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Trading Intensity and Intraday Volatility on the Prague Stock Exchange: Evidence from an Autoregressive Conditional Duration Model (in English)

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Author Info
Filip Žikeš () (Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague)
Vít Bubák () (Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague)

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Abstract

Using trade and quote data from the Prague Stock Exchange, this study investigates the empirical behavior of price durations defined as the time needed for a quote midpoint to move by a given amount. Focusing on the three most liquid securities traded on the exchange – Cesky Telecom, CEZ, and Komercni banka – the authors estimate autoregressive conditional duration (ACD) models for price-duration series and test several market-microstructure hypotheses suggested by the information-based models of market microstructure. Similar to earlier studies, the authors find that price durations exhibit diurnal patterns, overdispersion, and substantial persistence, which can be adequately captured by the ACD model. The market-microstructure hypotheses, however, find little empirical support in the authors´ results.

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Publisher Info
Article provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.

Volume (Year): 56 (2006)
Issue (Month): 5-6 (May)
Pages: 223-245
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Handle: RePEc:fau:fauart:v:56:y:2006:i:5-6:p:223-245

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Related research
Keywords: autoregressive conditional duration; instantaneous volatility; market microstructure;

Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

References listed on IDEAS
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  1. McInish, Thomas H & Wood, Robert A, 1992. " An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-64, June. [Downloadable!] (restricted)
  2. Meitz, Mika & Teräsvirta, Timo, 2004. "Evaluating models of autoregressive conditional duration," Working Paper Series in Economics and Finance 557, Stockholm School of Economics, revised 13 Dec 2004. [Downloadable!]
    Other versions:
  3. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May. [Downloadable!] (restricted)
    Other versions:
  4. Stoll, Hans R, 1978. "The Supply of Dealer Services in Securities Markets," Journal of Finance, American Finance Association, vol. 33(4), pages 1133-51, September. [Downloadable!] (restricted)
    Other versions:
  5. GIOT, Pierre & ,, 1999. "Time transformations, intraday data and volatility models ," CORE Discussion Papers 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  6. Hanousek, Jan & Podpiera, Richard, 2004. "Czech experience with market maker trading system," Economic Systems, Elsevier, vol. 28(2), pages 177-191, June. [Downloadable!] (restricted)
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