Politická ekonomie 2014, 62(1):32-48 | DOI: 10.18267/j.polek.936

Cenové skoky během finanční nejistoty: od intuice k regulační perspektivě

Jan Hanousek, Jan Novotný
1 CERGE-EI Praha, CEPR Londýn.
2 CERGE-EI Praha, Cass Business School, City University London.

Price Jumps during Financial Crisis: From Intuition to Financial Regulation

In this paper, we employ the high-frequency data from Prague Stock Exchange (PSE) and New York Stock Exchange (NYSE) to analyse the variation in extreme price movements and market volatility around the period of fall of Lehman Brothers. The sample ranges from January 2008 to July 2009. We employ the price jump indicators optimal with respect to Type-I and Type-II errors. The former one shows an increase in market volatility and extreme price movements during financial distress, while the later one distinguishes extreme price movements and shows that they do not react in the long-run to fi nancial distress at PSE, while for the matured US market suggests a company/sector-specific reaction. We analyse behaviour of extreme price movements with respect to CDS. Our results suggest that both markets are different - extreme price movements at PSE are independent of CDS movements, while those at NYSE show a sector/company specific reactions to CDS.

Keywords: financial crisis, Basel III, European emerging stock markets, Lehman Brothers, price jumps, CDS
JEL classification: G01, G15, G18, P59

Published: February 1, 2014  Show citation

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Hanousek, J., & Novotný, J. (2014). Price Jumps during Financial Crisis: From Intuition to Financial Regulation. Politická ekonomie62(1), 32-48. doi: 10.18267/j.polek.936
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References

  1. AÏT-SAHALIA, Y.; CACHO-DIAZ, J.; LAEVEN, R. J. 2010. Modeling Financial Contagion Using Mutually Exciting Jump Processes [Technical Report]. National Bureau of Economic Research, 2010. Go to original source...
  2. AÏT-SAHALIA, Y.; JACOD, J. 2009. Testing for Jumps in a Discretely Observed Process. The Annals of Statistics. 2009, Vol. 37, pp. 184-222. Go to original source...
  3. AÏT-SAHALIA, Y.; JACOD, J. 2011. Testing Whether Jumps Have Finite or Infinite Activity. The Annals of Statistics. 2011, Vol. 39, pp. 1689-1719. Go to original source...
  4. ANDERSEN, T.; DOBREV, D.; SCHAUMBURG, E. 2012. Jump-robust Volatility Estimation Using Nearest Neighbor Truncation. Journal of Econometrics. 2012, Vol. 169, pp. 75-93. Go to original source...
  5. ANDERSON, T.; BOLLERSLEV, T.; DIEBOLD, F.; VEGA, C. 2007. Real-time Price Discovery in Global Stock, Bond and Foreign Exchange Markets. Journal of International Economics. 2007, Vol. 73, pp. 251-277. Go to original source...
  6. AVRAMOV, D.; CHORDIA, T.; JOSTOVA, G.; PHILIPOV, A. 2012. The World Price of Credit Risk. Review of Asset Pricing Studies. 2012, Vol. 2, pp. 112-152. Go to original source...
  7. BARNDORFF-NIELSEN, O. E.; SHEPHARD, N. 2004. Power and Bipower Variation with Stochastic Volatility and Jumps. Journal of financial econometrics. 2004, Vol. 2, pp. 1-37. Go to original source...
  8. BARNDORFF-NIELSEN, O. E.; SHEPHARD, N. 2006. Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation. Journal of Financial Econometrics. 2006, Vol. 4, pp. 1-30. Go to original source...
  9. BATES, D. 1996. Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutsche Mark Options. Review of financial studies. 1996, Vol. 9, pp. 69-107. Go to original source...
  10. BECKETTI, S.; ROBERTS, D. 1990. Will Increased Regulation of Stock Index Futures Reduce Stock Market Volatility. Economic Review. 1990, Vol. 75, pp. 33-46.
  11. BOUCHAUD, J. P.; KOCKELKOREN, J.; POTTERS, M. 2006. Random Walks, Liquidity Molasses and Critical Response in Financial Markets. Quantitative finance. 2006, Vol. 6, pp. 115-123. Go to original source...
  12. BOUDT, K.; CROUX, C.; LAURENT, S. 2011. Robust Eestimation of Intraweek Periodicity in Volatility and Jump Detection. Journal of Empirical Finance. 2011, Vol. 18, pp. 353-367. Go to original source...
  13. COOPER, I., PRIESTLEY, R., 2013. The World Business Cycle and Expected Returns. Review of Finance. 2013, Vol. 0, pp. 1-36. Go to original source...
  14. CORSI, F.; PIRINO, D.; RENÒ, R. 2010. Threshold Bipower Variation and the Impact of Jumps on Volatility Forecasting. Journal of Econometrics. 2010, Vol. 159, pp. 276-288. Go to original source...
  15. DUMITRU, A. M.; URGA, G. 2012. Identifying Jumps in Financial Assets: A Comparison between Nonparametric Jump Tests. Journal of Business & Economic Statistics. 2012, Vol. 30, pp. 242-255. Go to original source...
  16. DUNGEY, M.; FRY, R.; GONZÁLEZ-HERMOSILLO, B.; MARTIN, V. L. 2005. Empirical Modeling of Contagion: A Review of Methodologies. Quantitative Finance. 2005, Vol. 5, pp. 9-24. Go to original source...
  17. FAMA, E. 1970. Efficient Capital Markets: A Review of Theory and Empirical Work. The journal of Finance. 1970, Vol. 25, pp. 383-417. Go to original source...
  18. GIOT, P.; LAURENT, S.; PETITJEAN, M. 2010. Trading Activity, Realized Volatility and Jumps. Journal of Empirical Finance. 2010, Vol. 17, pp. 168-175. Go to original source...
  19. HANOUSEK, J.; KOCENDA, E. 2011. Foreign News and Spillovers in Emerging European Stock Markets. Review of International Economics. 2011, Vol. 19, pp. 170-188. Go to original source...
  20. HANOUSEK, J.; KOCENDA, E.; KUTAN, A. M. 2009. The Reaction of Asset Prices to Macroeconomic Announcements in New EU Markets: Evidence from Intraday Data. Journal of Financial Stability. 2009, Vol. 5, pp. 199-219. Go to original source...
  21. HANOUSEK, J.; KOCENDA, E.; NOVOTNÝ, J., 2012 The Identification of Price Jumps. Monte Carlo Methods and Applications. 2012, Vol. 18, pp. 53-77. Go to original source...
  22. HANOUSEK, J.; KOPRIVA, F. 2013. Do Broker/Analyst Conflicts Matter? Detecting Evidence from Internet Trading Platforms. International Review of Financial Analysis. Forthcoming.
  23. HESTON, S. 1993. A Closed-form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options. Review of financial studies. 1993, Vol. 6, No. 2, pp. 327-343. Go to original source...
  24. HUANG, X.; TAUCHEN, G. 2005. The Relative Contribution of Jumps to Total Price Variance. Journal of financial econometrics. 2005, Vol. 3, pp. 456-499. Go to original source...
  25. JACOD, J.; SHIRYAEV, A. N. 1987. Limit Theorems for Stochastic Processes. Vol 288. Berlin: Springer-Verlag, 1987. Go to original source...
  26. JARQUE, C.; BERA, A. 1980. Efficient Tests for Normality, Homoscedasticity and Serial Independence of Regression Residuals. Economics Letters. 1980, Vol. 6, pp. 255-259. Go to original source...
  27. JIANG, G.; OOMEN, R. 2008. Testing for Jumps when Asset Prices are Observed with Noise: A Swap Variance Approach. Journal of Econometrics. 2008, Vol. 144, pp. 352-370. Go to original source...
  28. JOULIN, A.; LEFEVRE, A.; GRUNBERG, D.; BOUCHAUD, J. 2008. Stock Price Jumps: News and Volume Play a Minor Role. Wilmott Magazine. 2008, pp. 1-7.
  29. KENNEDY, D.; SIVAKUMAR, R.; VETZAL, K. 2006. The Implications of IPO Underpricing for the Firm and Insiders: Tests of Asymmetric Information Theories. Journal of Empirical Finance. 2006, Vol. 13, pp. 49-78. Go to original source...
  30. LAHAYE, J.; LAURENT, S.; NEELY, C. 2011. Jumps, Cojumps and Macro Announcements. Journal of Applied Econometrics. 2011, Vol. 26, pp. 893-921. Go to original source...
  31. LEE, S.; HANNIG, J. 2010. Detecting Jumps from Lévy Jump Diffusion Processes. Journal of Financial Economics. 2010, Vol. 96, pp. 271-290. Go to original source...
  32. LEE, S.; MYKLAND, P. 2008. Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics. Review of Financial studies. 2008, Vol. 21, pp. 2535-2563. Go to original source...
  33. MADHAVAN, A. 2000. Market Microstructure: A Survey. Journal of Financial Markets. 2000, Vol. 3, pp. 205-258. Go to original source...
  34. MANCINI, C. 2009. Non-parametric Threshold Estimation for Models with Stochastic Diffusion Coefficient and Jumps. Scandinavian Journal of Statistics. 2009, Vol. 36, pp. 270-296. Go to original source...
  35. MANN, H. B.; WHITNEY, D. R. 1947. On a Test of Whether One of Two Random Variables is Stochastically Larger than the Other. The annals of mathematical statistics. 1947, Vol. 18, pp. 50-60. Go to original source...
  36. MCDONALD, L. G.; ROBINSON, P. 2009. A Colossal Failure of Common Sense: The Inside Story of the Collapse of Lehman Brothers. Crown Business, 2009.
  37. MERTON, R. 1976. Option Pricing when Underlying Stock Returns are Discontinuous. Journal of financial economics. 1976, Vol. 3, pp. 125-144. Go to original source...
  38. SCHWERT, G. 2011. Stock Volatility During the Recent Financial Crisis. European Financial Management. 2011, Vol. 17, pp. 789-805. Go to original source...
  39. SCOTT, L. 1997. Pricing Stock Options in a Jump-diffusion Model with Stochastic Volatility and Interest Rates: Applications of Fourier Inversion Methods. Mathematical Finance. 1997, Vol. 7, pp. 413-426. Go to original source...
  40. TINIÇ, S. 1995. Derivatives and Stock Market Volatility: Is Additional Government Regulation Necessary? Journal of Financial Services Research. 1995, Vol. 9, pp. 351-362. Go to original source...
  41. WILCOXON, F. 1945. Individual Comparisons by Ranking Methods. Biometrics Bulletin. 1945, Vol. 1, pp. 80-83. Go to original source...

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