Estimation or mis-specification errors in the portfolio loss distribution can have a considerable impact on risk measures. This paper investigates the sensitivity of tail-related risk measures including the Value-at-Risk, expected shortfall and the expectile-quantile transformation level in an...

In this paper we investigate the interaction between a credit portfolio and another risk type, which can be thought of as market risk. Combining Merton-like factor models for credit risk with linear factor models for market risk, we analytically calculate their interrisk correlation and show how...

In this paper we investigate the interaction between a credit portfolio and another risktype, which can be thought of as market risk. Combining Merton-like factor models forcredit risk with linear factor models for market risk, we analytically calculate their interriskcorrelation and show how...

We compare the accuracy of cost of equity estimates based on leading factor models to two simple alternatives: the asset mean and the market mean. The market mean proves to be a serious competitor to traditional implementations of factor models even if the underlying factor model is true....

We develop a coherent framework for the valuation of real assets and determination of the optimal time to invest. To this end, we model the stochastic nature of income and develop methodologies for valuing traded derivatives to facilitate model calibration. A valuation paradigm for...

In this paper we define a new dynamic approach for measuring the Cash- Flow-at-Risk of a firm. Starting from the assumption that the balance sheet evolves according to a system of difference equations involving the most important accounting records, we define a new risk measure, tailored on our...

In this paper we investigate the interaction between a credit portfolio and another risk type, which can be thought of as market risk. Combining Merton-like factor models for credit risk with linear factor models for market risk, we analytically calculate their interrisk correlation and show how...

This paper examines the use of count data-based outcome variables such as corporate patents in empirical corporate finance research. We demonstrate that the common practice of regressing the log of one plus the count on covariates ("LOG1PLUS" regression) produces biased and inconsistent...

This paper uses the average of the percentile ranking of three measures of systemic risk - Granger Causality, Marginal Expected Shortfall, and Conditional Value at Risk - to calculate a single systemic risk index (SRI) for a lrm. The SRI is used to identify systemically important lrms (SIFs)...

This paper addresses an important and challenging issue as how best to model nonlinear asymmetric dynamics and cross-sectional heterogeneity, simultaneously, in the dynamic threshold panel data framework, in which both threshold variable and regressors are allowed to be endogenous. Depending on...