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Forecast Evaluation of Explanatory Models of Financial Variability

35 Pages Posted: 18 Dec 2010  

Genaro Sucarrat

affiliation not provided to SSRN

Date Written: 2009

Abstract

A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial variability modelling this raises several methodological and practical issues, which suggests an alternative approach is needed. The contribution of this study is twofold. First, the finite sample properties of operational and practical procedures for the forecast evaluation of explanatory discrete time models of financial variability are studied. Second, based on the simulation results a simple but general framework is proposed and illustrated. The illustration provides an example of where an explanatory model outperforms realised volatility ex post. --

Keywords: Financial variability, financial volatility, forecasting, explanatory modelling, exchange rates

JEL Classification: C52, C53, F31, F37, F47

Suggested Citation

Sucarrat, Genaro, Forecast Evaluation of Explanatory Models of Financial Variability (2009). Economics: The Open-Access, Open-Assessment E-Journal, Vol. 3, 2009-8. Available at SSRN: https://ssrn.com/abstract=1726876 or http://dx.doi.org/10.5018/economics-ejournal.ja.2009-7

Genaro Sucarrat (Contact Author)

affiliation not provided to SSRN

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