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Volumn 12, Issue 1, 2005, Pages 165-185

Measuring tail thickness under GARCH and an application to extreme exchange rate changes

Author keywords

Fat tails; Foreign exchange; GARCH; Hill estimator; Stationary marginal distribution; Tail index

Indexed keywords


EID: 12744280558     PISSN: 09275398     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jempfin.2003.11.002     Document Type: Article
Times cited : (40)

References (34)
  • 1
    • 34848900983 scopus 로고
    • ARCH modeling in finance: A review of the theory and empirical evidence
    • Bollerslev T. Chou R.Y. Kroner K.F. ARCH modeling in finance: a review of the theory and empirical evidence Journal of Econometrics 52 1992 5-59 of the theory and empirical evidence Journal of Econometrics 52 1992 5-59
    • (1992) Journal of Econometrics , vol.52 , pp. 5-59
    • Bollerslev, T.1    Chou, R.Y.2    Kroner, K.F.3
  • 3
    • 0000346734 scopus 로고
    • A subordinate stochastic process model with finite variance for speculative prices
    • Clark P.K. A subordinate stochastic process model with finite variance for speculative prices Econometrica 41 1973 135-155 for speculative prices Econometrica 41 1973 135-155
    • (1973) Econometrica , vol.41 , pp. 135-155
    • Clark, P.K.1
  • 6
    • 0031161693 scopus 로고    scopus 로고
    • Tail index and quantile estimation with very high frequency data
    • Danielsson J. deVries C.G. Tail index and quantile estimation with very high frequency data Journal of Empirical Finance 4 1997 241-257 very high frequency data Journal of Empirical Finance 4 1997 241-257
    • (1997) Journal of Empirical Finance , vol.4 , pp. 241-257
    • Danielsson, J.1    deVries, C.G.2
  • 7
    • 0000044433 scopus 로고    scopus 로고
    • Using a bootstrap method to choose the sample fraction in tail index estimation
    • Danielsson J. de Haan L. Peng L. de Vries C.G. Using a bootstrap method to choose the sample fraction in tail index estimation Journal of Multivariate Analysis 76 2001 226-248 method to choose the sample fraction in tail index estimation Journal of Multivariate Analysis 76 2001 226-248
    • (2001) Journal of Multivariate Analysis , vol.76 , pp. 226-248
    • Danielsson, J.1    de Haan, L.2    Peng, L.3    de Vries, C.G.4
  • 9
    • 3142670898 scopus 로고    scopus 로고
    • Pitfalls and opportunities in the use of extreme value theory in risk management
    • A.-P.N. Refenes, A.N. Burgess, J.E. Moody (Eds.), Dordrecht: Kluwer
    • Diebold F.X. Schuermann T. Stroughair J.D. Pitfalls and opportunities in the use of extreme value theory in risk management. In: Refenes A.-P.N. Burgess A.N. Moody J.E. (Eds.), Decision Technologies for Computational Finance 1998 3-12 Kluwer Dordrecht in the use of extreme value theory in risk management Refenes A.-P.N. Burgess A.N. Moody J.E. Decision Technologies for Computational Finance 1998 3-12 Kluwer Dordrecht
    • (1998) Decision Technologies for Computational Finance , pp. 3-12
    • Diebold, F.X.1    Schuermann, T.2    Stroughair, J.D.3
  • 10
    • 0032387074 scopus 로고    scopus 로고
    • Optimal rates of convergence for estimates of the extreme value Index
    • Drees H. Optimal rates of convergence for estimates of the extreme value Index Annals of Statistics 26 1998 434-448 value Index Annals of Statistics 26 1998 434-448
    • (1998) Annals of Statistics , vol.26 , pp. 434-448
    • Drees, H.1
  • 11
    • 0001061726 scopus 로고    scopus 로고
    • Selecting the optimal sample fraction in univariate extreme value estimation
    • Drees H. Kaufmann E. Selecting the optimal sample fraction in univariate extreme value estimation Stochastic Processes and their Application 75 1998 149-172 univariate extreme value estimation Stochastic Processes and their Application 75 1998 149-172
    • (1998) Stochastic Processes and Their Application , vol.75 , pp. 149-172
    • Drees, H.1    Kaufmann, E.2
  • 14
    • 0013127441 scopus 로고    scopus 로고
    • The bootstrap methodology in statistics of extremes - Choice of the optimal sample fraction
    • Gomes M.I. Oliveira O. The bootstrap methodology in statistics of extremes - choice of the optimal sample fraction Extremes 4 2001 331-358 extremes-choice of the optimal sample fraction Extremes 4 2001 331-358
    • (2001) Extremes , vol.4 , pp. 331-358
    • Gomes, M.I.1    Oliveira, O.2
  • 15
    • 0032330687 scopus 로고    scopus 로고
    • Comparison of tail index estimators
    • de Haan L. Peng L. Comparison of tail index estimators Statistica Neerlandica 52 1998 60-70 Neerlandica 52 1998 60-70
    • (1998) Statistica Neerlandica , vol.52 , pp. 60-70
    • de Haan, L.1    Peng, L.2
  • 16
    • 29444451851 scopus 로고
    • Extremal behavior of solutions to a stochastic difference equation with applications to ARCH Processes
    • de Haan L. Resnick S. Rootzén H. de Vries C.G. Extremal behavior of solutions to a stochastic difference equation with applications to ARCH Processes Stochastic Processes and their Application 32 1989 213-224 of solutions to a stochastic difference equation with applications to ARCH Processes Stochastic Processes and their Application 32 1989 213-224
    • (1989) Stochastic Processes and Their Application , vol.32 , pp. 213-224
    • de Haan, L.1    Resnick, S.2    Rootzén, H.3    de Vries, C.G.4
  • 17
    • 0000831975 scopus 로고
    • Using the bootstrap to estimate mean squared error and select smoothing parameters in nonparametric problems
    • Hall P. Using the bootstrap to estimate mean squared error and select smoothing parameters in nonparametric problems Journal of Multivariate Analysis 32 1990 177-203 smoothing parameters in nonparametric problems Journal of Multivariate Analysis 32 1990 177-203
    • (1990) Journal of Multivariate Analysis , vol.32 , pp. 177-203
    • Hall, P.1
  • 19
    • 0001263124 scopus 로고
    • A simple general approach to inference about the tail of a distribution
    • Hill B.M. A simple general approach to inference about the tail of a distribution Annals of Statistics 3 1975 1163-1174 distribution Annals of Statistics 3 1975 1163-1174
    • (1975) Annals of Statistics , vol.3 , pp. 1163-1174
    • Hill, B.M.1
  • 20
    • 0000234372 scopus 로고
    • On tail index estimation using dependent data
    • Hsing T. On tail index estimation using dependent data Annals of Statistics 19 1991 1547-1569 Statistics 19 1991 1547-1569
    • (1991) Annals of Statistics , vol.19 , pp. 1547-1569
    • Hsing, T.1
  • 21
    • 0001797921 scopus 로고    scopus 로고
    • Fat tails in financial risk management
    • Huisman R. Koedijk K.G. Pownall R. Fat tails in financial risk management Journal of Risk 1 1998 47-62 management Journal of Risk 1 1998 47-62
    • (1998) Journal of Risk , vol.1 , pp. 47-62
    • Huisman, R.1    Koedijk, K.G.2    Pownall, R.3
  • 23
    • 0005541272 scopus 로고    scopus 로고
    • The Tail Behavior of Stock Returns: Emerging versus Mature Markets
    • Working Paper, HEC-School of Management
    • Jondeau, E., Rockinger, M., 1999. The Tail Behavior of Stock Returns: Emerging versus Mature Markets. Working Paper, HEC-School of Management Emerging versus Mature Markets. Working Paper, HEC-School of Management.
    • (1999)
    • Jondeau, E.1    Rockinger, M.2
  • 24
    • 0000865794 scopus 로고    scopus 로고
    • Estimating the density tail index for financial time series
    • Kearns P. Pagan A. Estimating the density tail index for financial time series Review of Economics and Statistics 79 1997 171-175 time series Review of Economics and Statistics 79 1997 171-175
    • (1997) Review of Economics and Statistics , vol.79 , pp. 171-175
    • Kearns, P.1    Pagan, A.2
  • 26
    • 0142057929 scopus 로고    scopus 로고
    • Estimation of value at risk by extreme value methods
    • Lauridsen S. Estimation of value at risk by extreme value methods Extremes 3 2000 107-144 Extremes 3 2000 107-144
    • (2000) Extremes , vol.3 , pp. 107-144
    • Lauridsen, S.1
  • 27
    • 0000119560 scopus 로고
    • Testing the covariance structure of heavy-tailed time series
    • Loretan M. Phillips P.C.B. Testing the covariance structure of heavy-tailed time series Journal of Empirical Finance 1 1994 211-248 heavy-tailed time series Journal of Empirical Finance 1 1994 211-248
    • (1994) Journal of Empirical Finance , vol.1 , pp. 211-248
    • Loretan, M.1    Phillips, P.C.B.2
  • 28
    • 0005865585 scopus 로고    scopus 로고
    • Adaptive threshold selection in tail index estimation
    • P. Embrechts (Ed.), London: Risk Books
    • Matthys G. Beirlant J. Adaptive threshold selection in tail index estimation. In: Embrechts P. (Ed.), Extremes and Integrated Risk Management 2000 37-49 Risk Books London estimation Embrechts P. Extremes and Integrated Risk Management 2000 37-49 Risk Books London
    • (2000) Extremes and Integrated Risk Management , pp. 37-49
    • Matthys, G.1    Beirlant, J.2
  • 29
    • 0000361129 scopus 로고    scopus 로고
    • Estimation of tail-related measures for heteroscedastic financial time series: An extreme value approach
    • McNeil A.J. Frey R. Estimation of tail-related measures for heteroscedastic financial time series: An extreme value approach Journal of Empirical Finance 7 2000 271-300 heteroscedastic financial time series: An extreme value approach Journal of Empirical Finance 7 2000 271-300
    • (2000) Journal of Empirical Finance , vol.7 , pp. 271-300
    • McNeil, A.J.1    Frey, R.2
  • 30
    • 0034287159 scopus 로고    scopus 로고
    • Limit theory for the sample autocorrelations and extremes of a GARCH(1,1) process
    • Mikosch T. Stǎricǎ C. Limit theory for the sample autocorrelations and extremes of a GARCH(1,1) process Annals of Statistics 28 2000 1427-1451 extremes of a GARCH(1,1) process Annals of Statistics 28 2000 1427-1451
    • (2000) Annals of Statistics , vol.28 , pp. 1427-1451
    • Mikosch, T.1    Stǎricǎ, C.2
  • 32
    • 0038979538 scopus 로고    scopus 로고
    • Tail index estimation for dependent data
    • Resnick S. Stǎricǎ C. Tail index estimation for dependent data Annals of Applied Probability 8 1998 1156-1183 of Applied Probability 8 1998 1156-1183
    • (1998) Annals of Applied Probability , vol.8 , pp. 1156-1183
    • Resnick, S.1    Stǎricǎ, C.2


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