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Price Jump Indicators: Stock Market Empirics During the Crisis

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Listed:
  • Jan Novotn??

    ()

  • Jan Hanousek

    ()

  • Ev??en Ko??enda

    ()

Abstract

We analyze the behavior and performance of multiple price jump indicators across markets and over time. By using high-frequency stock market data we identify clusters 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 formed over the observations do not exhibit equal size. Clusters are stable across stock market indices and accuracy across price jump indicators are both stable over time. There was no significant change in the composition of clusters associated with market activity and the detected numbers of price jumps are 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.

Suggested Citation

  • Jan Novotn?? & Jan Hanousek & Ev??en Ko??enda, 2013. "Price Jump Indicators: Stock Market Empirics During the Crisis," William Davidson Institute Working Papers Series wp1050, William Davidson Institute at the University of Michigan.
  • Handle: RePEc:wdi:papers:2013-1050
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    File URL: http://deepblue.lib.umich.edu/bitstream/2027.42/133069/1/wp1050.pdf
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    References listed on IDEAS

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    Cited by:

    1. Jan Hanousek & Evzen Kocenda & Jan Novotny, 2014. "Price jumps on European stock markets," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(1), pages 10-22, March.

    More about this item

    Keywords

    stock markets; price jump indicators; non-parametric testing; clustering analysis; financial econometrics; Basel Accords;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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