This file is part of IDEAS , which uses RePEc data
[ Papers |
Articles |
Software |
Books |
Chapters |
Authors |
Institutions |
JEL Classification |
NEP reports |
Search |
New papers by email |
Author registration |
Rankings |
Volunteers |
FAQ |
Blog |
Help! ]
An Application of Extreme Value Theory for Measuring Financial Risk Author info | Abstract | Publisher info | Download info | Related research | Statistics Manfred Gilli ()
Evis këllezi ()
No abstract is available for
this item.
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Article provided by Springer in its journal Computational Economics .
Volume (Year): 27 (2006)
Issue (Month): 2 (May)
Pages: 207-228
Download reference. The following formats are available: HTML
(with abstract ),
plain text
(with abstract ),
BibTeX ,
RIS (EndNote, RefMan, ProCite),
ReDIF
Handle: RePEc:kap:compec:v:27:y:2006:i:2:p:207-228Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100248
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: extreme value theory ; generalized pareto distribution ; generalized extreme value distribution ; quantile estimation ; risk measures ; maximum likelihood estimation ; profile likelihood confidence intervals ; Other versions of this item:
References listed on IDEAS 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.: Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998.
"Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management ,"
New York University, Leonard N. Stern School Finance Department Working Paper Seires
98-081, New York University, Leonard N. Stern School of Business-.
Other versions: Peter F. Christoffersen & Francis X. Diebold, 2000.
"How Relevant is Volatility Forecasting for Financial Risk Management? ,"
The Review of Economics and Statistics ,
MIT Press, vol. 82(1), pages 12-22, February.
[Downloadable!] (restricted)
Other versions:
Peter F. Christoffersen & Francis X. Diebold, 1997.
"How Relevant is Volatility Forecasting for Financial Risk Management? ,"
Center for Financial Institutions Working Papers
97-45, Wharton School Center for Financial Institutions, University of Pennsylvania.
[Downloadable!] Peter F. Christoffersen & Francis X. Diebold, 1998.
"How Relevant is Volatility Forecasting for Financial Risk Management? ,"
New York University, Leonard N. Stern School Finance Department Working Paper Seires
98-080, New York University, Leonard N. Stern School of Business-.
[Downloadable!] Peter F. Christoffersen & Francis X. Diebold, 1998.
"How Relevant is Volatility Forecasting for Financial Risk Management? ,"
NBER Working Papers
6844, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Michel M. Dacorogna, & Ulrich A. Muller & Olivier V. Pictet & Casper De Vries,, .
"The Distribution of Extremal Foreign Exchange Rate Returns in Extremely Large Data Sets ,"
Working Papers
1992-10-22, Olsen and Associates.
[Downloadable!]
ROCKINGER, Michael & JONDEAU, Eric, 1999.
"The Tail Behavior of Stock Returns: Emerging versus Mature Markets ,"
Les Cahiers de Recherche
668, HEC Paris.
[Downloadable!]
Jón Daníelsson & Casper G. de Vries, 1998.
"Value-at-Risk and Extreme Returns ,"
Tinbergen Institute Discussion Papers
98-017/2, Tinbergen Institute.
[Downloadable!]
Other versions: McNeil, Alexander J. & Frey, Rudiger, 2000.
"Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach ,"
Journal of Empirical Finance ,
Elsevier, vol. 7(3-4), pages 271-300, November.
[Downloadable!] (restricted)
Jon Danielsson & Casper G. de Vries, 1998.
"Beyond the Sample: Extreme Quantile and Probability Estimation ,"
FMG Discussion Papers
dp298, Financial Markets Group.
[Downloadable!] (restricted)
Other versions:
Full
references Cited by : (explanations , 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.)
Davide Ferrari & Sandra Paterlini, 2007.
"The Maximum Lq-Likelihood Method: an Application to Extreme Quantile Estimation in Finance ,"
Center for Economic Research (RECent)
001, University of Modena and Reggio E., Dept. of Economics.
[Downloadable!]
Other versions: Gonzales-Martínez, Rolando, 2008.
"Medidas de Riesgo Financiero y una Aplicación a las Variaciones de Depósitos del Sistema Financiero Boliviano [Risk Measures and an Application to the Withdrawals of Deposits in the Bolivian Fina ,"
MPRA Paper
14700, University Library of Munich, Germany.
[Downloadable!]
Jacob Gyntelberg & Eli M Remolona, 2007.
"Risk in carry trades: a look at target currencies in Asia and the Pacific ,"
BIS Quarterly Review ,
Bank for International Settlements, December.
[Downloadable!]
Access and
download statistics Did you know? IDEAS also computes impact factors for journals and working paper series.
This page was last updated on 2009-12-10.
This information is provided to you by IDEAS at the Department of Economics , College of Liberal Arts and Sciences , University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics .