Invest with the House | #44

Episode Summary

Executive Summary: Meb Faber presents a solo reading from his book on “investing with the house,” arguing that despite market-efficiency skepticism, skilled managers can be identified and partially replicated via public 13F filings. He uses Buffett, Tepper, and Klarman to show how following concentrated long-only holdings can offer strong historical returns, lower fees, transparency, and accessibility—while also highlighting delays, hidden shorts, and manager selection risks.

Main Topics: Core thesis: investing with top hedge funds via 13F filings (Priority: 5/5): The episode argues that investors can learn from and potentially clone elite long-only stock pickers by reviewing SEC 13F disclosures, which reveal institutional holdings with a delay but still contain valuable signals. Why stock picking is hard and markets are often efficient (Priority: 5/5): Meb opens with evidence that most stocks underperform, many lose money, and a small fraction drive most gains, reinforcing the difficulty of picking winners and the value of learning from experts. Warren Buffett as the anchor case study (Priority: 5/5): Buffett is used to show that following disclosed holdings can generate excess returns, and that 13F-based replication can outperform broad indices while avoiding hedge fund fees. Pros and cons of 13F replication versus hedge fund investing (Priority: 5/5): The transcript lays out advantages such as liquidity, transparency, lower fees, tax control, and fraud avoidance, while noting limitations including stale data, hidden shorts, and inexact replication. How to identify which managers are worth tracking (Priority: 4/5): Meb emphasizes favoring low-turnover, long-term, value-oriented managers and avoiding short-only, high-turnover, macro, arbitrage, or black-box strategies that do not translate well to 13F copying. Profiles of David Tepper and Seth Klarman (Priority: 4/5): Tepper is presented as a high-conviction, event-driven, distressed-debt investor with standout historical results, while Klarman exemplifies disciplined value investing, patience, and concentrated bets. Implementation and practical resources (Priority: 3/5): The episode closes with guidance on constructing clone portfolios, monitoring costs, using tools like WhaleWisdom or SEC EDGAR, and building a personalized stable of managers to follow.

Key Arguments: The market is hard to beat, but not perfectly efficient; some managers consistently generate alpha. 13F filings provide a legally required, public window into the holdings of large institutional managers. A delayed signal can still be valuable if the manager has low turnover and a long holding period. Buffett-style clone portfolios have historically outperformed broad equities with similar or only modestly higher volatility. Replicating long-only holdings can capture much of the value of hedge fund stock selection without paying 2-and-20 fees. Not every hedge fund strategy is suitable for replication; high-turnover, short-biased, macro, and arbitrage funds are poor fits. Investors can improve outcomes by selecting a small stable of high-quality managers rather than tracking the entire hedge fund universe. Taxes, liquidity, and custody control make 13F replication especially attractive for individual investors.

Data Points: Stock underperformance vs. broad market: 64% - From the Longboard Capitalism Distribution study, the share of stocks that underperformed the broad stock market index. Unprofitable stocks: 39% - Share of stocks in the study that were unprofitable investments. Severe losses: 19% - Share of stocks that lost at least 75% of their value. Market winners concentration: 25% - Share of stocks responsible for all of the market's gains. Berkshire long-term per-share market value growth: 21% compounded since 1965 - Buffett/Berkshire annual report figure cited as evidence of long-term outperformance. S&P long-term average return: about 10% - Used as the benchmark comparison for Berkshire's 21% compounded growth. 13F reporting lag: 45 days after quarter-end - The delay between quarter-end and when institutional holdings become publicly available. Berkshire clone backtest return: 9% annualized (2000-2016) - Historical return for the simulated portfolio built from Buffett's top holdings. S&P 500 backtest return: 4.9%-5% annualized (2000-2016) - Benchmark return used in the Berkshire clone comparison and broader discussion. Berkshire clone drawdown: 43% - Maximum drawdown for the backtested clone portfolio. S&P 500 drawdown: 50.9% - Maximum drawdown for the S&P 500 in the same backtest period. Buffett clone alpha vs. S&P: about 4-5 percentage points per year - Summary of the outperformance of the cloning strategy versus buying the index. Annual delay friction: ~1.5 percentage points per year - Estimated average impact of the 45-day lag when comparing immediate versus delayed rebalance testing. Berkshire clone underperformance frequency: 7 of last 10 years - Meb notes the clone underperformed the S&P 500 in seven of the previous ten years. Hedge fund standard fees: 2% management fee and 20% performance fee - Typical fee structure cited as a major reason to prefer 13F replication. David Tepper/Appaloosa performance: 19% per year - Backtested or portfolio performance attributed to following Tepper's holdings versus the market. Appaloosa vs. S&P: 4.9% for the S&P - Comparison benchmark mentioned in Tepper profile. Seth Klarman/Baupost performance: 10.2% annualized - Backtested portfolio return from tracking Klarman's holdings since 2000. Baupost top 10 concentration: 77% of market value - Illustrates Klarman's concentrated portfolio structure. Baupost flagship fund return: 17%+ annual return since founding - Described as the fund's long-term performance history. Baupost cash allocation: 40% or more - Klarman often keeps a large cash position, highlighting his defensive posture. David Tepper/Appaloosa flagship fund: 29% net annualized gain since July 1993 - Historical result cited to illustrate Tepper's track record. Appaloosa 2009 return: 120% net of fee - Attributed to the fund's distressed financial-sector bets after the crisis.

Pivotal Quotes: "I believe in the discipline of mastering the best that other people have ever figured out. I don't believe in just sitting there and trying to dream it all up yourself. Nobody's that smart." — Charlie Munger: Opening quote used to justify learning from great investors rather than reinventing investing from scratch. "The bets are zero-sum. In order for you to beat me in the game, it's like poker." — Ray Dalio: Used to frame investing as a competitive game where skill, research, and discipline matter. "Investing is the intersection of economics and psychology." — Seth Klarman: Explains Klarman’s view that valuation is only part of the process; behavior and patience are equally important.

Implications: For listeners, the message is to study elite managers, focus on low-turnover value investors, and use 13Fs as a cost-effective idea source—not a perfect replica. For the industry, transparency and data access can partially democratize hedge-fund-like returns.