FIGARCH models are estimated with data sets of daily and 30 minute returns on the Deutsche mark-US dollar exchange rate. The results point to the importance of accurately modelling the persistence properties of volatility in terms of structural breaks and long memory, and controlling for stochastic intradaily repetitive patterns.

Morana, C., Beltratti, A. (2006). Estimating long memory in the mark-dollar exchange rate with high frequency data. APPLIED FINANCIAL ECONOMICS LETTERS, 2(6), 361-364 [10.1080/17446540600690110].

Estimating long memory in the mark-dollar exchange rate with high frequency data

MORANA, CLAUDIO;
2006

Abstract

FIGARCH models are estimated with data sets of daily and 30 minute returns on the Deutsche mark-US dollar exchange rate. The results point to the importance of accurately modelling the persistence properties of volatility in terms of structural breaks and long memory, and controlling for stochastic intradaily repetitive patterns.
Articolo in rivista - Articolo scientifico
FIGARCH, IGARCH, Volatility, high frequency data, long memory
English
2006
2
6
361
364
none
Morana, C., Beltratti, A. (2006). Estimating long memory in the mark-dollar exchange rate with high frequency data. APPLIED FINANCIAL ECONOMICS LETTERS, 2(6), 361-364 [10.1080/17446540600690110].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/26007
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