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Shluková analýza skoků na kapitálových trzích
[Cluster Analysis of Jumps on Capital Markets]

Listed author(s):
  • Jan Hanousek
  • Evžen Kočenda
  • Jan Novotný

Cluster Analysis of Jumps on Capital Markets We analyze the behavior and performance of multiple price jump indicators across capital markets and over time. By using high-frequency we perform cluster analysis of price jump indicators that share similar properties in terms of their performance in that they minimize Type I and Type II errors. We show that clusters of price jump indicators do not exhibit equal size. Clusters are stable across stock market indices and time. Detected numbers of price jumps are also stable over time. The recent financial crisis does not seem to affect the overall jumpiness of mature or emerging stock markets. Our results support the stress testing approach of the Basel III. Accords in that the jump component of the volatility process does not need to be treated separately for the purpose of stress testing.

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Article provided by University of Economics, Prague in its journal Politická ekonomie.

Volume (Year): 2016 (2016)
Issue (Month): 2 ()
Pages: 127-144

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Handle: RePEc:prg:jnlpol:v:2016:y:2016:i:2:id:1059:p:127-144
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  1. Ana-Maria Dumitru & Giovanni Urga, 2011. "Identifying Jumps in Financial Assets: A Comparison Between Nonparametric Jump Tests," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 242-255, October.
  2. Ladislav Krištoufek & Miloslav Vošvrda, 2012. "Efektivita kapitálových trhů: fraktální dimenze, Hurstův exponent a entropie
    [Capital Markets Efficiency: Fractal Dimension, Hurst Exponent and Entropy]
    ," Politická ekonomie, University of Economics, Prague, vol. 2012(2), pages 208-221.
  3. S. James Press, 1967. "A Compound Events Model for Security Prices," The Journal of Business, University of Chicago Press, vol. 40, pages 317-317.
  4. Ole E. Barndorff-Nielsen & Neil Shephard, 2006. "Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(1), pages 1-30.
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  6. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
  7. Torben G. Andersen & Luca Benzoni & Jesper Lund, 2002. "An Empirical Investigation of Continuous-Time Equity Return Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1239-1284, 06.
  8. Hanousek Jan & Kočenda Evžen & Novotný Jan, 2012. "The identification of price jumps," Monte Carlo Methods and Applications, De Gruyter, vol. 18(1), pages 53-77, January.
  9. Jiang, George J. & Oomen, Roel C.A., 2008. "Testing for jumps when asset prices are observed with noise-a "swap variance" approach," Journal of Econometrics, Elsevier, vol. 144(2), pages 352-370, June.
  10. Jan Hanousek & Evžen Kočenda, 2011. "Foreign News and Spillovers in Emerging European Stock Markets," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 170-188, 02.
  11. Jiří Witzany, 2013. "Estimating Correlated Jumps and Stochastic Volatilities," Prague Economic Papers, University of Economics, Prague, vol. 2013(2), pages 251-283.
  12. Chernov, Mikhail & Ronald Gallant, A. & Ghysels, Eric & Tauchen, George, 2003. "Alternative models for stock price dynamics," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 225-257.
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  18. repec:taf:jnlbes:v:30:y:2012:i:2:p:242-255 is not listed on IDEAS
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  20. Cecilia Mancini, 2009. "Non-parametric Threshold Estimation for Models with Stochastic Diffusion Coefficient and Jumps," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(2), pages 270-296.
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  23. Jonathan R. Stroud & Michael S. Johannes, 2014. "Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1368-1384, December.
  24. Jan Hanousek & Jan Novotný, 2014. "Cenové skoky během finanční nejistoty: od intuice k regulační perspektivě
    [Price Jumps during Financial Crisis: From Intuition to Financial Regulation]
    ," Politická ekonomie, University of Economics, Prague, vol. 2014(1), pages 32-48.
  25. Suzanne S. Lee & Per A. Mykland, 2008. "Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics," Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2535-2563, November.
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