Accurate minimum capital risk requirements: A comparison of several approaches
AbstractIn this paper we estimate, for several investment horizons, minimum capital risk requirements for short and long positions, using the unconditional distribution of three daily indexes futures returns and a set of short and long memory stochastic volatility and GARCH-type models. We consider the possibility that errors follow a t-Student distribution in order to capture the kurtosis of the returns' series. The results suggest that accurate modelling of extreme observations obtained for long and short trading investment positions is possible with an autoregressive stochastic volatility model. Moreover, modelling futures returns with a long memory stochastic volatility model produces, in general, excessive volatility persistence, and consequently, leads to large minimum capital risk requirement estimates. Finally, the models' predictive ability is assessed with the help of out-of-sample conditional tests.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Banking & Finance.
Volume (Year): 32 (2008)
Issue (Month): 11 (November)
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Web page: http://www.elsevier.com/locate/jbf
Long memory Minimum capital risk requirement Moving block bootstrap Stochastic volatility Volatility persistence;
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