In this paper we propose a new tool for backtesting that examines the quality of Value-at- Risk (VaR) forecasts. To date, the most distinguished regression-based backtest, proposed by Engle and Manganelli (2004), relies on a linear model. However, in view of the di- chotomic character of the...

In this paper we deal with the problem of non-stationarity encountered in a lot of data sets, mainly in financial and economics domains, coming from the presence of multiple seasonnalities, jumps, volatility, distorsion, aggregation, etc. Existence of non-stationarity involves spurious behaviors...

Using non-parametric and parametric models, we show that the bivariate distribution of an Asian portfolio is not stable along all the period under study. We suggest several dynamic models to compute two market risk measures, the Value at Risk and the Expected Shortfall: the RiskMetrics...

Some company boards of directors and management teams are still reluctant to embrace enterprise risk management (ERM) because of the uncertainty regarding its value to the bottom line. A survey of audit and risk management executives suggests that the use of ERM leads to increased management...

Farm risk management for income stabilization is on-going issue. An applied work has been performed to measure farm risk using a stochastic model. Risk management tools, with symmetric as well as asymmetric impacts, are then tested and compared through ad hoc statistics. Normal farm business...

We present a new recursive algorithm to construct vine copulas based on an underlying tree structure. This new structure is interesting to compute multivariate distributions for dependent random variables. We proove the asymptotic normality of the vine copula parameter estimator and show that...

Si la littérature, reconnait la vulnérabilité des Supply Chains Internationales et les risques auxquels elles sont exposées, il est cependant étonnant, de constater le manque de cadres conceptuels et de résultats empiriques qui puissent fournir une compréhension claire du concept de...

Extreme value theory has been widely applied in insurance and finance to model rare events. Plenty of such events have occurred in financial markets during the last two decades, including stock market crashes, currency crises, or large bankruptcies. This article applies extreme value theory...

This work deals with strategies of risk management techniques in projects and portfolios in the situation of radical innovation. Existing literature suggests different methods of risk management at the level of 1) projects (S1) (unknown reduction by selecting a priori the less uncertain...