This paper elucidates the importance of the information content of text information from public sources, including newspapers and corporate filings, has for credit market investors. We adopted news coverage and news tone to quantify text information from news articles. We captured the...

Using a structural model of default, we construct a measure of systemic default defined as the probability that many firms default at the same time. We account for correlations in defaults between firms through exposures to common shocks. The systemic default measure spikes during recession...

We propose a method to extract individual firms' risk-neutral return distributions by combining options and credit default swaps (CDS). Options provide information about the central part of the distribution, and CDS anchor the left tail. Jointly, options and CDS span the intermediate part of the...

We investigate the informational content of credit default swap (CDS) spreads for future volatility of (firm) assets and equity. In the cross-section, CDS spreads are significantly more informative about future asset than equity volatility. The informational content of historical and option...

This paper investigates the effect of credit risk on the return of stocks. We construct a systematic factor in relation to credit risk using the credit spreads of individual firms measured from the Merton (1974) model. This enables us to include firms without credit spreads or ratings...

This paper examines an issue overlooked in the finance and economics literature: time variation in announcement volatility or event risk. We combine long spans of high-frequency data with a flexible parametric model of returns, which al- lows to identify announcement returns, capture intraday...

The aim of this paper is to investigate the ability of the Dynamic Variance Gamma model, recently proposed by Bellini and Mercuri (2010), to evaluate option prices on the S&P500 index. We also provide a simple relation between the Dynamic Variance Gamma model and the Vix index. We use this...

Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the implemented techniques and the type of source on which...