Local governments often seek credit ratings from multiple agencies for external financing. Rating shopping and catering, the incentives of the rating agencies, and the career incentives of the analysts issuing the ratings may render the ratings interdependent. This paper estimates the feedback...

We empirically investigated the impact of regulatory risk retention methods on credit ratings and pricing at issuance using a sample of European securitization tranches issued in the period 2011-2021. European regulation is based on the assumption that all risk retention methods homogenously...

During the past forty years, the simultaneous, symbiotic growth of financial innovation, disintermediation and deregulation has created an environment with extremely complex, opaque investment instruments. That system has now collapsed. At the very center of the crisis are a small group of...

Rather than assuming a fixed recovery rate in estimation, we estimate recovery rates from CDS spreads, using three years of daily data on 152 corporates. We use a quadratic pricing model which ensures nonnegative default probabilities and recovery rates. The estimated cross-section of recovery...

We evaluate the viability of credit default swaps (CDS) spreads as substitutes for credit ratings. We focus on CDS spreads based on the obligations of financial institutions, particularly fifteen large financial institutions that were prominently involved in the recent financial crisis. Our...

This paper attempts to investigate the impact of credit information sharing on bank-specific stock price crash risk. Using a sample of 1,402 listed-banks in 55 countries for the period 2005-2013, we show that credit information sharing through public credit registries is negatively associated...

This paper demonstrates how deep learning can be used to price and calibrate models of credit risk. Deep neural networks can learn structural and reduced-form models with high degrees of accuracy. For complex credit risk models, whose closed-form solutions are not available, deep learning offers...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

Expectations of risky bond payments are unobservable and recovery rates for sovereigns are hard to estimate because they have no contractual claims to defined assets and samples of defaults are limited. A geometric version of credit spread is used to derive expected payments, dependent on...