BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

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Autor
Echaust Krzysztof (Poznań University of Economics, Poland)
Tytuł
An application of extreme value copulas to measuring asymptotic dependence : the case of Polish Stock Exchange
Źródło
Scientific Publications / University of Economics in Katowice. Mathematical, econometrical and computer methods In finance and insurance 2010, 2012, s. 50-68, tab., wykr.
Słowa kluczowe
Giełda, Kryzys finansowy, Metody statystyczne
Stock exchange, Financial crisis, Statistical methods
Kraj/Region
Polska
Poland
Abstrakt
The aim of this study is to examine the asymptotic dependence in stock returns of ten companies included in WIG20. index during subprime mortgage crisis and after it. The traditional approach based on bivariate extreme value copula is used. Our findings confirm existence of the higher tail dependence in the crash period. Followed the interpretation of asymptotic dependence, it implies there is the higher probability that large negative returns occur concurrently. It explains why diversification strategies based on Markovitz Portfolio Theory using Pearson correlation coefficient are not able to prevent portfolio losses entirely. Only in the KGHM case the extreme dependence occurred less significant during crisis time. In the context of diversification it proves that in the high volatility market investors should turn into commodity markets which are less dependent on world financial markets.
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Bibliografia
Pokaż
  1. Christoffersen P.F., Diebold F.X., Schuermann T., Horizon problems and extreme events in financial risk management. Working Paper Series, Wharton Financial Institutions Centre, Philadelphia 1998
  2. Coles S.G., An introduction to statistical modeling of extreme values, Springer-Verl ag, London 2001
  3. Cotter J., Extreme value estimation of boom and crash statistics, " The European Journal of Finance" 2006, 12, No. 6-7, 553-566
  4. Deheuvels P., Caractérisation complète des lois extrêmes multivariées et de la convergence des types extrêmes, Publications de l'institut de Statistique de l'Université de Paris 1978, 23. 1-36
  5. Fisher R.A., Tippett L.H.C., On the estimation of the frequency distributions of the largest or smallest member of a sample, Proceedings of the Cambridge Philosophical Society 1928. 24. 180-190
  6. Genest C.. Favre A.C., Everything you always wanted to know about copula modeling but were afraid to ask, "Journal of Hydrological Engineering" 2007, No 12, 347-368
  7. Gumbel E.J., Distributions des valeurs extremes en plusieurs dimensions, Publ. Inst. Statist. Univ. Paris 1960,9, 171-173
  8. Heilpern S., Funkcje łączące. Wydawnictwo Akademii Ekonomicznej we Wrocławiu, Wrocław 2007
  9. Jenkinson A.F., The frequency distribution of the annual maximum (or minimum) values of meteorological elements, "Quarterly Journal of the Royal Meteorological Society" 1955. 81, 145-158
  10. Kojadinovic I.. Yan J" Nonparametric rank-based tests of bivariate extreme-value dependence, "Journal of Multivariate Analysis", 2010, 101, 2234-2249
  11. Longin F.M., From value at risk to stress testing: the extreme value approach, "Journal of Banking and Finance" 2000, 24, 1097-1130
  12. Malevergne Y., Sornette D., Extreme Financial Risk, Springer-Verlag, Berlin 2006
  13. McNeil A.J., On extremes and crashes, "Risk" 1998, 11
  14. Nelsen R.B., An Introduction to Copulas, Springer Verlag, New York 1999
Cytowane przez
Pokaż
Język
eng
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