This paper contains comments on Nonparametric Tail Risk, Stock Returns and the Macroeconomy …

The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil …, natural gas, gold and corn for the period 2007-2017. To this purpose, we use Extreme Value Theory (EVT) together with a set of … Conditional Auto-Regressive Logit (CARL) models to predict risk measures for the futures return series of the considered …

. Two approaches based on the extreme value theory were compared: Block Maxima and the Peaks Over Threshold. Forecasts were …

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and …-year-ahead. The latter has recently attracted considerable attention due to the different properties of short term risk and long run … risk. The key insight behind our importance sampling based approach is the sequential construction of marginal and …

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. …

assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence …, this paper attempts to analyse statistical properties of various risk measures in a not normal distribution and provide a … financial blueprint on how to manage risk. It is assumed that using old assumptions of normality alone in a distribution is not …