Structural credit risk models account for the average level of default rates within rating categories only when calibrated on a firm by firm basis. Nevertheless, firm-specific information matters little when one is interested in forecasting the path of default rates over time. This is because...

This paper presents a methodology which blends sensitivity analysis and fuzzy arithmetic for managing uncertainty in project financing transactions. Specifically, we adopt the perspective of the equityholders and use the average Return On Equity (ROE) to measure shareholder value creation and,...

We examine the inclusion of ESG variables, with commonly used financial variables into multi-class corporate credit rating prediction. Using random forests and extremely randomized trees, with mean decrease impurity, mean decrease accuracy and SHapley Additive exPlanations feature importance...

This paper shows the most relevant value creation indicator in a competitive economic equilibrium framework. We analyze the relationship between the cost of capital and the competitive dynamics of the firm. Several related propositions on the most relevant value creation indicator under a...

This paper shows the relevant value creation indicator in a competitive economic equilibrium framework. We analyze the relationship between the cost of capital and the competitive dynamics of the firm. Several related propositions on the most relevant value creation indicator under dynamic...

The purpose of this paper is to investigate whether a dynamic Value at Risk model and high frequency realized volatility models can improve the accuracy of 1-day ahead VaR forecasting beyond the performance of frequently used models. As such, this paper constructs 60 conditional volatility...

This paper revisits the performance of frequently used risk forecasting methods, such as the Value-at-Risk models. The aim is to analyze its performance, and mitigate its pitfalls by incorporating conditional variance estimates, as generated by a GARCH model. Notably, this paper tests several...

I document large variation in empirical methodology in corporate finance regressions in top finance journals. Although methodological variation allows for customization of empirical tests to fit specific theories, it can also enable excessive reporting of statistically significant results. For...

Reporting the economic significance of findings in empirical corporate finance has become increasingly common, but a review of the literature from 2000 to 2018 reveals problems with standard practice that make it difficult to judge the importance of reported results. Common problems include...

This paper presents a simple method to estimate the collateral associated with a Aaa tranche. The method is similar to historical simulation in the sense that there are no specific distributional assumptions, and the data fully determine the characteristics of the distribution. Both the...