Why is price discovery in credit default swap markets news-specific?

Why is Price Discovery in Credit Default Swap

Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming

The credit default swap has become well-known as one of the causes of the 2007-2010 credit crisis but more research is vitally needed to analyze and define its impact more precisely and help the financial market transparency. This paper uses cartesian genetic programming as a discovery tool for finding the relationship between credit default swap spreads and debts and studying the arbitrage cha...

Comparing Prediction Power of Artificial Neural Networks Compound Models in Predicting Credit Default Swap Prices through Black–Scholes–Merton Model

Default risk is one of the most important types of risks, and credit default swap (CDS) is one of the most effective financial instruments to cover such risks. The lack of these instruments may reduce investment attraction, particularly for international investors, and impose potential losses on the economy of the countries lacking such financial instruments, among them, Iran. After the 2007 fi...

Insider trading in credit derivatives

Insider trading in the credit derivatives market has become a significant concern for regulators and participants. This paper attempts to quantify the problem. Using news reflected in the stock market as a benchmark for public information, we find significant incremental information revelation in the credit default swap market under circumstances consistent with the use of non-public informatio...

A Structural Jump Threshold Framework for Credit Risk

This paper presents a new structural framework for multidimensional default risk. We define the time of default as the first time the log-return of the stock price of a firm jumps below a (possibly nonconstant) default level. When stock prices are exponential Lévy, this framework is equivalent to a reduced form approach, where the intensity process is parametrized by a Lévy measure. The depende...