This paper shows that the stock price of the rating agency Moody's reacts negatively to rating actions that are perceived to indicate low rating quality. The reaction is economically significant. The cumulative effect corresponds to a 20% loss in market capitalization. This suggests that market...

I apply standard time series models to US housing prices. Forecasts made in 2005 or earlier would have produced stress scenarios that are worse than the subsequent actual change in housing prices. The probability of these scenarios is in the range that financial institutions should consider in...

We examine whether the magnitude of financial benefits derived from corporate green bond issuance is associated with the magnitude of future reductions in carbon emissions of non-financial corporates. We find a significantly negative relationship between the volume of issued green bonds and...

In this paper, we propose novel predictor variables for forecasting stock market returns. We investigate the predictive power of the demand for gold coins and bars as a proxy for the risk premium consistent with the safe haven property of gold. The gold demand variables reflect the behaviour of...

We investigate the effect of analyst distance in the credit rating industry and show that issuers with analysts located in more distant offices have lower default rates than issuers with closer analysts and the same rating. Our results are robust to an analyst home bias and suggest that more...

To resolve the IPO underpricing puzzle it is essential to analyze who knows what when during the issuing process. In Germany, broker-dealers make a market in IPOs during the subscription period. We examine these pre-issue prices and find that they are highly informative. They are closer to the...

Evaluating the quality of credit portfolio risk models is an important issue for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data. We show that their proposal disregards cross-sectional...

Using an asset-based model of default, I derive rating characteristics if ratings are meant to look 'through the cycle' as opposed to being based on the borrowers' current condition. The through-the-cycle method, which is employed by most rating agencies, requires a separation of permanent and...

We propose a Bayesian methodology that enables banks to improve their credit scoring models by imposing prior information. As prior information, we use coefficients from credit scoring models estimated on other data sets. Through simulations, we explore the default prediction power of three...