Alex Gurevich on Global Macro Investing Strategies

Episode Summary

Executive Summary: The interview profiles hedge fund manager Alex Guerovich, founder of Hanta Advisors, tracing his path from mathematics PhD to macro trading and explaining his contrarian 2020 success. He emphasizes crisis-driven market behavior, the importance of trade ranking, the limits of options, the centrality of Fed policy and liquidity, and why March 2020 felt like a time-warp that justified his book’s Slack-message format and astrophysics metaphors.

Main Topics: From mathematics to macro trading (Priority: 5/5): Guerovich describes how a PhD in mathematics at the University of Chicago led to Wall Street trading, not quantitative research. He explains that he always wanted both theoretical math and finance, eventually choosing trading because he preferred markets and strategy over academic research. Career path through major banks (Priority: 4/5): He recounts his progression from Bankers Trust to Deutsche Bank to Chase and then JPMorgan, where he ran basis swaps, launched an asset swap franchise, and later moved into a proprietary macro role. He argues that market-making taught him how real markets function in stress. Crisis behavior: fear to necessity (Priority: 5/5): A central framework of the conversation is his view that crises begin with fear but end with necessity. He says liquidity shocks, forced deleveraging, margin pressure, and policy intervention create unstoppable flows that traders must anticipate. 2020 positioning and macro conviction (Priority: 5/5): Guerovich explains that his fund benefited from a strong pre-COVID thesis that rates were heading lower, helped by positioning in 2019 and the broader move to zero rates. He highlights that his edge came from ranking trades that could still work even if events did not unfold perfectly. Trade selection, options, and intermarket relationships (Priority: 4/5): He details his numerical trade-ranking system, his skepticism toward complex options, and his use of interest-rate differentials, currencies, and cross-asset relationships to find mispriced risk. He prefers trades with strong ex-ante asymmetry rather than headline-driven speculation. Communication style and the March 2020 book (Priority: 4/5): He explains the use of medieval warfare and astrophysics metaphors in his books, especially The Trades of March 2020, which includes extensive Slack transcripts to show the actual trading desk process. He argues this creates a more faithful record of how crisis trading really works. Fed policy, inflation, and digital assets (Priority: 4/5): Guerovich argues the Fed surprises markets more with cuts than hikes, criticizes raising rates to fight supply-driven inflation, and expects deflationary conditions ahead. He also views Bitcoin as digital gold and believes crypto is becoming a meaningful macro factor, especially as institutional custody grows.

Key Arguments: Trading success comes from understanding market structure and flow, not just economic theory; bank market-making provides essential real-world training. Crises are not orderly events; they start with fear, then become forced actions driven by liquidity needs, margin calls, and policy responses. The best trades are those that remain attractive even when the market does not cooperate, which is why he uses a ranking system to compare opportunities. He believes rates were structurally headed toward zero well before COVID, making bond and rate trades compelling on a long horizon. Options can be useful only when mispriced or when the distribution of outcomes is unusually non-normal; otherwise they are often structurally unfavorable for buyers. The Fed should be judged by what it will do, not what it should do; policy lags mean current inflation often reflects prior monetary and fiscal conditions. Bitcoin functions more like a store of value than a payments tool, and crypto is increasingly relevant to macro portfolios as markets and custody infrastructure mature. Long-term success in investing depends on patience, emotional discipline, and treating the career as a multi-decade game rather than a short-term contest.

Data Points: PhD: Mathematics from the University of Chicago - Guerovich’s academic training before entering Wall Street Year moved to the U.S.: 1989 - He moved to the United States in the middle of college First Wall Street job: 1997 - Joined Bankers Trust after graduate school JP Morgan article year: 2003 - Wall Street Journal called him a star trader after strong performance Hanta Advisors founded: Around 2015 - The fund began taking outside capital around 2016 Outside capital start: 2016 - Hanta started to take outside money 2020 ranking: Second in net return by Barclays - Performance during the COVID market turmoil Emerging manager ranking: Top 10 by Eurekahedge - Recognition for Guerovich and Hanta Advisors in 2020 Fed move discussed: 25 basis points - The March 2022 rate hike he references as largely expected Alternative Fed outcome discussed: 50 basis points - He considers a larger hike an outlier risk Slack transcript timing: 1 a.m., 3 a.m., 5 a.m., 7 a.m., 8 p.m., 10 p.m. - West Coast timestamps illustrating around-the-clock trading during March 2020 YouTube series watched: 46 videos - He watched math videos on large numbers during the pandemic AUM / desk references: Not specified - He describes the fund as not giant and the trading desk as small and highly active

Pivotal Quotes: "Every crisis starts with fear and ends with necessity." — Alex Guerovich: His explanation of how market crises evolve from panic into forced flows and policy action "Do as I say, but not always do I do: don't focus on what the Fed should do, focus on what the Fed will do." — Alex Guerovich: His advice on interpreting central bank policy and market reactions "I’d rather manage money than people." — Alex Guerovich: Why he prefers strategy and market analysis over building a large organization

Implications: Listeners get a detailed view of macro trading as a probabilistic, crisis-sensitive craft. For markets, the takeaway is that liquidity, policy lags, and cross-asset positioning matter more than forecasts alone.