Niguez, Trino-Manuel and Perote, Javier (2004) Forecasting the density of asset returns. EM (479). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.
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Abstract
In this paper we introduce a transformation of the Edgeworth-Sargan series expansion of the Gaussian distribution, that we call Positive Edgeworth-Sargan (PES). The main advantage of this new density is that it is well defined for all values in the parameter space, as well as it integrates up to one. We include an illustrative empirical application to compare its performance with other distributions, including the Gaussian and the Student’s t, to forecast the full density of daily exchange-rate returns by using graphical procedures. Our results show that the proposed function outperforms the other two models for density forecasting, then providing more reliable value-at-risk forecasts.
| Item Type: | Monograph (Discussion Paper) |
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| Official URL: | http://sticerd.lse.ac.uk |
| Additional Information: | © 2004 Trino-Manuel niguez and Javier Perote |
| Divisions: | STICERD |
| Subjects: | H Social Sciences > HG Finance |
| JEL classification: | G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Other Model Applications C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C16 - Specific Distributions |
| Date Deposited: | 09 Jul 2008 14:31 |
| Last Modified: | 11 Dec 2024 18:40 |
| URI: | http://eprints.lse.ac.uk/id/eprint/6845 |
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