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The Meb Faber Show - Better Investing Folgen
Ready to grow your wealth through smarter investing decisions? With The Meb Faber Show, bestselling author, entrepreneur, and investment fund manager, Meb Faber, brings you insights on today’s markets and the art of investing. Featuring some of the top investment professionals in the world as his guests, Meb will help you interpret global equity, bond, and commodity markets just like the pros. Whether it’s smart beta, trend following, value investing, or any other timely market topic, each week you’ll hear real market wisdom from the smartest minds in investing today. Better investing starts here. For more information on Meb, please visit MebFaber.com. For more on Cambria Investment Management, visit CambriaInvestments.com.
Folgen von The Meb Faber Show - Better Investing
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Folge vom 07.12.2016Brew Johnson & Brett Crosby - "We Have Long-Term Aspirations of Disrupting the Entire Mortgage Finance and Securitization Market" | #32Episode 32 is like no other we’ve done to date. Local guys, Brew and Brett, run a startup in nearby Manhattan Beach – and it’s disrupting the real estate financing market. It’s not long into the episode before the guys give us the overview of how it works. Peer Street invests in real estate debt. Now, when most people try this, there are too many intermediaries. The effect is the yield is stripped out. Peer Street is fixing this, focusing on short-term, high interest rate loans. The guys’ vision is to enable investing in real estate lending to be as easy as buying a stock through an online broker. After giving us their fascinating professional backgrounds prior to starting Peer Street, Brew and Brett dive into how the process work. There’s always been a shadow, niche market in this space. A real estate investor finds a good property that he/she is able to fix up and sell/rent. But to make the deal happen, the developer has to move quickly, and doesn’t have time to get a traditional loan through a bank. In steps a reputable cash lender, enabling the deal. Brew and Brett are enabling retail investors to take part in these localized real estate deals. Meb asks about the range on yields… how many current deals they have… just general top-down metrics to paint the broad picture. Since the end of Oct 2015, the guys have opened around $200M of loans. The average yield to investors is 8.5% net of fees and expenses. The average loan duration is 10 months. And the average loan-to-value ratio is 65%. The guys then discuss how deals are vetted. There are approval processes, several layers of underwriting, a requirement wherein lenders have to commit their own capital, various data analytics, then stress testing of the loans. Meb asks what would happen to these loans in a real estate Armageddon situation. The Peer Street guys tell us they use as much data as possible to mitigate potential losses. And these are only 10-month loans, so to lose money, the borrower has to stop making payments and the value of the property has to decrease by about 35%. To try to protect against this, they run algorithms and compare the data to previous cycles. Then they consider what was the worst decline in that submarket. This helps them do a manual underwrite of the loan, after which they get an appraisal from an independent 3rd party. There’s far more on how the guys manage risk which you’ll want to hear. Next, the conversation steers toward how an investor would actually take part in the deals. He/she can pick from, typically, 3-15 available deals at a time. Or investors can set up an automated system, establishing parameters from which Peer Street would match them with the right investments. Ten or more loans at a time is recommended for diversification, with the minimum investment being $1,000. There’s way more in this episode, including Brew’s and Brett’s vision for how disruptive this could be, where this type of investment would fit into an asset allocation model, and an “imposter Cambria” that has Meb very angry. Curious why? Find out in Episode 32.
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Folge vom 30.11.2016Mark Yusko - "Asset Allocation Matters Most" | #31Episode 31 starts with some background information on Mark. After some early-career twists, he got his “big break” – working for his alma mater, Notre Dame, in its endowment department. Several years later, The University of North Carolina came calling, and Mark took the helm for UNC’s investments. Eventually, he moved on to private wealth with his current group, Morgan Creek. Given the heavy institutional background, Meb asks about how endowments invest. Mark tells us that every large pool of capital manages its money the same way – investing in stocks, bonds, currencies, and commodities. That’s it – though how you own those assets might change. Yet despite different wrappings, they all have the same risk factors. This leads Mark to focus on asset allocation, as “asset allocation matters most.” The conversation turns toward money managers (Mark uses various money managers at Morgan Creek). Meb asks how a retail investor can get access to the truly great money managers. It turns out, it’s very difficult. But Mark says you don’t necessarily want the well-known superstars who’ve been in the limelight for 20 years. You want to get onboard with them far earlier in their careers when no one is looking, before they become famous. As to how you actually find them, Mark says you have to “kiss a lot of frogs.” Meb follows up with an interesting question – forget about how to find great money managers…how do you know when it’s time to get rid of one? After all, it can be hard to tell when a manager’s investing system is flawed versus when he/she might simply be distracted by personal issues, or just going through a rough patch. Mark’s answer? Stop focusing on performance. Instead, focus on the other three P’s: 1) people 2) process, and 3) philosophy. If all you’re doing is looking at/chasing performance, chances are you’re going to underperform. So expand your analysis. There’s far more in this episode, including “Red Ferrari Syndome,” a Twitter question to Mark about the biggest learning experiences of his career, and an asset class that’s about to be down a whopping 6 years in a row. What is it? Find out in Episode 31.
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Folge vom 23.11.2016Listener Q&A Episode | #30As Meb is back from another series of speaking engagements, Episode 30 starts with a brief recap of his travels. But we hop in quickly, first addressing the election. We’ve had several anxious people write in, requesting commentary on the financial markets now that Trump will be taking over. Meb offers his thoughts, which we can reduce to one word: irrelevant. Next Meb gives us an overview of a white paper he’s soon to begin writing – a rebuttal to detractors of Shiller’s CAPE ratio. He provides some convincing points on why CAPE can be an effective timing tool. You’ll want to hear this if you’re a CAPE fan – even more so if you believe CAPE is flawed. After that, we hop into listener Q&A. A few of the questions you’ll hear Meb tackle are: - How does CAPE do as a valuation metric for a stock index when the composition of the index is changing or there is significant dilution? - When it comes to value filters like P/B or P/E, how do you rank metrics which can become negative or distorted when they get too close to zero? - Besides trend following, what other alternative strategies (e.g. long/short, diversified arb, global macro, market neutral, etc.) do you believe are a worthy addition to a balanced portfolio? - Please address living through drawdowns versus using trailing stops. Discuss the tradeoff between minimizing drawdowns versus potentially missing huge recoveries. - What do you think of using CAPE in Frontier markets? And does the 10-month SMA timing model work in these markets? - How do you practically implement the bond strategy laid out in your paper, “Finding Yield in a 2% World”? - James O’Shaughnessy’s “What Works on Wall Street” references an investing strategy that posted amazing returns for many years. Seems too good to be true. Any insights? Wouldn’t everyone be using this system if it really was this wonderful? - Any pointers on how to do your own backtesting? As usual, there’s lots more, including the common investor sentiment of “I’m waiting until the uncertainty dies down before I put more money into the markets,” Meb’s thoughts on cash and inflation, and the benefits of systematic investing. All this and more in Episode 30.
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Folge vom 16.11.2016Tom McClellan - "Now Everybody Knows What the Outcome Is, They Can Get Back to Focusing on Real Things That Actually Matter” | #29In Episode 29, we welcome market veteran, Tom McClellan. Meb starts with some background on Tom – he’s been doing financial writing for 20 years, likely making him one of the longest-running financial writers in the business. The guys then provide an overview of Tom’s proprietary market tool, the McClellan Oscillator. The roots of the Oscillator date back decades ago, when Tom’s father, Sherman, was trying to develop a system by which he could better time corn purchases for their farming business. (It turns out, you can get a better price in March.) In short, Sherman eventually crossed paths with some technical analysts who were exploring breadth statistics in the market (advance/decline line). Sherman applied moving averages to the advance/decline line, and a few tweaks later, we got the McClellan Oscillator. Meb then asks about the best way investors can use the Oscillator, and what the signals are telling us now. Tom gives us a quick tutorial, then suggests that the Oscillator is saying “oversold” (keep in mind this episode was recorded on 11/9). It has been correcting since July, but now that election is over, maybe we’ll see that change. With the election in mind, Meb brings up the sentiment he’s heard from many investors: “I want to wait until the election is over and things are more certain.” Meb finds this amusing, as when are the markets ever certain? This segues into Tom’s election indicator. It had predicted Trump. Tom gives us more details about the mindset behind his indicator. In essence, we see market movements reflected in the poll numbers. In other words, the market is a leading indicator for where the polls will go. As evidence, he references the election when Bush/Gore was too close to call, discussing this through the prism of what the markets were doing at the time. And in this most recent election, the indicator had called for Trump to win though the polls didn’t. Tom says that’s because the poll numbers before the election hadn’t reflected the big decline in the stock market in the week leading up to the election – but that decline did show up as a change in the actual vote. This sets the guys off on a conversation about “sentiment” which is an indicator Tom loves. Then Meb steers the conversation toward interest rates and the Federal Reserve. It turns out, the guys believe you can tell where the Fed should set the Fed Funds Rate by looking at what the yield is on the 2-year note. It’s when that doesn’t happen that we see market issues. Tom gives us an example from Bernanke’s tenure. Meb then points toward another chart from Tom: the S&P verse Federal Tax receipts divided by GDP – in essence, how much the government is collecting in taxes. What’s the relationship here? Well, if you’re against the government taxing too much, you’ll likely agree with the findings. There’s more fascinating conversation about Tom’s various charts. For instance, the common conception is that a slowdown in the economy leads to an increase in crime. Tom says not true. Do you know what is correlated to an increase in crime? Inflation. What inflation does in Year 1 is what crime will do in Year 2. Meb then asks about the biggest mistakes that investors make when creating their own charts. Tom tells us that people want to simplify too much. “Just give me the one chart that will work.” Unfortunately, there is no holy grail. If you’re looking for easy answers, the stock market is not the place to find it. Look for more obscure indicators. If everyone is using the same indicator, there’s no value there. There’s lots more, including a conversation about “value.” Turns out, Tom doesn’t really use value at all. In fact, he says there are only two variables that matter. What are they? Find out in Episode 29.