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Information entropy and measures of market risk

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Pele, D. T., Lazar, E. and Dufour, A. (2017) Information entropy and measures of market risk. Entropy, 19 (5). 226. ISSN 1099-4300

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To link to this item DOI: 10.3390/e19050226

Abstract/Summary

In this paper we investigate the relationship between the information entropy of the distribution of intraday returns and intraday and daily measures of market risk. Using data on the EUR/JPY exchange rate, we find a negative relationship between entropy and intraday Value-at-Risk, and also between entropy and intraday Expected Shortfall. This relationship is then used to forecast daily Value-at-Risk, using the entropy of the distribution of intraday returns as a predictor.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > ICMA Centre
ID Code:70371
Publisher:MDPI Publishing

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