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The relationship between WIG-subindexes: evidence from the Warsaw Stock Exchange

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EN
Abstrakty
EN
Evidence on links among the major Warsaw Stock Exchange subindexes using daily data from the period of 2011.03 01 to 2014.07.21 is provided in the paper. The empirical study for eleven WIG-sectoral subindexes with 844 observations was conducted by means of Regular Vine Copulas. The application of these copulas allowed us to identify the pairwise structure of the dependence of subindexes under study. The results confirm the leading role of the banking sector in the Polish economy. The dependence structure of the WIG-banking subindex and other subindexes is, in general, asymmetrical. The links between returns of the subindexes are more pronounced in the left tails; i.e., in the bear phase of financial markets. This study suggests the usefulness of Regular Vine Copulas in analyzing dependence structures of a number of financial time series.
Słowa kluczowe
Wydawca
Rocznik
Strony
149--164
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • AGH University of Science and Technology, Department of Applications of Mathematics in Economics
autor
  • Jagiellonian University in Cracow, Institute of Economics and Management
Bibliografia
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  • [2] Allen, D.E., Ashra, M.A., McAleer, M., Powell, R.J. and Singh, A.K. (2013) 'Financial Dependence Analysis: Applications of Vine Copulas', Statistica Neerlandica, vol. 67 (4), pp. 403-435.
  • [3] Arbelaez, H., Urrutia, J. and Abbas, N. (2001) 'Short-term and long-term linkages among the Colombian capital market indexes', International Review of Financial Analysis, vol. 10 (3), pp. 237-273.
  • [4] Bedford, T. and Cooke, R.M. (2001) 'Probability density decomposition for conditionally dependent random variables modeled by vines', Annals of Mathematics and Artificial intelligence, vol. 32, pp. 245-268.
  • [5] Bedford, T. and Cooke, R.M. (2002) 'Vines - a new graphical model for dependent random variables', Annals of Statistics, vol. 30, pp. 1031-1068.
  • [6] Berg, D. and Aas, K. (2009) 'Models for construction of higher-dimensional dependence: A comparison study', European Journal of Finance, vol. 15, pp.639-659.
  • [7] Chollete, L., Heinen, A. and Valdesogo, A. (2009) 'Modeling international financial returns with a multivariate regime switching copula', Journal of Financial Econometrics, vol. 7, pp. 437-480.
  • [8] Brechmann, E. and Czado, C. (2014) 'Risk management with high-dimensional vine copulas: An analysis of the Euro Stoxx 50', Statistics & Risk Modeling, vol. 30 (4), pp. 307-342.
  • [9] Brechmann, E.C. and Czado, C. (2014) 'COPAR-Multivariate Time Series Modeling Using the Copula Autoregressive Model', Applied Stochastic Models in Business and Industry, DOI: 10.1002/asmb.2043.
  • [10] Chollete, L., Heinen, A. and Valdesogo, A. (2009) 'Modeling international financial returns with a multivariate regime-switchng copula', Journal of Financial Econometrics, vol. 7 (4), pp. 437-480.
  • [11] Dißmann, J.F., Brechmann, E.C., Czado, C. and Kurowicka, D. (2013) 'Selecting and estimating regular vine copulae and application to financial returns', Computational Statistics & Data Analysis, vol. 59 (1), pp. 52-69
  • [12] Higgins, B. (1988) 'Is a recession inevitable this year?', Economic Review, vol. 73 (1), Federal Reserve Bank of Kansas City, pp. 3-16.
  • [13] Joe, H. (1996) 'Families of m-variate distributions with given margins and m(m-1)/2 bivariate dependence parameters', in Rueschendorf, L., Schweizer B. and Taylor M.D. (ed.) Distributions with fixed marginals and related topics, Hayward: Institute of Mathematical Statistics, pp. 120-141.
  • [14] Joe, H. (1997) Multivariate Models and Dependence Concepts, London: Chapman and Hall.
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  • [16] Kurowicka, D. and Cooke, R.M. (2006) Uncertainty Analysis with High Dimensional Dependence Modelling, Chichester: John Wiley.
  • [17] Kurowicka, D. and Joe, H. (eds) (2011) Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific Publishing Co.
  • [18] Lagoarde-Segot, T. and Lucey, B. (2006) Efficiency in emerging markets- Evidence from the MENA region. International Financial Markets. Institutions and Money, vol. 18, pp. 94-105.
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  • [20] Nelsen, R. (2006) An introduction to copulas, New York: Springer.
  • [21] Niarchos N.A. and Alexakis C.A. (2003) 'Intraday stock price patterns in the Greek stock exchange', Applied Financial Economics, vol. 1, pp. 13-22.
  • [22] Patra, T. and Poshakwale, S.S. (2008) 'Long-run and short-run relationship between the main stock indexes: evidence from the Athens stock exchange', Applied Financial Economics, vol. 18, pp. 1401-1410.
  • [23] Panagiotidis, T. (2005) 'Market capitalisation and efficiency. Does it matter? Evidence from the Athens stock exchange', Applied Financial Economics, vol. 15, pp. 707-713.
  • [24] Patton, A.J. (2009) 'Copula-based models for financial time series', in Andersen, T.G., Davis, R.A., Kreiß, J.-P and Mikosch, T. (eds) Handbook of Financial Time Series, Part 5. Springer, pp. 767-785.
  • [25] Ratner, M. (1996) 'Investigating the behaviour and characteristics of the Madrid stock exchange', Journal of Banking and Finance, vol. 20, pp. 135-149.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34814dab-99b0-4c7a-b90c-9fc7290b05be
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