• Exploring mispricing in the term structure of CDS spreads

      Jarrow, R.; Li, H.; Ye, Xiaoxia; Hu, M. (2019-02)
      Based on a reduced-form model of credit risk, we explore mispricing in the CDS spreads of North American companies and its economic content. Specifically, we develop a trading strategy using the model to trade out of sample market-neutral portfolios across the term structure of CDS contracts. Our empirical results show that the trading strategy exhibits abnormally large returns, confirming the existence and persistence of a mispricing. The aggregate returns of the trading strategy are positively related to the square of market-wide credit and liquidity risks, indicating that the mispricing is more pronounced when the market is more volatile. When implemented on the Markit data, the strategy shows significant economic value even after controlling for realistic transaction costs.
    • Exploring Statistical Arbitrage Opportunities in the Term Structure of CDS Spreads

      Jarrow, R.A.; Li, H.; Ye, Xiaoxia (2016-08-01)
      Based on a reduced-form model of credit risk, we explore statistical arbitrage opportunities in the CDS spreads of North American companies. Specifically, we develop a trading strategy using the model to trade market-neutral portfolios while controlling for realistic transaction costs. Empirical results show that our arbitrage strategy is of significant economic value, and also cast doubt on the efficiency of the CDS market. The aggregate returns of the trading strategy are positively related to the square of market-wide credit and liquidity risks, indicating that the market is less efficient when it is more volatile.
    • A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence

      Li, H.; Ye, Xiaoxia; Yu, F. (2016-07-28)
      Motivated by an extensive literature showing that government bond yields exhibit a strong non-Markov property, in the sense that moving averages of long-lagged yields significantly improve the predictability of excess bond returns. We then develop a systematic approach of constructing non-Markov Gaussian dynamic term structure models (GDTSMs) under the Heath-Jarrow-Morton (HJM) framework. Compared to the current literature, our approach is more flexible and parsimonious, enabling us to estimate an economically significant non-Markov effect that helps predict excess bond returns both in-sample and out-of-sample.
    • Unifying Gaussian Dynamic Term Structure Models from an HJM Perspective

      Li, H.; Ye, Xiaoxia; Fu, F. (2016-08-02)
      We show that the unified HJM-based approach of constructing Gaussian dynamic term structure models developed by Li, Ye, and Yu (2016) nests most existing GDTSMs as special cases. We also discuss issues of interest rate derivatives pricing under this approach and using integration to construct Markov representations of HJM models.