An important question in banking is how strict supervision affects bank lending and in turn local business activity. Forcing banks to recognize losses could choke off lending and amplify local economic woes, especially after financial crises. But stricter supervision could also lead to changes...

An important question in banking is how strict supervision affects bank lending and in turn local business activity. Supervisors forcing banks to recognize losses could choke off lending and amplify local economic woes. But stricter supervision could also change how banks assess and manage...

We use a compound option-based structural credit risk model to infer a term structure of banking crisis risk from market data on bank stocks in daily frequency. Considering debt service payments with different maturities this term structure assigns a separate estimator for short- and long-term...

In this article, we first construct the empirical measure of spread (EMS) to capture the dynamics of quoted CDS spreads. It is the measure of creditworthiness of a company derived from the asset model in Egami and Kevkhishvili [2017]. We then use the information provided by the EMS to derive a...

Credit grades are ordinal measures of default risk that are used to rank the relative creditworthiness of different borrowers rather than the relative safety of different environments. They are assigned by specialized rating agencies, which face short-term pressures to fudge their rankings and...

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 proposes a set of models which can be used to estimate the market risk for a portfolio of crypto-currencies, and simultaneously to estimate also their credit risk using the Zero Price Probability (ZPP) model by Fantazzini et al (2008), which is a methodology to compute the...

This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice, alternative forecasting...

In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by computing their probability of death using the daily range. Unlike conventional low-frequency volatility models that only utilize close-to-close prices, the daily range incorporates all the information...

We want to assess the relationship between the equity and the debt cost of capital. Using a very simple dividend discount model we compute the implied discount rate and we compare it with the corresponding premium on the corporate credit default swap using a cointegration approach. We...