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Producing theoretical backtests that demonstrate outperformance in corporate credit is relatively easy, but execution slippage frequently destroys simulated returns. Institutional allocators conducting due diligence on systematic credit managers must scrutinize live implementation track records and scale rather than hypothetical backtest models.
A successful systematic credit strategy is not just about predicting returns. It equally relies on accurately forecasting the associated risks and, crucially, the transaction costs, described as avoiding giving a 'liver and a kidney to Goldman Sachs.'
During due diligence, it's crucial to look beyond returns. Top allocators analyze a manager's decision-making process, not just the outcome. They penalize managers who were “right for the wrong reasons” (luck) and give credit to those who were “wrong for the right reasons” (good process, bad luck).
In credit markets, where transaction costs can reach 70-80 basis points for high-yield bonds, a systematic strategy's success hinges equally on its trading efficiency as on its return forecasts. A good model is useless if its alpha is consumed by trading costs.
Corporate credit markets effectively discount aggregate macroeconomic information, leaving little edge in directional spread timing. Systematic strategies maintain fully invested, benchmark-aware exposure to harvest alpha purely from temporary cross-sectional deviations between individual bond prices and fundamental fair values.
Many believe active managers easily beat fixed income benchmarks. Lori Heinel argues this 'alpha' is often just closet indexing with added credit or duration risk. Factor-based analysis reveals that managers aren't necessarily more skilled; they're just taking on more risk, which can be replicated systematically.
Contrary to equity investing where individual winners drive returns, the majority of alpha in credit comes from superior portfolio construction and risk management. The job is to avoid losers through a rigorous process, not to be a "star loan picker," as upside is inherently capped.
When evaluating a backtest, investors should distrust any model that shows impressive returns without also revealing why the strategy is incredibly difficult to implement. A believable backtest must demonstrate the associated pain, such as long periods of underperformance or high career risk, which explains why the potential for future returns exists.
Corporate bond transaction costs represent a high proportion of total asset volatility compared to equities or macro strategies. To prevent trading friction from eroding excess returns, systematic credit models continuously assess transaction costs, limiting turnover to one to one-and-a-half times annually.
Market drawdowns initially create indiscriminate selling where fundamentally sound and weak issuers trade down together. Systematic strategies generate their highest alpha during the subsequent rationalization period, when dispersion resolves and markets differentiate strong credits from distressed issuers.
Barclays' research shows that the best investment performance comes from combining fundamental analysts with systematic signals. The key is to filter out trades where the two perspectives diverge, as this method is exceptionally effective at eliminating potential losing investments and generating alpha.