This article reviews two leading measures of financial risk and an emerging alternative. Embraced by the Basel accords …, value-at-risk and expected shortfall are the leading measures of financial risk. Expectiles offset the weaknesses of value-at-risk … (VaR) and expected shortfall. Indeed, expectiles are the only elicitable law-invariant coherent risk measures. After …

We introduce a neural network approach for assessing the risk of a portfolio of assets and liabilities over a given … value-at-risk and expected shortfall, but the approach also works for other risk measures. …

Recent crises in the financial industry have shown weaknesses in the modeling of Risk-Weighted Assets (RWAs …). Relatively minor model changes may lead to substantial changes in the RWA numbers. Similar problems are encountered in the Value-at-Risk …

The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil … Conditional Auto-Regressive Logit (CARL) models to predict risk measures for the futures return series of the considered … models in order to predict the probability of tail events and the Value-at-Risk and the Expected Shortfall risk measures for …

Credit risk is a critical issue that affects banks and companies on a global scale. Possessing the ability to … accurately predict the level of credit risk has the potential to help the lender and borrower. This is achieved by alleviating … trees, random forests, and stochastic gradient boosting to add to the current literature on credit-risk modelling. The …

Under the revised market risk framework of the Basel Committee on Banking Supervision, the model validation regime for … internal models now requires that models capture the tail risk in profit-and-loss (P&L) distributions at the trading desk level …-desk value-at-risk (VaR) backtest as a special case. The spectral tests make use of realised probability integral transform …

models are employed for numerically computing quantile-based risk measures in a collective decision-making context. …

One of the key components of financial risk management is risk measurement. This typically requires modeling …

In this paper, we employ 99% intraday value-at-risk (VaR) and intraday expected shortfall (ES) as risk metrics to …