bond yields and how they’ve moved in the years since. He brings in nominal GDP and central bankers into the mix.
A conversation about negative yielding sovereigns brings various central bankers into the spotlight. Ed walks us through a look back at some of the effects of Fed involvement. He has some interesting thoughts on what the Fed does well – and not so well.
This is a great show, melding market history, implementable market wisdom, and Ed’s fascinating career. There’s way more, including where Ed sees the biggest changes coming in technology, and how it will affect markets… Ed’s favorite three indicators… which period over Ed’s 40-year career stands out the most… Ed’s movie reviews… and of course, his most memorable trade.
What are the details? Find out in Episode 98.
In Episode 97, we welcome one of the most successful syndicate leads in angel investing, Phil Nadel (he also happens to be Meb’s favorite syndicate lead on Angel List).
After Phil runs us through his background, Meb asks about Phil’s group, Forefront Venture Partners and its connection to Angel List. Phil gives us the run-through, noting how when Angel List announced its syndicate feature, he felt it was a great way for smaller angels to get involved, so he signed up. Today, he’s one of the largest/most active leads on Angel List.
Meb asks how the syndicate process works. Phil tells us that accredited investors can register and sign up with syndicate leads like Forefront. This enables them to see the deal-flow of the lead, and invest on same terms. There’s no management fee, instead, investors pay a 20% carry on the backend if there’s a profit. You can invest small amounts – sometimes as little as $1K, yet you get all the same due diligence and legal review as a big investor.
Meb notes how syndicates have removed so much of the hassle and made the entire process simpler – which is both good and bad.
Next, Meb asks about Phil’s syndicate and the average investor. Phil tells us the average investment in a company is roughly $300K. And they’ve invested in about 44 deals since inception. The average investment per person is around $4-5K. This dovetails into a conversation about how to approach angel investments. Phil tells us a “portfolio” approach is important. He’s against picking only a few companies, as most will go out of business. He tells us “if you try to pick winners, and you only invest in a handful of companies, odds are you’re going to lose your money.” Phil recommends picking companies diversified by industry and stage.
The conversation then drifts into timing. Do you invest all at once, or drip in over time? Phil gives us his thoughts. Then it’s Phil’s rule of thumb about success rates. He tells us that out of 100 investments, 70 will go out of business. About 20-30 will stagnate, or exit as a single to a triple. Maybe one or two will turn out to be home runs.
Meb asks how Phil finds his deals. Turns out, lots of referrals. The guys then dive into what Phil looks for in a company – it includes post-revenues and capital efficiency. But he’s industry and geography-agnostic. His sweet spot is a valuation in the $5-12M range.
Next up, the guys discuss KPIs, or “Key Performance Indicators.” Phil discusses burn and runway, then customer acquisition cost and lifetime value. Phil wants to see that the company knows how to acquire and monetize customers in an efficient and scalable way. He then also looks at margins.
There’s plenty more in this angel-themed episode: the extent of Phil’s involvement in a startup after funding… the critical role that updates from founders play in the startup process… some “bad investor behavior” which Phil has seen over the years… what Phil learned from Barbara Corcoran of the show, Sharktank… and of course, Phil’s most memorable trade.
What are the details? Find out in Episode 97.
In Episode 96, we welcome two of the brightest guys in real estate, Craig Leupold and Jim Sullivan of Green Street.
After touching on Craig’s and Jim’s backgrounds, the guys jump into real estate, with Meb asking about Green Street’s approach to the real estate markets (public and private) and how they think about valuation.
Craig gives us an overview, referencing Green Street’s REIT research (focusing on the public markets), their real estate analytics (focusing on private markets), and their advisory consulting group. Craig touches upon lots of ideas – understanding the value of the properties owned by the various companies… identifying the associated premiums or discounts at which the companies might be trading… a deeper dive into their real estate analytics lineup… looking at how to allocate capital…
Meb asks how the real estate world looks today, and what’s the outlook for 2018. Craig tells us that with the exception of retail real estate, most sectors are seeing increases in rents and occupancies. But fundamentals have moved from “great,” to “good,” to now, “okay.” He goes on to give us his growth forecast over the next four years, as well as what he expects for commercial pricing over the next 12 months.
When Meb brings up “returns,” the guys make the distinction between public and private markets and how there’s a divergence. Private real estate is generally fairly valued today, yet in the public market, REITs are trading at an 11% discount to their unleveraged asset value.
Jim dives into greater detail on this topic, telling us how the average REIT should trade at a modest premium to NAV. The reason for this is that an investor should be willing to pay the fair market value for the property owned by the REIT, but then there’s the added benefit of the management team and the liquidity of the REIT structure; both deserve a premium. But again, today, we’re not seeing this premium today – quite the opposite, in fact.
Meb brings up valuation, asking about how to distinguish between buying opportunities and value traps. Jim tells us it’s situational, and depends on the property type. This dovetails into a discussion about pessimism in the mall sector.
Soon, the conversation turns toward rising rates. The common opinion is that rising rates are bad for real estate, but Jim tells us it’s more complicated than that. If rates are rising due to our economy accelerating, then that could be positive for commercial real estate, leading to higher occupancies and rising rents.
There’s far more in this episode: activism in the real estate space… how the real estate market looks around the world… the challenge of figuring out what risk-adjusted returns should be in different global locations… which geographies look particularly attractive today… farmland REITs… and Craig’s and Jim’s one piece of advice to investors looking to allocate to the REIT space.
All this, as well and Craig’s and Jim’s most memorable trades, in Episode 96.
Episode 95 is a radio show format. We start with a recap of Meb’s recent travels to Nicaragua and San Francisco, but then dive into a discussion about volatility. With the VIX spiking at the beginning of the month, some short-vol funds suffered massive losses. We discuss the short-vol trade, then the long-vol trade.
Next up, Meb gives us a quick (overdue) update on his trip to see Van Simmons, including which coins he purchased. But we quickly dive into a different topic – a recent offering from Wealthfront that’s raising some questions for Meb. The conversation touches upon a risk parity market approach, robo fees, and general transparency.
We then jump into listener Q&A. Some of the questions you’ll hear answered include:
All this and more in Episode 95.
In Episode 94, we welcome entrepreneur, author, and SEC filings expert, Michelle Leder.
We start with Michelle’s background. She was a business journalist – a self-professed “document geek.” She wrote the book Financial Fine Print: Uncovering a Company's True Value and decided to launch a website as an accompaniment to the book. Here we are, 15 years later.
Meb asks Michelle to give an overview of what she’s looking for in the various filings. She tells us that changes are important. She doesn’t necessarily look closely at the numbers because it’s more about the language. Also, the forward-looking statements can be big. Michelle mentions an example of one that used a significant amount of extra language.
This dovetails into a discussion about the process – is it a keyword search or is there software? Michelle uses both, as keywords alone don’t always work. She gives the example of when Goldman Sachs was subpoenaed, the language used to describe it in the filings was something like “an invitation to respond to the DOJ.”
Meb asks for examples of red flag behavior in the filings. Michelle looks for unusual compensation or stock grant amounts. Also, lots of extra language used to describe earnings or adjusted EBITDA. She mentions a company called GT Advanced Technology, which used to be an Apple supplier. In one particular filing, they added new disclosure language, identifying their dependence on Apple, and their vulnerability if that relationship soured. Some time thereafter, Apple ended the relationship.
Next, Meb and Michelle discuss the “Friday Night Dump.” This is the 90 minutes after market close on Friday, when there’s no major trading. Companies tend to dump all their bad info here. Michelle mentions recent examples using Tesla and Wynn. But her most memorable disclosure dump was Chesapeake Energy, revealing it had paid over $12M for a map collection.
Meb asks if Michelle has ever been contacted by a company she’s profiled, trying to defend or explain itself. She mentions Dell. Apparently, the company once purchased a company from Dell’s own brother and something seemed a tad off. After Michelle covered it, Dell reached out to tell her she had gotten it all wrong.
This is a fun episode with plenty more in it – what sort of time commitment this would take the average investor… the atmospheric changes Michelle has seen in the last 10-15 years… the story of Meb stealing someone else’s disclosure language for his own blog but forgetting to remove the other company’s name…
There’s even a discussion of something Twitter did recently that grabbed Michelle’s interest. If you’re a Twitter investor, you might want to listen.
All this and more in Episode 94.
In Episode 93, we welcome entrepreneur, author, and quant investor, John Reese.
We start with John’s background. When John was a child, his father was a subscriber to Value Line, and John related to the charts and numbers. Later, this love of numbers took him to MIT, where he researched how to take the wisdom from books and turn it into computer programs. Years later, when he sold his company to GE Capital, John needed to learn how to invest the proceeds. Yet, he wasn’t sure which investment guru to follow in doing this. He decided to study a handful of gurus, and was disappointed to find that there was no repeatability and sustainability of outperformance over multiple time periods.
However, John then came across Peter Lynch’s One Up On Wall Street. In the book, Lynch had provided enough detail about his strategy that John was able to translate it into a computer program designed to pick the stocks that Lynch might have chosen. The results were solid. John then moved on to Ben Graham, eventually codifying 12 different guru strategies. He then put his research up on a website, which eventually morphed into Validea.
Meb asks about the challenges of this – namely, many managers have a qualitative component to their stock selection as well quantitative. How did John account for this?
John tells us this was very challenging. He had to re-read the various books multiple times, determining whether the printed word actually matched what the guru did in the market, versus his actions revealing more information or biases. Meb asks about filtering the incredibly long list of potential gurus to follow, and John tells us the list actually wasn’t too long. Most gurus didn’t have a sufficiently-long track record of performance, or they didn’t describe their strategies in sufficient details as to be able to be codified.
Meb then asks how John determines when a period of underperformance reveals a manager has lost his touch, versus the manager’s style is simply out of favor.
John tells us that he first looks at the length of time in which the strategy worked. If it was long enough, he tends to believe that, at some point, the strategy will come back into favor. He goes on to tell us that in all of his research, he found that there was not one strategy that outperformed the market every single year. They were these periods of going-out-of-favor that paved the way for the outperformance that occurred when the style came back into favor.
The guys then jump into an actual example of how John’s guru quant strategies work, using Buffett. Be sure to listen to this part for all the details.
Moving on from Buffett, Meb asks if there are any common attributes to the models that tend to do the best – any broad takeaways.
John tells us that, over time, the more successful strategies tend to have a value orientation, some kind of debt criteria, and they’re all profitable.
Meb asks – “Okay, gun to your head, which strategy has outperformed?” I’m going to make you listen to find out John’s answer, but odds are you’ll be surprised.
Next, the guys turn to factors, with Meb asking if there are any combination of factors that John tends to prefer. John says he likes momentum and mean reversion. This leads into a conversation on timing factors.
As usual, there’s far more in this episode: practical guidelines for listeners looking to follow along… portfolio construction in today’s challenging environment… what John would have done differently if he could start over again on Day 1… a roboadvisor for income investors… and of course, John’s most memorable trade.
This one happened the day after Black Monday. What are the details? Find out in Episode 93.
In Episode 92, we welcome investor, author, and activist, Andrew Tobias.
Meb starts by asking Andy about his background and introduction to investing. Andy gives us his origin story, with highlights including collecting stamps, an early introduction to the stock market, a trip behind the Iron Curtain which led to a brief dalliance with Communism, then his becoming a paper millionaire due to some creative accounting (then those monies disappearing). It’s a fascinating look back.
Next, Meb recalls a survey we conducted some quarters ago, soliciting readers’ favorite investing books of all time. Andy’s book from 1978, The Only Investment Guide You’ll Ever Need, turned out to be high on that list. Meb asks Andy to explain the thesis of the original book, and whether there have been any significant changes in subsequent editions.
Andy tells us “There are just a few things you really need to know about investing, and they don’t ever change. The problem is it’s hard to get people to really grab onto them.” He goes on to say that investing isn’t like cooking or chess, where the more you read/learn, the better. Instead, with investing, the more you read, the more you can get yourself into trouble. He gives us an example using commodity speculating. Given that so much about investing remains constant, Andy’s revisions in subsequent editions haven’t been too substantial.
Meb pushes a bit more, asking if there’s any subject about which Andy has changed his mind since the original publication.
Andy tells us he’s become a bigger fan of special opportunity investing. Most people aren’t looking for this type of thing. So, Andy discusses putting 80% of your portfolio into inexpensive index funds, but spreading the remaining 20% over 5-6 really interesting, exciting speculations. Most will go to $0, but maybe you hit with one or two, and those proceeds offset the losses and more. Plus, this satisfies the need to have something more exciting to do with your money.
Meb agrees with this idea, and asks about Andy’s speculative process – is it rooted in quant or is there a discretionary component? Andy answers by giving us an example with Support.com.
Next, the guys discuss valuations, comparing where we are now to where we were back in the early ‘80s. It seems we’re flip-flopped a bit in terms of interest rates and equity valuations.
This segues into private investing, with Andy telling us about how came to own farmland. Turned out to be a great investment, buying at $500 an acre and selling years later at $3K an acre. Meb agrees farmland is a great asset class, but it’s hard to allocate toward.
This dovetails into a few other private investments in which Andy has participated, most notably “Honest Tea,” which was purchased by Coca Cola, as well as a small, musical comedy, which went on to play on multiple continents over many years.
The guys bounce around a bit here, discussing the need to spread your bets in private market investing… lockups… the benefit of illiquidity… binary thinking… Andy’s firsthand experience with selling way too early…
There’s plenty more in this episode, including Andy’s concerns for our existential future, his most memorable trade, and finally, a product he endorses which might help tackle dementia and improve reflexes. Apparently, Tom Brady swears by it.
What are the details? Find out in Episode 92.
Episode 91 is a radio show format.
We bounce around a bit in this one, starting with Meb’s most popular Tweet of all time. It involves a market record that people decided to politicize.
Next are some “signs of the top.” We discuss various indicators that support the general takeaway that (to no one’s surprise) we’re in a frothy market: US investor stock allocations are approaching the highest levels since 2000… Stocks as a percentage of household assets adjust for pensions funds are now the 2nd highest ever… The average expected return of state and local pension funds is 7.5%... The number of days the VIX has spent below “10” in 2017 was 52 (the combined amount for all years dating back to 1999? Less than “10”)…
We then discuss Meb’s upcoming personal portfolio rebalance. He publishes this each year, and he gives us the preview. Then there’s a discussion of Bitcoin, and Meb’s thoughts on how an investor might reasonably participate if so desired.
Then we hop into some listener/Twitter questions:
Plus, Meb is about to do some traveling overseas. Where’s he headed this time? Find out in Episode 91.
In Episode 90, we welcome Founder and Portfolio Manager of Verdad, Dan Rasmussen.
We start with a brief walk-through of Dan’s background. It involves a Harvard education, a New York Times best-selling book, a stint at Bridgewater, consulting work with Bain, then his own foray into private equity.
Turning to investments, Meb lays the groundwork by saying how many people misunderstand the private equity market in general (often confusing it for venture capital). He asks Dan for an overview, then some specifics on the state of the industry today.
Dan clarifies that when he references “private equity” (PE), he’s talking about the leveraged buyout industry – think “Barbarians at the Gate.” He tells us that PE has been considered the crown jewel of the alternative world, then provides a wonderful recap of its evolution – how this market outperformed for many years (think Mitt Romney in the 80s, when he was buying businesses for 4-6 times EBIT), yet its outsized returns led to endowments flooding the market with capital ($200 - $300 billion per year, which was close to triple the pre-Global Financial Crisis average), driving up valuations. Today, deals are getting done at valuations that are nowhere near as low as in the early days. And so, the outsized returns simply haven’t existed. Yet that hasn’t stopped institutional investors from believing they will. Dan tells us about a study highlighting by just how much institutional managers believe PE will outperform in coming years…yet according to Dan’s research, their number is way off.
Dan then delves into leverage and the value premium, telling us how important this interaction is. He gives us great details on the subject based on a study he was a part of while at Bain Consulting. The takeaway was that roughly 50% of deals done at multiples greater than 10x EBITDA posted 0% returns to investors, net of fees.
Meb asks about the response to this from the private equity powers that be… What is their perspective on adding value improvements, enabling a higher price? Dan gives us his thoughts, but the general take is that doing deals at 10x EBITDA is nuts.
Next, the guys delve into Dan’s strategy at Verdad. In essence, he’s taking the strategy that made PE so successful in the 80s and applying it to public markets. Specifically, he’s looking for microcap stocks, trading at sub-7 EBITDAs, that are 50%-60% levered. With this composition, this mirrors PE deals.
The guys then get neck-deep in all things private equity… control premiums, fees, and illiquidity… the real engine behind PE alpha… sector bets… portfolio weights…
Meb and Dan land on “debt” for a while. Dan tell us how value investors tend to have an aversion to debt. But if you’re buying cheap companies that are cash-flow generating, then having debt and paying it off is a good thing. Debt paydown is a better form of capital allocation than dividends or buybacks because it improves the health of the biz, leading to multiple expansion.
The guys cover so much ground in this episode, it’s hard to capture it all here: They discuss how to balance quantitative rules with a human element… The Japanese market today, and why it’s a great set-up for Dan’s PE strategy… Rules that should work across geography, asset classes, markets, and time… Currency hedging… And far more.
For the moment, we’re still ending shows with “your most memorable trade.” Dan’s involves a Japanese company that had been blemished by a corporate scandal. Did it turn out for or against him? Find out in Episode 90.
In Episode 89, we welcome legendary market veteran, Blair Hull.
We start per usual, with our guest’s background. In this case, long-time Meb Faber Show listeners may think they’ve heard it before. That’s because Blair’s background shares an interesting similarity with that of Ed Thorp – the card game, Blackjack.
It turns out Blair made a considerable sum of money playing Blackjack after reading Ed’s writings on the game. Blair tells us you needed an advantage, and then you need to stay in the game. That’s why he played with a team. More hands played according to their system tilted the odds in his favor. This is a fun part of the podcast you’ll want to listen to for all the details, including Meb’s foray into card counting with a partner that botched the system after drinking too many Bloody Mary’s.
Eventually, Blair took his winnings and used them to get a seat on the Pacific Exchange, where he became a market maker and began trading options. Blair tells us he was intrigued with market timing, resulting in a paper he wrote which concluded that you can time the market.
Meb asks about the genesis of Blair’s market timing strategies.
Blair points back to Blackjack – each different card provides an idea about the future. In a similar way, various indicators provide an idea about a market’s future. So, part of the challenge is which indicators do you consider and what weights do you put on them?
Next, Meb digs deeper, asking for more specifics of Blair’s strategy, inquiring about the indicators.
Blair mentions one indicator that piqued his interest – the Federal Reserve Bank Loan Officer Survey. They found the correlations with 6-month returns was about 30%, which is a fairly high correlation for an indicator. He then took this indicator and combined it with a few others and ran a regression with no forward-looking bias to see if they could exceed the returns of the S&P. What were the results? You’ll have to listen.
The conversation bounces around a bit before Blair mentions how valuation is one of their key variables. He tells us his valuation method combines three different aspects: CAPE, cyclically adjusted dividend yield including buybacks, and book-to-price.
The guys spend a while discussing the various inputs in Blair’s model before discussing sentiment (which Meb calls “squishy). Both guys like sentiment, with Blair even having invested in two different firms that are using Twitter feeds so he can get a better handle on sentiment.
Next, Meb asks about AI, and how machines may affect investing going forward. Blair has a proprietary trading firm that operates on a high frequency basis, so he gives us his thoughts, noting that a key to maximizing wealth is to use an optimal-sized bet.
Meb changes direction, asking what Blair is excited about today.
It turns out Blair is focusing on the stigma of market timing. He believes it will be irresponsible not to be involved in market timing over the next 30 years. That’s because when we have correlations that really go to “1” when we have a disaster, getting an edge in the market is critical.
There are a couple quick questions – Blair’s favorite indicator, and Blair’s advice to young quants looking to get into quant finance today, but then we turn to Blair’s most memorable trade.
This is a great one involving the crash in ’87, when Blair was a market maker. Don’t miss it.
There’s plenty more in this great episode featuring a true market legend, including why Blair tells us “Emotions will kill you in this game.”
That and far more in Episode 89.
In Episode 88, we welcome portfolio manager, Eric Clark.
As usual, we start with Eric’s background, which spans 25 years in the investment industry. After working for an asset manager, Eric realized he wanted to do something passion-based – a “timeless equity strategy.” So, when he felt he had the answer, he created a suite of consumption-based brand strategies.
Meb asks about these brands and how they play a role in Eric’s portfolio construction.
Eric tells us he tasked himself with identifying some stable, persistent themes he could anchor to (for the purposes of building a portfolio). He tells us that “nothing is more persistent than a consumer’s propensity to spend.” With this in mind, he looked at the U.S. economy, and what drives it. Eric tells us that the consumption component of GDP has annualized at about 3.5% a year for 50 years. And of that, about 70% of our GDP is consumption. Now, take these two pieces together – “if consumption…is predictable then how do I build a strategy that taps into that?” The answer points toward buying great consumer brands.
Next, Meb asks about the framework. Eric says you need an index. Therefore, they created the Alpha Brands consumer spending index. The goal was a broad universe, tracking a lifetime of spending. For instance, a Millennial spends differently than someone from GenX. So, the idea was to create an index consisting of the most relevant and recognizable brands that track a lifetime of spending.
Meb asks how it works going forward? For instance, how would Eric see companies like GE and IBM? Are they great buying opportunities or dead brands?
Eric points toward IBM as a brand they’ll likely hold onto, as it’s still a powerful B-to-B brand. But he tells us the food packaging industry, for example, is coming under pressure. That’s because the type of food we buy is changing. He identifies Kellogg as a company facing challenges.
The conversation bounces around a bit, referencing valuation, where this brand-based type of investing fits into a broader portfolio, and how this type of strategy might be expected to hold up during a recession. Eric speaks to this last point by discussing consumer discretionary versus consumer staples, including the risk of rising rates.
There’s plenty more in this episode – where Eric believes the market is going in 2018 (he mentions some thoughts on earnings)… how international sales affect the brands-strategy… how the asset management industry seems to be moving toward the commoditization of portfolio construction, where advisors just want to own everything (in response, Eric tells us “I still believe that alpha is available and possible, and beating a benchmark is possible if you understand a bunch of things”).
We wrap up with Eric’s most memorable trade. It involves an ill-timed attempt to short banks in July ’09.
Hear all the details in Episode 88.
In Episode 87, we welcome market veteran and ETF expert, Mike Venuto.
Mike briefly walks us through his background, which includes a fun story about a baffling situation years ago when the gold mining company, Newmont Mining, was falling in price despite gold rising in price. Mike tells us the culprit turned out to be the new ETF “GLD” – Mike realized he needed to learn far more about ETFs.
Next, the guys dive into ETFs. Meb starts broadly, asking where we are in the ETF evolution.
Mike tells us we’re still quite early. The growth rate has been largely the same over the last 10 years (a little over 20%); but that growth rate is compounded over a larger base now, so it feels like the growth is greater. And in terms of where ETFs are going, free beta is getting saturated. The next move in ETFs will be people thoroughly detailing the differences between two ETFs that appear largely the same at first blush (nowadays, people tend to see similarly-themed ETFs as somewhat the same).
Meb pushes deeper on this idea, wanting to know more about this next evolution in ETFs. Mike tells us that myriad factors are a part of any given ETF beyond its expense ratio. For instance, there are the spreads, how well an ETF tracks its index, whether the ETF lends out its shares and what it does with that revenue, then there’s the share price itself. All these factors can make two ETFs that appear similar on the surface actually quite different.
This dovetails into the idea of “active share” – basically, the measure of an active ETF that differs from its index. Mike tells us about a tool at Toroso called Smart Cost that helps embrace ETF transparency. The tool helps answer the question “how much am I paying for the smart portion of an ETF?” Mike goes on to tell us that the overall expense ratio is not the most important cost consideration – instead, it’s how much am I paying for the smart portion? He gives us an example, comparing it to its benchmark, then calculate its “price per unit of difference.” The tool shows the amount of the ETF you’re buying that is different – and this helps determine the true value of any given ETF.
Meb echoes much of this, saying that in order to justify actively managed fees, an investor wants an ETF that looks truly different than its benchmark. Otherwise, you’re just paying top dollar for cheap beta.
The conversation bounces around a bit, including some other tools Mike uses, but eventually Meb asks about something Mike is doing that’s on the forefront of tracking the entire ETF space.
It turns out, Mike has created an index that enables investors to track the growth and exposure of the overall ETF ecosystem. This includes not just the issuers, but the exchanges, the data and index providers, the back-office companies, and so on – the entire overall ecosystem. So, Mike has created an index that tracks the growth of all these companies.
Next, the guys move into the “fringe ETF” space. Mike predicts we’re going to see more “characteristic” based indexes. Rather than capture a factor, they systemize how to target characteristics – e.g. a spin-off, or insiders buying a stock, or great brands. This leads into a conversation about “structural” factors, where you create a different form of behavior. An example would be a put-write fund.
The guys touch on a few topics before moving onto cryptos. They discuss whether crypto has any real legs, and what the potential could be. Mike has some interesting thoughts here.
As the interview begins to wind down, Meb asks for Mike’s favorite ideas going into 2018.
Mike tells over the next 10 years, it could prove difficult to achieve the type of beta returns we’ve enjoyed over the last 10 years, so he suggests seeking out high active, global growth themes. Find a PWC or McKinsey study about “things that are going to change the world” then invest in those industries (think robotics). Mike goes on to mention the Internet of Things and the electrification of cars.
Meb agrees on the potential for a challenging return environment. He walks us through why using the 60/40 portfolio with current bond yields, and what equities would have to return to keep us at “average” returns. Given our lofty valuations today, that seems tough.
There’s way more in this episode: The Permanent Portfolio… whether gold bugs should be concerned about the rise of crypto… how Meb has a new army of enemies in the form of Litecoin crypto investors… and how one of Mike’s friends bought a pizza years ago with Bitcoin – probably the most expensive pizza that friend will ever purchase. And of course, there’s Mike’s most memorable trade.
Hear about it in Episode 87.
Episode 85 is a radio show format. Meb starts with a recap of his latest travels – this time he was off to New York then Europe. Then, it’s onto Q&A. Some of the questions and topics you’ll hear are:
As usual with the radio show formats, there are plenty of rabbit holes including the Big Mac Index, why you shouldn’t go into a sauna in Zurich wearing clothes, Meb’s old econometric models, and why expectations for the traditional 60/40 appear unrealistic all around the globe.
All this and more in Episode 85.
Episode 86 is a solo-Meb show.
It’s been 10 years since Meb wrote “A Quantitative Approach to Tactical Asset Allocation” which is the top-downloaded paper of all time on SSRN. In the coming weeks, we’re going to publish a retrospective on that paper in the Journal of Portfolio Management. So Meb thought this episode would be a good opportunity to revisit the original paper and perform his 10-year post mortem.
Here’s the abstract of the new paper, and the backbone for what you’ll hear in this episode:
“In this article, the author revisits his seminal paper on tactical asset allocation published over 10 years ago. How well did the market strategy presented in the original paper – a simple quantitative method that improves the risk-adjusted returns across various asset classes – hold up since publication? Overall, the author finds that the model has performed well in real-time, achieving equity-like returns with bond-like volatility and drawdowns. The author also examines the effects of departures from the original system, including adding more asset classes, introducing various portfolio allocations, and implementing alternative cash management strategies.”
If you’re not familiar with Meb’s original “A Quantitative Approach to Tactical Asset Allocation” don’t miss Episode 86. In many ways, this paper is foundational to the various market approaches Meb has adopted since.
In Episode 84, we welcome investor and entrepreneur, Howard Lindzon.
Howard starts by giving us his background. He was a broker who felt the pain of the ’87 crash. In the aftermath, he got the angel investing and entrepreneurial bugs. He’s currently an investor in Robinhood, and he started StockTwits – which you might think of as Twitter-for-finance. He also runs a fund, Social Leverage.
Given that Howard has spent plenty of time in the public markets, Meb starts by asking about his public market framework, and how he approaches markets today.
Howard tells us that he likes to see which investments are doing well, then try to join in – in his words “classic trend following.” He uses the analogy of the great white shark and the pilot fish. Howard is a pilot fish, following the great white. He likes this approach as “there’s so many ways the markets are rigged that I think it’s best to just follow along the trends.” Howard believes this approach of following the great whites also works in the private markets.
Meb asks about something Howard wrote in regards to learning to invest – it was something along the lines of “open an account, lose money, get a mentor.” Howard expounds on that, focusing on how everyone needs a mentor. Howard wants to help other investors through his own writing and advice. He references Millennials, and how he wants to use tools to help them.
Meb asks Howard’s advice for people who want to learn to be better investors, and how to find a mentor. This leads to a conversation about Howard’s site, StockTwits. Whereas Wall Street felt that people wouldn’t share quality investment information (just keep it to yourself so only you can benefit), Howard felt that many people would want to share their good ideas. Many of these people do exactly that on StockTwits. So, Howard suggests finding someone there that matches your own investing style and temperament, who has a consistent, good track record, and just follow along.
Meb asks which gurus Howard suggests following these days in order to get great information. Be sure to listen to this part to get the specific names.
Next, Meb transitions the guys toward private investing. He asks for an overview on the blurring of the lines between private and public markets, and the development of the seed stage being open to individuals.
Howard tells us things changed in 2007/2008 – it was “the cloud” that was the catalyst, bringing down the costs of starting a company. He says now we’re in a transition stage where many private companies are actually staying private for too long. He references Uber, saying how it feels a bit late for it to go public, but it’s too big to be private.
Meb asks about the realities of private market investing for listeners, noting how some of our pasts guests have had different opinions. Howard has some helpful thoughts you’ll want to hear, but he notes that to be a great angel investor, you need to invest over multiple generations – 20 years or so. You need this time to see an overall crop of investments work out.
This leads into a discussion of Howard’s fund, Social Leverage. Howard gives us the details as to what they’re looking for, as well as the fund goals.
As always, there’s plenty more, including a discussion of when Bitcoin was less than $1, Howard’s publication, The Peloton, and, of course, his most memorable trade. Not investing in Twitter and Zynga when he had the chance comes to mind.
Hear all the details in Episode 84.
In Episode 83, we welcome fund manager, Randy Swan, who’s calling in from the Bahamas after being displaced from Puerto Rico by Hurricane Maria.
The guys start with Randy’s backstory, which leads into why he started Swan Global Investments. In part due to his background in managing liability risk at KPMG, Randy was interested in a way to diversify away market risk. This led him to develop an option-based market approach called the Swan Defined Risk Strategy (DRS), which might be summarized with Randy’s phrase “always invested, always hedged.”
Randy walks us through his DRS methodology, which relies on asset diversification and the purchase of puts to protect against market drawdowns. He gives us more info on the duration of the puts, generally how far out of the money the system targets, and other trade specifics. This dovetails into a discussion of selling options as opposed to buying them. Randy uses selling strategies in an effort to generate positive returns on an annual basis.
Meb asks about the general response from investors, and how they view buying this type of portfolio “insurance.” Randy tells us most people think it makes sense, they just haven’t really been exposed to the idea. Rather, most people are used to hearing only about diversification.
The guys then discuss low volatility in the market. Randy gives us his thoughts, mentioning how now is a great time to hedge a portfolio given the low VIX. The conversation touches on whether you can still sell options in this low-VIX market. After all, it might be dangerous if volatility spikes. Plus, with so many investors having adopted a selling strategy in an effort to generate income, is this space crowded? Does it still work? You might be surprised to hear Randy’s take on it.
This is a great episode for options-fans and investors wondering how to stay in this market while adding some protection to their portfolios. You’ll hear more on volatility skew… the active versus passive debate (and how it misses the point)… Randy’s broad advice for listeners interested in implementing an options strategy… and of course, Randy’s most memorable trade.
Get all the details in Episode 83.
In Episode 82, we welcome trader, fund manager, and author, Vineer Bhansali.
Per usual, we start with Vineer’s backstory. It involves his physicist-origins, an unexpected move to an assortment of trading desks, and a run-in with the great, Fischer Black.
Meb soon dives in, asking about main strategies Vineer uses with his group, Longtail Alpha. Meb reads a quote from LongTail’s website…
“LongTail Alpha’s sole focus is to find value in the tails of financial asset return distributions. Either in the left tail as a risk mitigation hedge on multi-asset portfolios, in the right tail to add convexity to an investor’s risk exposures, or in both the right and left tails to produce alpha from convexity and volatility opportunities in a hedge fund structure.”
Meb asks Vineer to use this as a jumping off point, explaining his framework, and how he thinks about tail strategies.
Vineer tells us that, at LongTail, they believe the probability distribution of returns for asset classes and multi-asset portfolios is actually not bell-shaped. Rather, there are many imperfections and anomalies in the market. And the tails of the distribution are quite different than the central part. While the central part of the curve tends to have many, smaller moves, the tails tend to be dominated by infrequent, large events. With this in mind, the goal is to implement various options strategies to help you position yourself for these tail vents. Keep in mind, there are left tail and right tail events (and a hedged strategy in the middle). Vineer references them all.
Meb mentions how, right now, most investors are more concerned with the left tail events. So how should an investor think about implementing a tail strategy? And is it even necessary, given Vineer’s statement in a recent Forbes article:
“…people generally feel better when they believe that they have portfolios with built-in insurance, i.e. protection against losses, even though the expectation (or average return) of a portfolio with or without such insurance is the same.”
Vineer discusses the difference between “volatility” and “permanent loss of capital.” What you want from a left-tail paradigm is a methodology that keeps you in assets, serving your long-term benefit. Generally, you want to be invested in the stock market. Vineer tells us the name of the game is to be able to survive the relatively short-but-harsh pullbacks, and even accumulate more assets during those times. Given this, Vineer has a 4-lever framework he uses to help create a robust left-side portfolio. You won’t want to miss this part of the discussion.
As the conversation unfolds, you’ll hear the guys discuss how, even though there is some concern about a correction now, the markets are still severely undervaluing the price of a sharp downturn. And option premia are incredibly cheap by historical standards.
Meb then asks for more details about actually implementing a left tail strategy.
Vineer’s answer touches on understanding and identifying how much exposure one wants to equity risk and inflation risk. Then, there’s the need to understand one’s risk threshold tolerance – the “attachment point” at which you cry uncle, whether that’s being down 10%, 15%, 25% or more. Given this attachment point, an investor could then go to the options market and buy “insurance” at this level, for a duration of time suitable to the investor.
This leads Meb to wonder why people think of portfolio insurance differently than life, car, or home insurance. We all pay those insurance premiums without thinking much about it, but there’s so much resistance to paying for portfolio insurance.
Vineer actually wrote a paper on this challenge. He tells us part of the issue is an aggregation, disaggregation problem. The right thing to do would be to lump the cost of insurance into the portfolio and look at the overall portfolio returns. But people fixate on the “lost” cost of insurance when option premiums expire worthless.
Next up, the guys discuss the current volatility environment. Vineer address two questions from Meb: “why is volatility so low?” And “is there a sweet spot on the option scale (how far out of the money) for investors looking to purchase portfolio protection?”
There’s way more in this episode: option selling strategies (instead of buying insurance, you’re the one selling it in order to generate yield)… A great piece from Vineer about selling bonds as a way to hedge your portfolio… How the traditional inverse relationship between market direction and volatility might not be holding up as much (look at Japan recently – surging markets and volatility together)… Vineer’s thoughts on artificial intelligence and “how to beat the machines”… And of course, his most memorable trade.
All this and more in Episode 82.
In Episode 80, we welcome commodities and gold expert, Claude Erb.
As usual, we start with Claude’s back-story, but it’s not long before the guys jump into investing, with Meb asking about Claude’s general framework and view of the markets.
Claude tells us there are three concepts that guide his broad investing thinking: first, framing investment opportunities in terms of price/value relationships; second, the concept that no one gives away anything of value for free; and third, the idea that there really is no difference between a successful traditional fundamental approach to investing and a successful quantitative approach to investing.
This leads into a quick conversation about how market wisdom compounds over the years, but it’s not long before the guys jump into the topic of “gold.” Claude and his writing partner, Campbell Harvey, wrote the seminal paper, “The Golden Constant”, which explored the possible relationship between the real, inflation-adjusted price of gold and future real gold returns. Meb mentions how gold elicits far more emotion in investors than nearly any other asset, with different investors having an array of reasons or themes as to why they own gold.
Clause gives us some great commentary on the link between fear and gold, touching upon VIX contracts, volatility, and even Buffett’s and Dalio’s take on gold. The guys continue with the gold discussion, with Claude referencing some of the concepts from “The Golden Constant”. All you gold bugs (and historians, for that matter) won’t want to miss this.
There’s way more in this episode, including a discussion of commodities, various practical takeaways, and Claude’s thoughts on something called “the sequence of returns.” And of course, there’s Claude’s most memorable trade. What are the details? Find out in Episode 80.
Episode 81 is a radio show format. Meb starts with a note of thanks to listeners. It involves a milestone Cambria just passed as a company.
Next, Meb walks us through the common themes he’s hearing from his office hours. In short, all listeners are generally making the same investing mistakes (though everyone seems to believe his/her situation is unique). Meb tells us what everyone is doing.
Then, it’s on to listener Q&A. Some of the questions and topics you’ll hear are:
As usual with the radio show formats, there are plenty of rabbit holes. Plus, Meb is about to do some travelling overseas. Where’s he headed? Find out in Episode 81.
In Episode 79, we welcome Jason Goepfert, founder of SentimenTrader.
Per usual, we start with Jason’s background. It involves listening to margin calls, when “real emotion” would come out. Jason tells us anger and panic were what you would hear, and that people are not necessarily rational.
These experiences and others eventually led Jason to launch Sentimentrader which is, according to its website: “an independent investment research firm dedicated to the application of mass psychology to the financial markets… Our focus is not market timing per se, but rather risk management. That may be a distinction without a difference, but it's how we approach the markets. We study signs that suggest it is time to raise or lower market exposure as a function of risk relative to probable reward. It is all about risk-adjusted expectations given existing evidence.”
The guys discuss some of the mechanics of Sentimentrader – the time-frames of the various models, the inputs, and how most people want just one indicator (but that’s not the best way).
Meb asks for an example of one of Jason’s favorite indicators – it turns out to be the VIX, sometimes known as the market’s “fear gauge.” As of the time of the podcast, the VIX is quite low. One might assume this means it’s about to pop, but Jason tells us nothing works 100% of the time, with Meb noting it can stay low for a long while.
Meb asks how investors – specifically long-term investors – should use indicators like the VIX. Should they pay attention at all? Jason tells us you can use these indicators for color.
Meb throws in a funny aside about a “seafood tower” indicator – the idea being when times are bad, no one orders the seafood tower, but when times are good, towers are stacked at all the tables. And it just so happens, Meb recently had a meal out in which the table wanted a seafood tower…as did at least three other tables at the restaurant that night.
The conversation bounces around a bit, with interesting back-and-forths about the AAII and Investor Intelligence surveys, the potential for “observer effect” to be skewing some results, and how every bull/bear cycle is different and people put too much weight on the market event that’s just happened. Jason tells us that many investors are now saying, “well, stocks probably aren’t going to peak because we’re not seeing the same kind of optimism we saw in 2007.” But 2007 was probably a once-in-a-lifetime type of a peak (and 2009 was a once-in-a-lifetime type of a bottom) – so we shouldn’t expect to see the same readings at those turning points.
The guys breeze through a fun topic next: whether Twitter should be considered a useful sentiment indicator. Jason tells us it’s wonderful and horrible. The problem is we self-select and tend to follow people with a similar mentality as our own. So, we’re largely just in a bit of an echo chamber of our own opinion.
Meb and Jason go on to cover margin levels and the commitment of traders before discussing the contrary indicator of magazine covers. It turns out magazine covers are not the great contra-indicator they’re purported to be.
Finally, the guys turn to today’s markets, with Meb asking how the world looks to Jason given his experience with sentiment. Jason tells us U.S. equities are optimistic, but not necessarily overly optimistic, and bonds and gold are both “meh,” neither registering any extreme sentiment readings.
Meb asks which asset classes around the globe are, in fact, registering extreme readings. Jason tells us we’re seeing some extreme readings in cocoa, coffee, and grains – the soft commodity complex. He actually provides the name of a specific fund if you’re interested in playing this as an investment.
There’s tons more in this great episode: how today’s cryptos are resembling the internet stocks of the late 90s… why it’s hard to buy, even when the sentiment indicators are signaling you should do so… and the time when sentiment called the markets nearly perfectly.
And of course, there’s Jason’s most memorable trade. It involves a times when all the sentiment indicators were lining up together nearly perfectly. So Jason went in big…and lost big when things didn’t play out as he expected.
What are the details? Find out in Episode 79.