Episode Summary
Executive Summary: Brian Singer describes a valuation-driven global macro process that compares price to fundamental value across ~100 asset markets and 30 currencies, then uses macro themes, game theory, fragility, and risk analysis to size positions. He likes equities over bonds overall, but is more cautious given central-bank distortion, rule-based strategies, and market structure risks. Currencies are a major source of alpha, and bonds are seen as vulnerable despite higher equilibrium yields.
Main Topics: Valuation-based global macro framework (Priority: 5/5): Singer explains that his team analyzes around 100 asset markets and 30 currencies using macro fundamentals, then sizes long/short positions based on price-versus-value, confidence, and risk contribution rather than optimization. Macro themes and game-theory analysis (Priority: 5/5): The team studies broad themes like populism, energy, Chinese growth, Europe, and the Middle East, plus negotiation/game dynamics between countries to understand why mispricings exist and how they may resolve. Current asset class positioning (Priority: 4/5): He sees equities as generally attractive relative to bonds, but prefers certain regions and avoids the U.S., Canada, Japan, and most bonds; he favors select emerging markets, peripheral Europe, the UK, and short exposure to many bond markets. Currencies as a distinct alpha source (Priority: 5/5): Singer argues currencies can be invested in fundamentally via carry and convergence toward purchasing power parity, and says this has been the team’s most consistent performance contributor over two decades. Risk management and market fragility (Priority: 5/5): Rather than trying to predict catalysts, the team focuses on environments that are vulnerable to shocks and uses reduced exposure, cash, and downside-liquidity tactics to manage client-threatening drawdowns. Concerns about monetary policy and market structure (Priority: 5/5): Singer worries about prolonged global stimulus, the rise of rule-based strategies, the Volcker Rule’s reduction of bank balance-sheet support, and inconsistent circuit breakers, all of which could amplify a future selloff. Bond outlook and cash role (Priority: 4/5): He expects long-term U.S. yields to drift toward an equilibrium around 4%–5%, but says timing is uncertain, so cash and short-duration instruments can be preferable until a clearer edge emerges.
Key Arguments: The core process is to estimate fundamental value with macro data, compare it to market price, and only then decide whether to be long or short. Macro themes such as populism, energy, Chinese growth, Brexit, and Middle East tensions help explain mispricings and inform timing/magnitude. The team avoids traditional optimization because it creates unstable, corner-solution portfolios; instead it uses expected return, confidence, and risk contribution. Equities are generally more attractive than bonds on a fundamental basis, but U.S. equities are less compelling than select emerging markets and parts of Europe. Currencies are investable on fundamentals because exchange rates converge toward purchasing power parity faster than asset prices converge to fair value. Low yields and central-bank intervention have made most bond markets unattractive, though U.S. bonds are less unattractive than many developed markets. The biggest systemic risk is not a known catalyst but a fragile environment where stimulus, rules-based selling, limited dealer inventory, and circuit breakers could magnify a decline. When a downturn comes, the best defense may be to provide liquidity and own structures with convex downside behavior rather than buy expensive options. Cash is not a tactical afterthought; it is a key tool for controlling portfolio beta and lowering downside risk when opportunities are not compelling.
Data Points: Asset markets analyzed: about 100 - Singer said the team studies roughly 100 different asset markets globally. Currencies analyzed: about 30 - He said they actively trade around 30 currencies. Fundamental convergence for assets: 8–10 years - He said asset prices converge on fundamental value over roughly eight to 10 years. Fundamental convergence for currencies: 4–5 years - He said currencies converge on purchasing power parity about twice as fast as asset prices converge to fair value. Average transactions: 3–4 per month - He said the portfolio changes continually, averaging around three or four trades a month. Equity positioning: below signal - He said they are less long equities than signals would suggest because of caution. Bond positioning: below signal / more short - He said they are generally short bonds, but not as short as their model would fully suggest. Rule-based strategies share of market: about 6%–7% - He estimated the equity market portion driven by rule-based strategies like smart beta and related systematic products. U.S. 10-year equilibrium yield: about 4.5% - He estimated a long-run equilibrium yield based on real rates, term premium, and 2% inflation. Real risk-free rate: 1.5% - Used in his bond-yield decomposition as a long-run assumption. Term premium: about 1% - Added to the real risk-free rate in his bond equilibrium estimate. Inflation target: 2% - He referenced the Fed’s long-run inflation target in estimating fair value for yields. Low-volatility threshold cited: around 10% - He described the 1990s as a period when equity volatility hovered near 10% for several years. NASDAQ decline after dot-com bubble: about 70% - He cited the NASDAQ’s approximate peak-to-trough drawdown after the tech bubble burst. German Neuer Markt decline: about 90% - He noted the German tech-market index fell roughly 90% and became defunct. Circuit breaker levels in the U.S.: 7%, 13%, 20% - He referenced U.S. market-wide circuit breakers at those decline thresholds. Largest currency positions: 10%–15% long - He said some attractive currencies are held with long positions in this range.
Pivotal Quotes: "As a general rule, as we look around the markets, the equity markets actually do have value. They look attractive. Bonds do not." — Brian Singer: His high-level view on current asset-class valuation. "In the end, when it comes to actually setting the strategy, we use expected returns that are determined by price converging on fundamental value... and then we adjust those based on what edge we believe we have in the market." — Brian Singer: Summary of the team’s valuation-based allocation framework. "The problem is, like 87, with portfolio insurance, we now have a plethora of smart beta and risk parity and systematic quantitative strategies that are somewhat or completely rule-based." — Brian Singer: His concern that rule-based strategies could amplify a future drawdown.
Implications: Investors should think in terms of valuation, not narratives, and treat currencies and cash as meaningful portfolio tools. The main risk is a fragile, policy-distorted market where correlations spike and liquidity disappears, so downside protection should be built thoughtfully, not bought mechanically.
About The Meb Faber Show
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.