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. Our results apply to stationary and ergodic time series. In a simulation study we show that our asymptotic theory provides …
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Regression analysis is a common tool in performance management and measurement in industry. Many firms wish to optimise their performance using Stochastic Programming but to the best of our knowledge there exists no scenario generation method for regression models. In this paper we propose a new...
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Value at Risk has become the standard measure of market risk employed by financial institutions for both internal and … methodologies developed so far give satisfactory solutions. Interpreting Value at Risk as a quantile of future portfolio values … assumptions invoked by existing methodologies (such as normality or i.i.d. returns). The Conditional Value at Risk or CAViaR model …
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In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the … direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets …
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