The Private Credit Apocalypse That Isn’t Coming | Larry Swedroe Dispels the Myths

Episode Summary

Executive Summary: The episode centers on Larry Swedroe’s defense of private credit against media-driven panic. He argues the asset class is not monolithic, and that risks depend on structure, underwriting, diversification, liquidity management, and leverage. He says well-run, senior-secured, highly diversified platforms can offer attractive illiquidity premiums and may hold up better than public risk assets in downturns.

Main Topics: What private credit is and why it grew (Priority: 5/5): Private credit expanded after the 2008 financial crisis as banks tightened lending and businesses sought faster, more flexible financing outside the banking system. Misconceptions about private credit risk (Priority: 5/5): Swedroe argues the media lumps together very different private credit strategies, overstating losses and ignoring structural differences across funds and managers. Three core risks: liquidity, credit, concentration (Priority: 5/5): He frames due diligence around liquidity risk, credit risk, and concentration risk, emphasizing that these vary widely by vehicle and manager. Cliffwater as a case study (Priority: 4/5): Cliffwater is presented as a large, diversified, open-architecture example with senior-secured loans, strong liquidity planning, and low concentration relative to BDCs. Redemptions, gates, and liquidity management (Priority: 4/5): Swedroe explains how cash, public assets, bank lines, loan amortization/prepayments, and reinvestment help meet redemptions even in stressed periods. AI disruption and software lending (Priority: 3/5): He says AI is a real risk for some software borrowers, but the media overstates a broad SaaS apocalypse; embedded enterprise software is less vulnerable. Academic research and AI in finance (Priority: 3/5): Swedroe notes AI is transforming empirical finance research, but warns it can generate spurious correlations unless papers use robust testing and economic logic.

Key Arguments: Private credit grew because banks pulled back after 2008, creating demand for nonbank lending with faster approvals and more flexible terms. Private credit is not one asset class; risk depends on whether loans are senior secured, sponsored, diversified, and how much leverage is used. The three main risks are liquidity, credit, and concentration; investors should underwrite each separately rather than rely on headlines. Senior-secured, sponsor-backed loans with low loan-to-value ratios can have meaningful downside protection and lower loss rates. Open-architecture platforms can diversify across thousands of loans and reduce idiosyncratic risk far more than concentrated BDC structures. Media coverage often highlights gross outflows or isolated losses without showing net flows, portfolio context, or expected loss budgets. In a recession, private credit may still lose money, but diversified senior-secured funds could outperform equities and high-yield bonds. Liquidity risk can be managed through cash, public liquid sleeves, committed bank lines, loan amortization, and reinvestment of distributions. AI is a legitimate underwriting issue for software borrowers, but embedded enterprise software is harder to replace and may even benefit from AI adoption. Academic AI tools are useful, but investors must demand out-of-sample testing, robustness, transaction costs, and a plausible economic explanation.

Data Points: Private credit market size: almost $2 trillion - Swedroe describes the asset class as having grown from a niche to a very large market. Cliffwater assets in the space: almost $40 billion - He cites Cliffwater as the biggest player and a major reason it attracts media attention. Typical BDC concentration: top 25 loans = almost 61% of portfolio - Used to contrast concentrated BDCs with more diversified open-architecture funds. Cliffwater concentration: top 25 loans = 12% of portfolio - Illustrates much lower borrower concentration in Cliffwater’s structure. Cliffwater loan count: about 4,000 loans - Shows the scale and diversification of the open-architecture portfolio. Average loan-to-value: about 40% - Swedroe says this implies roughly 60% equity cushion before lenders are impaired. Historical loss rate, CDLI: 1% per annum - Cliffwater Direct Lending Index history back to 2004 includes the GFC period. Historical loss rate, CDLIS: 25 basis points per year - Senior-and-secured index with history from 2010 onward. Expected default rate: 2% - Swedroe says Cliffwater budgets for this level of defaults. Expected recovery rate: 70% - Implied loss severity of 30% on defaults. Expected annual loss from defaults: 60 basis points - Derived from 2% defaults and 70% recovery. Monthly loss budget: 5 basis points per month - He says Cliffwater reduces earnings by this amount each month. Recent loss example: $60 million - Losses on two credits discussed in media coverage. Loss as a share of assets: 18 basis points - He says $60 million on $33 billion and 4,000 loans was modest in context. Portfolio pre-2022 exposure: roughly 5% - Used to argue newer vintages reflect tighter underwriting and higher-rate conditions. Liquidity premium estimate: about 3% per year - Swedroe estimates the illiquidity premium versus public equivalents after adjusting for leverage. Guaranteed liquidity: 5% per quarter - He says interval fund structures can provide this level of liquidity to investors. Bank credit lines at Cliffwater: about 21% of the portfolio - Presented as a major source of liquidity support. Bank relationships: around 30 financial institutions - Used to show diversified funding sources. Leverage at Cliffwater: 21% at the moment - He says leverage is modest relative to many BDCs. Typical BDC leverage: 1% or more; can be 150% to 200% - Used to argue BDCs often rely on much higher leverage. Software exposure at Cliffwater: about 21% - He says this is typical for the industry and managed with AI-disruption underwriting. RMD at age 90: about 10% - Used to argue many high-net-worth investors overestimate liquidity needs. Expected fund return today: 9% - He references this as the expected return environment for private credit.

Pivotal Quotes: "This is far better situation, much less risky for the economy than when the banks are lending." — Larry Swedroe: He argues private credit is less systemically dangerous than bank lending because banks are the core liquidity providers to the economy. "Diversification, as you know, is the only free lunch in investing because you get the same expected return with much less risk." — Larry Swedroe: He explains why he prefers highly diversified open-architecture private credit platforms over concentrated managers. "They want to create a panic so that people tune in and read their articles." — Larry Swedroe: He criticizes media coverage of private credit for emphasizing sensational losses and outflows over context.

Implications: Investors should evaluate private credit at the manager and structure level, not as a single bucket. The key is senior-secured diversification, liquidity planning, and disciplined underwriting; otherwise, concentration and leverage can turn a yield premium into real downside.