Inferring Stock Returns from CDS Spreads with Regime Switching
Summary
The document presents an analytically tractable stochastic model of stock dynamics that switches between healthy and distressed regimes. It uses this framework to connect realized credit default swap spreads with expected stock returns, treating spreads as a reflection of market views about future equity performance. The proposed signal could be used to compare stocks in a cross-sectional statistical arbitrage strategy.
The description outlines the model’s purpose and a possible trading application, but gives no equations, implementation details, empirical results, or evaluation of predictive strength. It therefore introduces a research idea rather than providing enough information to assess how the signal should be estimated or traded. The usefulness of the approach would depend on further evidence, including tests of the link between CDS spreads and subsequent returns, and consideration of the model’s assumptions and trading costs.
Key ideas
- The stock model allows dynamics to switch between healthy and distressed regimes.
- Realized CDS spreads are used to infer expected stock returns.
- The proposed return signal may support cross-sectional equity statistical arbitrage.
- The document does not report empirical validation or implementation details.
Tags
Full text
# Healthy... Distress... Default # Healthy... Distress... Default We discuss a simple, exactly solvable model of stochastic stock dynamics that incorporates regime switching between healthy and distressed regimes. Using this model, which is analytically tractable, we discuss a way of extracting expected returns for stocks from realized CDS spreads, essentially, the CDS market sentiment about future stock returns. This alpha/signal could be useful in a cross-sectional (statistical arbitrage) context for equities trading.
Shown in full with attribution under the source's licence. Licence: abstract CC0
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