An Application of Extreme Value Theory to U.S. Movie Box Office Returns
AbstractIn this paper we use extreme value theory to model the U.S. movie box-office returns, using weekly data for the period January 1982 to September 2006. The Peaks over Threshold method is used to fit the Generalized Pareto Distribution to the tails of the distributions of both positive weekly returns, and negative returns. Tail risk measures such as value-at-risk and expected shortfall are computed using likelihood and profile likelihood methods. These measures can be used as indicators for the film distributors in the preparation of movie prints, or as references for actual or potential investors in the movie industry.
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Bibliographic InfoPaper provided by Department of Economics, University of Victoria in its series Econometrics Working Papers with number 0705.
Length: 8 pages
Date of creation: 21 Jul 2007
Date of revision:
Note: ISSN 1485-6441
Contact details of provider:
Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2
Web page: http://web.uvic.ca/econ
More information through EDIRC
Movie revenue; extreme values; generalized Pareto distribution; value at risk;
Find related papers by JEL classification:
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
- G1 - Financial Economics - - General Financial Markets
- Z1 - Other Special Topics - - Cultural Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-07-20 (All new papers)
- NEP-BEC-2007-07-20 (Business Economics)
- NEP-CUL-2007-07-20 (Cultural Economics)
- NEP-RMG-2007-07-20 (Risk Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jon Danielsson & Casper G. de Vries, 1998. "Beyond the Sample: Extreme Quantile and Probability Estimation," FMG Discussion Papers dp298, Financial Markets Group.
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