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Daníelsson, Jón; Vries, Casper G. de - 1997

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...

Persistent link: https://www.econbiz.de/10010533206

Information flows around the globe : predicting opening gaps from overnight foreign stock price patterns

Gooijer, Jan G. de; Diks, Cees G. H.; Gatarek, Lukasz T. - 2009

This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...

Persistent link: https://www.econbiz.de/10011379456

Decomposing portfolio value-at-risk : a general analysis

Hallerbach, Winfried G. - 1999 - This rev.: May 10, 1999

orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … proposed estimation approach pairs intuitiveappeal with computational efficiency. We evaluate various alternative estimation …

Persistent link: https://www.econbiz.de/10011301159

Relating stochastic volatility estimation methods

Bos, Charles S. - 2011

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …

Persistent link: https://www.econbiz.de/10011386124