Steps in Applying Extreme Value Theory to Finance: A Review
AbstractNo abstract is available for this item.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Bank of Canada in its series Working Papers with number 00-20.
Length: 31 pages Abstract: Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios. Contrary to value-at-risk approaches, EVT is used to model the behaviour of maxima or minima in a series (the tail of the distribution). However, implementation of EVT faces many challenges, including the scarcity of extreme data, determining whether the series is “fat-tailed,” choosing the threshold or beginning of the tail, and choosing the methods of estimating the parameters. This paper focuses on the univariate case; the approach is not easily extended to the multivariate case, because there is no concept of order in a multidimensional space and it is difficult to define the extremes in the multivariate case. Following a review of the theoretical literature, univariate EVT techniques are applied to a series of daily exchange rates of Canadian/U.S. dollars over a 5-year period (1995–2000).
Date of creation: 2000
Date of revision:
Contact details of provider:
Postal: 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada
Phone: 613 782-8845
Fax: 613 782-8874
Web page: http://www.bank-banque-canada.ca/
impact of crashes; implementation;
Find related papers by JEL classification:
- C0 - Mathematical and Quantitative Methods - - General
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- G1 - Financial Economics - - General Financial Markets
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Suarez, Ronny, 2009. "Improving Modeling of Extreme Events using Generalized Extreme Value Distribution or Generalized Pareto Distribution with Mixing Unconditional Disturbances," MPRA Paper 17482, University Library of Munich, Germany.
- Younes Bensalah, 2002. "Asset Allocation Using Extreme Value Theory," Working Papers 02-2, Bank of Canada.
- Suarez, R, 2001. "Improving Modeling of Extreme Events using Generalized Extreme Value Distribution or Generalized Pareto Distribution with Mixing Unconditional Disturbances," MPRA Paper 17443, University Library of Munich, Germany.
- Pamela Cardozo, . "Valor en Riesgo de los Activos Financieros Colombianos Aplicando la Teoría de Valor Extremo," Borradores de Economia 304, Banco de la Republica de Colombia.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.