We suggest that banks contribute extensively to systemic risk only if they are both "risky" and centrally placed in the financial network. To calculate systemic risk we apply the CoVaR measure of Adrian and Brunnermeier (2016) and measure centrality using detailed US loan syndication data. In...

In statistics, samples are drawn from a population in a data generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence generating process (EGP). We claim that EGP variation...

This paper proposes a new model for computing Value-at-Risk forecasts. The model is fully non-parametric and easy to implement. Further, it incorporates information about the markets perceived uncertainty about the future. The future looking information is obtained from the option market via...

We derive exact expressions for the risk premia for general distributions in a Lucas economy and show that the errors when using log-linear approximations can be economically significant when the shocks are nonnormal. Assuming growth rates are Normal Inverse Gaussian (NIG) and fitting the...

Based on a screening model, we hypothesize that borrower risk will be over- (under-)priced in recessions (booms), and the loan spreads' sensitivity to default risk as a function of economic growth will be inverse U-shaped. We test this prediction using a sample of 5,300 U.S. commercial loans...

This paper is the first to compare the ability of the two structural credit risk models of Merton (1974) and Leland (1994a, b) to predict bankruptcy. We investigate different implementations of the Merton and Leland models on the whole CRSP/Compustat universe of firms from 1980 to 2015. Although...

This paper decomposes the popular risk measure Value-at-Risk (VaR) into one jump- and one continuous component. The continuous component corresponds to general market risk and the jump component is proportional to the event risk as defined in the Basel II accord. We find that event risk, which...

We test if innovations in investor risk aversion are a priced factor in the stock market as is predicted by models incorporating habit formation in preferences. Our proxy for time-varying risk aversion is based on the volatility risk premium series constructed by Bollerslev et al. (2007)....

We suggest that banks contribute extensively to systemic risk only if they are both “risky” and centrally placed in the financial network. To calculate systemic risk we apply the ∆CoVaR measure of Adrian and Brunnermeier (2016) and measure centrality using detailed US loan syndication...