We introduce a class of quantile-based risk measures that generalize Value at Risk (VaR) and, likewise Expected … probability of occurrence. The corresponding risk measure, called Loss VaR (LVaR), determines the minimal capital injection that … and applications to capital adequacy, portfolio risk management and catastrophic risk are presented …

The forward-looking nature of option market data allows one to derive economically-based and model-free risk measures … classical risk measures for the S&P500 Index. Delivering good results both at short and long time horizons, the proposed option …-implied risk metrics emerge as a convenient alternative to the existing risk measures …

We discuss risk measures representing the minimum amount of capital a financial institution needs to raise and invest …-additive risk measures, for which the eligible asset is a risk-free bond, on the grounds that the general case can be reduced to the … provide a variety of finiteness and continuity results for the corresponding risk measures and apply them to risk measures …

Monetary risk measures classify a financial position by the minimal amount of external capital that must be added to … the position to make it acceptable.We propose a new concept: intrinsic risk measures. The definition via external capital … is avoided and only internal resources appear. An intrinsic risk measure is defined by the smallest percentage of the …

We introduce and study the main properties of a class of convex risk measures that refine Expected Shortfall by … adjusted Expected Shortfalls quantify risk as the minimum amount of capital that has to be raised and injected into a financial … probability level p\in[0,1]. Through the choice of the benchmark risk profile g one can tailor the risk assessment to the specific …

I develop a dynamic capital structure model to examine how the nature of risk affects firm's debt policy. In the model …, firm's fundamental risk, captured by its cash flow process, consists of transitory and persistent parts with markedly … different dynamics. The model explains the observed dispersion in the risk-leverage relationship. Firms with similar total …

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk … quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead …, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially …

financial returns data and is used for the univariate fits, but its convolutions, necessary for portfolio risk calculations, are … computationally cheap and extremely accurate - most notably in the tail, which is crucial for risk calculations. A simulation study …

We introduce a new class of momentum strategies, the risk-adjusted time series momentum (RAMOM) strategies, which are … how these volatility measures can be used for risk management. We find that momentum risk management significantly … increases Sharpe ratios, but at the same time may lead to more pronounced negative skewness and tail risk. Furthermore, momentum …