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.