Current directives issued by the Basel Committee have established value-at-risk (VaR) as the standard measure to quantify market risk. In view of the wide range of applications and regulatory requirements, the development of accurate techniques becomes a topic of prime importance. VaR should...

This research is aimed at a formal appraisal of recent advancements in stochastic volatility modeling and extreme-value theory to application of value-at-risk computation in particularly volatile markets. Established methods such as historical simulation are prone to underestimating...

The broad spectrum and the increased complexity of financial products that compose modern portfolios have forced credit and financial institutions to focus on innovative and more effective ways of estimating market risks. These new approaches, very often, prove to be more conservative compared...

The present study adds evidence, from three former emerging and currently transition countries along with two EU member countries of South and Eastern Europe, relevant to the market risk their stock exchanges possess under the same global financial environment. In order to assess market risk, we...

This paper applies extreme value theory (EVT) to estimate the tails of return series of Chinese yuan (CNY) exchange rates. We find that the degree of fitting Pareto distribution to the data of the tail of return series is extremely high. The empirical results indicate that expected shortfall...

Accurate prediction of the frequency of extreme events is of primary importance in many financial applications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaR evaluation. The largest risks are modelled parametrically, while smaller risks are captured by the non-...

Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...

Risk management has undergone a remarkable transformation over the past fifteen years, with most new methods having been designed for the concerns of large institutions operating in well-developed financial markets. This paper addresses a problem faced by smaller institutions operating in...

This paper highlights the importance of Value-at-Risk (VaR) methodology in managing oil market risks of three international crude oil rates (Brent, OPEP and WTI). Comparing between the conventional VaR models proposed by the literature (non-parametric models, hybrid models and conditional and...

Extreme value theory is concerned with the study of the asymptotical distribution of extreme events, that is to say events which are rare in frequency and huge with respect to the majority of observations. Statistical methods derived from this theory have been increasingly employed in finance,...