We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...

In this study, we examine the association between the initiation of credit default swaps (CDS) trading and firms' earnings management behavior. Since CDS contracts help creditors transfer credit risk, creditors tend to be tough in debt renegotiations. Anticipating tough creditors, CDS firms may...

We examine the relationship between CDS spreads and annual report readability in this paper. Our results suggest that annual report readability is negatively related to CDS spreads. Furthermore, on the information supply side, the effect of readability on CDS spreads is more concentrated on...

This study investigates whether and how insider trading in the credit default swap (CDS) market is influenced by the corporate board network, formed by interlocking boards. We find strong evidence that firms with a more centralized position in the board network experience a higher degree of...

In this study, we examine whether the initiation of credit default swaps affects the reference entity's executive compensation design. With both human capital and financial capital highly associated with the firm's bankruptcy risk, risk averse managers prefer cash compensation over option...