Cross-market deviations in equity put option prices and credit default swap spreads are temporal and revert to their usual level shortly after they occur, on average within about one week. The process of reversion involves predictable and economically significant changes also in the equity...

Credit Value Adjustment (CVA) has been one of the "hot topics" in the financial industry since 2009. There have been several papers on the subject and the topic has been widely discussed in all banking conferences around the world. However, often, the fundamentals of this topic have been...

The Global Financial Crisis had a severe impact on the commodity markets on top of the well-known effects on the worldwide economy. Not only the demand for commodities decreased severely thereby hurting the creditworthiness of participants in the wholesale commodity markets, but also the...

This paper investigates the impact of bank competition in Sub-Saharan Africa on bank non-performing loans, a measure of credit risk. Using bank-level data for a sample of 221 banks from 33 countries over the period 2000-15, we find a non-linear or U-shaped relationship between bank competition...

We study the relationship between the risk of default and Environmental, Social and Governance (ESG) factors using Supervised Machine Learning (SML) techniques on a cross-section of European listed companies. Our proxy for credit risk is the z-score originally proposed by Altman (1968).We...

Repo markets offering central counterparty (CCP) clearing and anonymized trading were remarkably resilient during the recent crises. We use the full transaction level dataset on all repo trades on Eurex Repo, including identifiers for market participants, to provide a detailed description of the...

Using highly detailed data on the loan portfolios of large U.S. banks, we document that these banks "specialize" by concentrating their lending disproportionately into one industry. This specialization improves a bank’s industry-specific knowledge and allows it to offer generous loan terms to...

We study the relationship between the risk of default and Environmental, Social, and Governance (ESG) factors using Machine Learning (ML) techniques on a cross-section of European listed companies. Our proxy for credit risk is the z-score originally proposed by Altman (1968). We consider an...

We study the relationship between the risk of default and Environmental, Social and Governance (ESG) factors using Supervised Machine Learning (SML) techniques on a crosssection of European listed companies. Our proxy for credit risk is the z-score originally proposed by Altman (1968). We...

Using data from the Survey on Italian Households' Income and Wealth gathered by the Bank of Italy, I test the effect of soft and hard information on households' probability of becoming insolvent during the crisis. I find that both help in reducing defaults, but the effect of hard information is...