We propose new scoring rules based on conditional and censored likelihood for assessing the predictive accuracy of competing density forecasts over a specific region of interest, such as the left tail in financial risk management. These scoring rules can be interpreted in terms of...

The ultimate goal of risk management is the generation of efficient incomes. The objective is to generate the maximum return for a unit of risk taken or to minimise the risk taken to generate the return expected i.e. it is the optimisation of a financial institution strategy. Therefore, by...

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...

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...

We propose new scoring rules based on conditional and censored likelihood for assessing the predictive accuracy of competing density forecasts over a specific region of interest, such as the left tail in financial risk management. These scoring rules can be interpreted in terms of...

The proposed paper deals with platform emergence in double unknown situations when technology and markets are highly uncertain. The interest in technological platform development to enable creation of products and processes that support present and future development of multiple options is...