Advertise on podcast: Alpha Exchange

Chris Hentemann launched 400 Capital Management in October of 2008, in the teeth of the Global Financial Crisis, with roughly $2.5 million of friends, family and mostly his own capital. Today, 400 Capital manages approximately $8 billion, focused on asset-based and securitized credit.   We begin with Chris’s early career at First Boston, Salomon Brothers and Bank of America, where he developed expertise across mortgages and structured products. Chris reflects on the extraordinary expansion of bank balance sheets leading into the GFC and why the combination of leverage, insufficient risk capital and misaligned incentives ultimately proved unsustainable.   That experience became foundational to the investment philosophy he would build at 400 Capital. Chris explains why he starts with raw, unlevered returns, looks for strong underlying asset selection, and seeks structures that provide asymmetric or convex outcomes.   We then turn to significant risk transfer, or SRT, and how regulatory changes created opportunities for private investors to assume credit risk that banks increasingly wanted off their balance sheets. Chris walks us through a recent transaction with OceanFirst involving a seasoned residential mortgage portfolio and explains both the underwriting and structuring behind the investment.   Lastly, we discuss the enormous AI infrastructure buildout. Chris explains why 400 Capital is cautious on data-center real estate itself but sees opportunity financing tangible assets such as power equipment and turbines. We finish with risk management, dry powder and why, at this point in the cycle, being a thoughtful second mover can sometimes be more valuable than being first.   I hope you enjoy this episode of the Alpha Exchange, my conversation with Chris Hentemann.

My guest today on the Alpha Exchange is the Convexity Maven, Harley Bassman. Harley joins me at a particularly interesting moment for markets, with long-end Treasury yields backing up, rate volatility elevated and the traditional relationship between stocks and bonds looking increasingly unsettled.   We begin with Harley’s argument that the rise in long-term yields is less an inflation story than a trust story. With large fiscal deficits, growing interest expense and an enormous amount of Treasury supply coming to market, he sees investors demanding greater compensation to own long-duration government debt. Add substantial borrowing from AI hyperscalers and a changing global buyer base, and the supply-demand equation for bonds becomes even more challenging.   We discuss why Harley thinks the Fed is in a difficult position, how higher real yields are affecting housing affordability, and why changes in the transmission of monetary policy may make the policy rate less powerful than it once was.   Harley then gives us a tutorial on the MOVE Index, which he created in 1994 using data extending back to 1988. We discuss what a MOVE reading above 100 actually means, how today’s volatility compares with history, and why seemingly extreme levels can sometimes simply represent a return to an older market regime.   We finish with options, forward rates, equity-market flows, and the conditions Harley believes could finally make higher rates matter for stocks.   I hope you enjoy this episode of the Alpha Exchange, my conversation with Harley Bassman.

With one of the largest repricings in fixed income in decades underway, Brij joins me for a wide-ranging conversation on monetary policy, inflation, the wealth effect and where he sees opportunity across global bond markets.We begin with a provocative question: what if interest rates have become more effective at influencing financial markets than the real economy? Here, Brij argues that the traditional relationship between rates and business investment has weakened considerably. Ultra-low and negative real rates did not necessarily generate the productive investment policymakers hoped for. Instead, they helped encourage greater financialization, from household leverage and corporate stock buybacks to private equity activity and, more recently, government borrowing.That leads us to inflation and Brij's argument that today's remaining price pressures are increasingly connected to wealth rather than wages. With an enormous amount of household wealth tied to equities, particularly among older generations, we explore how asset-price appreciation can support spending in areas like housing, healthcare, restaurants and travel even as labor-market demand cools.We then turn to the Fed and the dramatic repricing underway across developed-market yield curves. Brij explains why the front end remains closely tied to expectations for monetary policy, while longer-dated yields incorporate a much broader debate around nominal growth, term premium and the economic consequences of the AI investment boom.AI itself becomes an important part of the discussion. We examine whether extraordinary capital spending and borrowing by hyperscalers are contributing to higher bond yields, changing the traditional stock-bond relationship and potentially crowding out other borrowers.I hope you enjoy this episode of the Alpha Exchange, my conversation with Brij Khurana.

It was a pleasure to welcome Amanda Lynam, Chief Credit Strategist in Global Investment Research at Goldman Sachs, back to the podcast. Nearly three years after our first conversation, much has changed!  With the extraordinary capital expenditure cycle underway in artificial intelligence, there is no shortage of questions about how the corporate credit market will finance it and what the growing supply of debt means for investors.   We begin with Amanda’s assessment of the broader credit landscape. She describes a market supported by resilient economic growth, generally solid corporate fundamentals, and powerful demand from yield-oriented investors, including insurers, pensions, and foreign buyers. These forces have kept periods of spread widening relatively brief, even as issuance has accelerated.   We then turn to the scale of the AI buildout. Amanda walks us through Goldman Sachs’ estimates for hyperscaler capital expenditures and debt issuance, along with the financing needs of data centers, chips and other businesses supporting the AI ecosystem. We discuss why companies are raising debt before an immediate funding gap appears, how much issuance the investment-grade market can absorb and why private markets may take on a larger role as the cycle progresses.   Importantly, Amanda sees little evidence so far that AI borrowing is crowding out other corporate issuers. Instead, investors appear increasingly attentive to their total exposure to the theme across equities, bonds, and private assets. That creates a renewed role for sectors such as banks, energy, healthcare and food and beverage as sources of diversification.   Lastly, we explore the risks that could challenge today’s supportive credit backdrop, particularly an increase in rates volatility that weakens yield-based demand. Amanda also discusses the evolving high-yield market, the software refinancing calendar, and the role of real assets in portfolio construction.   I hope you enjoy this episode of the Alpha Exchange, my conversation with Amanda Lynam.

Kimberly Gallant, the Global Head of QIS Structuring at CIBC, has spent nearly two decades working across quantitative investment strategies, derivatives and structuring. Our conversation is a deep dive into the evolution of QIS and the economic rationale behind these increasingly important systematic investment strategies.   We begin by exploring the origins of QIS and how ideas from academia, pension funds, commodity markets and bank trading desks ultimately converged into a cross-asset business focused on generating alternative sources of return. Kimberly explains that at its core, QIS is about identifying persistent factors, facilitating risk transfer between market participants and packaging these exposures in a transparent and efficient way.   The discussion turns to carry and volatility risk premia. Kimberly describes carry as compensation for taking a risk that another market participant needs to transfer—essentially the insurance premium of financial markets. Importantly, she explains why an attractive backtest alone is never enough. Investors must first understand the economic hypothesis behind a premium and whether the market structure supporting it is likely to persist.   Lastly, we discuss crowding, leverage and correlation. Kimberly explains how a strategy can evolve from alpha to a fairly compensated risk premium, and how crowding can initially make performance appear stronger before a market shock exposes the underlying positioning. Unexpected correlations and forced unwinds can then turn what should have been a contained event into something much larger.   I hope you enjoy this episode of the Alpha Exchange, my conversation with Kimberly Gallant.

In this discussion, I make the case for tail hedging. I communicate two main ideas. First, I lay out the concept of the “fourth type of risk off”, an episode that features instability in the back end of the US bond market. As I’ve said, nothing can really work in markets if the Treasury market does not. Count me as worried that the US fiscal issues are incredibly difficult to solve – we wouldn’t be here otherwise – and that the timeline to address them has shortened.Second, I argue that the US economy and market are far too exposed to the AI capex trade. There are various correlations that emerge, two of which are among the companies in the value chain and between the economy and the market. The AI buildout is demanding capital that is likely putting upward pressure on real rates. A prospective homebuyer may certainly find a 7% mortgage rate restrictive. A hyperscaler chasing AI gold may not find the current cost of debt capital restrictive at all. If getting inflation to target means slowing this capex materially, leading to a meaningful decline in the equity market, there could be substantial knock-on impacts via the wealth effect and an economy which has gathered so much beta to ongoing capex.These concerns are set against some of the lowest prices for financial market insurance we have seen in a long time. I find tremendous value in long optionality. Buckle up. The midterms are coming, monetary policy is in flux, the back end of the yield curve is wobbling, the AI trade is way too concentrated, and implied volatility is quite low.I wish you a wonderful holiday weekend and thank you for listening.

I really enjoyed hosting this Alpha Exchange discussion with Ulrike Hoffmann-Burchardi, CIO for the Americas and Global Head of Equities at UBS Global Wealth Management. Ulrike has had a long career in markets, having spent nearly 25 years at Tudor Investment Corporation working across quantitative macro and global tactical asset allocation before joining UBS. We begin with Ulrike’s academic background in economics, political science and financial econometrics and the path that ultimately brought her from academia to Tudor. She reflects on the culture created by Paul Tudor Jones and several lessons that stayed with her throughout her career: the importance of respecting trends, sizing positions appropriately, understanding liquidity and recognizing that while markets continually evolve, the human emotions driving them remain remarkably consistent. We then turn to portfolio construction at UBS, where Ulrike and her team combine three distinct lenses: macro, bottom-up fundamentals and structural trends. Within that structural framework, they are focused on three transformational opportunities—artificial intelligence, power and resources, and longevity. We discuss how AI connects all three and why the enormous capital expenditure associated with its development is increasingly becoming a macro factor in its own right. Ulrike walks us through the potential bottlenecks to the AI buildout, from electricity and grid capacity to permitting, turbines and transformers, as well as the possibility that monetization fails to keep pace with investment. We also explore opportunities across the AI value chain, including semiconductors, power, industrials, materials and healthcare. Lastly, we discuss hidden correlations and why portfolios that appear diversified across traditional asset classes may share common underlying exposures. I hope you enjoy this episode of the Alpha Exchange, my conversation with Ulrike Hoffmann-Burchardi.

The IMF’s Global Financial Stability Report is a twice yearly, must read. Leading the excellent research done here is Tobias Adrian, Financial Counsellor and Director of the Monetary and Capital Markets Department at the IMF. It was a pleasure to welcome Tobias to the podcast to explore the IMF’s financial stability framework, vulnerabilities in global markets, and the evolving risks shaping the financial system. We begin with Tobias’ role and the evolution of the GFSR, which combines market intelligence, analytical research, and a framework for assessing financial vulnerabilities. He explains how the report has shifted alongside the macro backdrop, from an environment defined by low inflation and negative-yielding debt to one characterized by higher inflation, tighter financial conditions, and geopolitical uncertainty. A central theme throughout the conversation is the distinction between forecasting shocks and identifying vulnerabilities. Tobias describes how the IMF focuses on leverage, maturity transformation, valuation, currency mismatches, and interconnectedness rather than attempting to predict the next catalyst. The discussion explores how these vulnerabilities can amplify the effects of unexpected shocks across financial markets. We then turn to several themes from the most recent GFSR. Tobias discusses artificial intelligence as both a driver of investment and productivity while examining the financial linkages, capital spending, and interconnectedness developing across the AI ecosystem. He also outlines the IMF’s assessment of sovereign debt, rising term premiums, and the growing role of non-bank financial institutions in financing global markets. The latter part of the discussion focuses on market plumbing, including leverage in hedge funds, Treasury basis trades, derivatives markets, and the challenges of monitoring system-wide positioning. Tobias explains how liquidity, options markets, and quantitative strategies can contribute to vulnerabilities that become apparent during periods of market stress. I hope you enjoy this episode of the Alpha Exchange, my conversation with Tobias Adrian.

It was a pleasure to welcome Jon Havice, Founder and CIO of DGV Solutions, back to the Alpha Exchange. Our conversation explores systematic investing, volatility risk premia, and portfolio construction for institutional investors.   We begin with Jon's path from trading currency options and derivatives at O'Connor and UBS through hedge fund management and investment consulting before founding DGV Solutions. He reflects on advising endowments, foundations, and healthcare systems, and explains how those experiences shaped a philosophy centered on delivering liquid, systematic investment strategies designed to help institutions pursue long-term objectives while managing downside risk.   The discussion focuses on DGV's approach to accessing equity beta through a collateralized put-write strategy. Jon discusses the volatility risk premium as a persistent feature of options markets, comparing it to traditional insurance markets where investors are willing to pay for downside protection. He explains how systematic option-writing seeks to capture that premium while emphasizing disciplined risk management, position sizing, and maintaining sufficient collateral through changing volatility regimes.   We then broaden the conversation to the firm's suite of strategies across asset classes. Jon outlines how DGV applies carry, value, momentum, and trend factors differently across equities, foreign exchange, and commodities, noting that each market exhibits distinct characteristics that influence which factors have historically been most effective. Examples include combining value and carry in developed market currencies and pairing carry with momentum in commodity markets.   The latter part of the discussion focuses on portfolio construction, leverage, and risk management. Jon explains why DGV places significant emphasis on stress testing, limiting leverage, and maintaining control of portfolio positions through periods of market stress.   We conclude with Jon's perspective on diversification, artificial intelligence, passive investing, and structural changes across financial markets that continue to influence institutional portfolio management.   I hope you enjoy this episode of the Alpha Exchange, my conversation with Jon Havice.

It's been a busy year for the Alpha Exchange podcast — 25 episodes so far and an exciting fall schedule ahead. Today I'm going solo, assessing a backdrop for market risk that has proven quite unique this year. In the discussion that follows, I want to share what's on my mind with respect to the prices we all stare at every day, and tie together three crosscurrents that look separate on the surface but are really one story. These themes are low correlation, spot up vol up dynamics, and the cheapness of market-based insurance.   First, correlation. Realized and implied correlation among S&P stocks have fallen to levels never seen before — one-month realized printed 0.4% in late July — and that's pinning index vol to the floor even as the stocks inside get more volatile. On the second front, a meaningful cohort of stocks are experiencing massive returns, and, atypically, seeing their options become more expensive at the same time. This is amplified by leveraged ETFs and there are unique implications for risk and trade construction.   Lastly, I argue that the price of insurance across equities, rates, FX and credit is exceptionally low relative to the vast uncertainty in markets, technology, and global affairs. If anything, the already rapid pace of change is only set to accelerate from here. It’s a good idea to accumulate shock-absorbing options at low prices during sunny days. They will come in handy when the inevitable risk-off occurs, which I see as an underpriced scenario.   I hope you find this interesting and useful. Thank you for listening.   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

It was a pleasure to welcome Alec Litowitz, the Founder of Magnetar Capital and QStar Capital, to the Alpha Exchange. Central to our discussion is an exploration of the ideas in Alec’s new book, The Adaptability Quotient. Here, he draws on more than thirty years of investing across multiple market regimes. We begin with Alec’s three decades in financial markets, from his early years at Citadel through the founding of Magnetar. Looking back across multiple market cycles, he argues that long-term investing success is driven by more than intelligence alone. Instead, he introduces the concept of Adaptability Quotient, or AQ, emphasizing the ability to revise views, respond to changing conditions, and distinguish between environments defined by risk, uncertainty, and black swans. A central theme throughout the discussion is decision-making under uncertainty. Alec explains why markets spend much of their time in environments where outcomes are possible, but probabilities remain difficult to estimate. He outlines a framework centered on metacognition, simulation, experimentation, and continuous feedback, encouraging investors to develop "strong opinions, weakly held" while remaining willing to revise conclusions as new information emerges. The conversation then turns to practical investing examples drawn from Alec’s career. He reflects on building Citadel’s risk arbitrage business by developing proprietary research processes around regulatory uncertainty, and later discusses Magnetar’s emphasis on sourcing, structuring, and risk management in areas undergoing structural change. Examples include investments tied to energy infrastructure and AI-related computing capacity, illustrating how the firm approached evolving industries through the lens of uncertainty rather than prediction. I hope you enjoy this episode of the Alpha Exchange, my conversation with Alec Litowitz.

It was a pleasure to host an Alpha Exchange discussion with Franklin Parlamis, the Founder and CIO of Aequim Alternative Investments. Franklin brings a distinctive perspective shaped by two decades in capital structure and convertible bond arbitrage. His career spans the Russian debt restructuring of 1998—where he witnessed firsthand how broken correlations can unwind hedges—through the convertible market collapse of 2008, when leverage amplified systemic stress and "the machine broke." Our conversation explores how convertibles sit at the nexus of multiple asset classes: rates, rate volatility, credit, credit volatility, equities, and stock lending. When any of these inputs malfunctions, arbitrage breaks down. Franklin's experience navigating the GFC reinforced a critical lesson: sometimes the bravest move is admitting losses and right-sizing risk, a discipline that positioned his team to prosper during 2009's rebound. Franklin articulates a central insight: markets are generally good at identifying undervalued companies but less efficient at allocating value across the capital structure. The key tension he navigates is credit spreads versus equity volatility. When spreads are wide and implied vol is low, convertibles offer clean arbitrage: the rich credit premium can fund put protection at cheap vol levels. Today's environment inverts this relationship: spreads remain tight while vol sits elevated, forcing arbitrageurs to continuously realize vega rather than harvest it passively. We close by examining whether elevated implied volatilities represent a permanent regime shift or cyclical peak. Rather than making a binary call, Franklin describes the process he uses to identify asymmetric opportunities across plausible scenarios. I hope you enjoy this episode of the Alpha Exchange, my conversation with Franklin Parlamis.

It was a pleasure to welcome David Silber, Head of Institutional Equity Derivatives at Citadel Securities, to the Alpha Exchange to discuss the evolution of listed options markets, institutional liquidity, and the technology reshaping modern derivatives trading. We begin with Dave’s early career on the floor of the Chicago Board Options Exchange during the transition to multi-listed options, where market making, open outcry, and physical proximity to order flow defined liquidity provision. He reflects on the evolution of the options market from paper tickets and fractional pricing to today's electronic ecosystem, highlighting how advances in technology have fundamentally changed both price discovery and risk management. We then turn to the creation of Citadel Securities’ institutional derivatives business. Dave explains how his experience across multiple firms led him to identify opportunities to reduce friction in institutional options execution by combining technology, quantitative research, and broad access to liquidity. He describes how automation, electronic execution, and competitive pricing have transformed the institutional trading experience while expanding access to listed options. The discussion also examines recent growth in listed options markets, including increasing contract volumes, shorter-dated expirations, and the expanding use of listed options by institutional investors for hedging, leverage, and portfolio management. Dave shares his perspective on liquidity provision, risk management, and the importance of maintaining resilient markets during periods of elevated activity. We conclude with a discussion on recruiting talent, developing strategy and data products for clients, and aligning sales, trading, and technology teams around creating a more efficient experience for institutional investors. I hope you enjoy this episode of the Alpha Exchange, my conversation with David Silber.

What causes significant risk-off events? Can they be anticipated to any degree? Understanding the how and why of these episodes is critical for investors seeking to avoid drawdowns. In this short podcast, I share how I think about episodes of risk-off, with particular attention to the interaction between stock and bond prices — before, during, and after market vol events. I outline three type of risk-off: the classic, the taper, and the liquidation, and provide examples of each. I also propose a fourth, in which the US Treasury market is itself the source of global instability.  I hope you find this discussion useful and I wish you an excellent July 4th holiday.    Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

Aaron Brown is a Wall Street quant, risk manager, and trader. He’s also a professor and the author of the recent book Wrong Number—on probability, reasoning, and the role of skepticism in markets and beyond.   We begin with Aaron’s unconventional path into finance, from identifying betting opportunities in horse racing and playing professional poker to studying under pioneers including Fischer Black before spending decades on Wall Street.   The conversation explores how concepts from poker—including bankroll management, Kelly sizing, and separating risk management from individual decisions—translate into portfolio construction and investing.   We then turn to Aaron’s latest book, Wrong Number, which examines the misuse and misinterpretation of statistics across a range of public policy and scientific topics. He discusses common errors surrounding p-values, data quality, and the incentives that shape published research, emphasizing the importance of skepticism and careful interpretation of statistical claims.   The discussion shifts back to financial markets, including factor investing and the evolution of systematic strategies. Aaron reflects on the distinction between economically meaningful factors and statistical overfitting, while also discussing how artificial intelligence may improve risk management and market surveillance.   We conclude by exploring prediction markets, the wisdom of crowds, and price formation. Aaron shares his perspective on probability, market games, and the role prediction markets can play in helping participants better understand both market expectations and their own decision-making. I hope you enjoy this episode of the Alpha Exchange, my conversation with Aaron Brown.