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Completion time structures of stock price movements

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  • Asger Lunde
  • Allan Timmermann

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Suggested Citation

  • Asger Lunde & Allan Timmermann, 2005. "Completion time structures of stock price movements," Annals of Finance, Springer, vol. 1(3), pages 293-326, August.
    • Handle: RePEc:kap:annfin:v:1:y:2005:i:3:p:293-326
    DOI: 10.1007/s10436-005-0012-0
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    References listed on IDEAS

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    17. Peter F. Christoffersen & Francis X. Diebold, 2006. "Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics," Management Science, INFORMS, vol. 52(8), pages 1273-1287, August.
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    20. Allan Timmermann, 1996. "Excess Volatility and Predictability of Stock Prices in Autoregressive Dividend Models with Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(4), pages 523-557.
    21. Neil Shephard & Tina Hviid Rydberg, 1999. "Modelling trade-by-trade price movements of multiple assets using multivariate compount Poisson processes," Economics Series Working Papers 1999-W23, University of Oxford, Department of Economics.
    22. Massimo Guidolin, University of Virginia & Allan Timmermann, 2004. "Strategic Asset Allocation and Consumption Decisions under Multivariate Regime Switching," Econometric Society 2004 Australasian Meetings 349, Econometric Society.
    23. Jérôme B. Detemple & Ren Garcia & Marcel Rindisbacher, 2003. "A Monte Carlo Method for Optimal Portfolios," Journal of Finance, American Finance Association, vol. 58(1), pages 401-446, February.
    24. Ferson, Wayne E & Harvey, Campbell R, 1991. "The Variation of Economic Risk Premiums," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 385-415, April.
    25. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    26. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    27. McQueen, Grant & Thorley, Steven, 1994. "Bubbles, Stock Returns, and Duration Dependence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(3), pages 379-401, September.
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    30. Clive Bowsher, 2002. "Modelling Security Market Events in Continuous Time: Intensity based, Multivariate Point Process Models," Economics Series Working Papers 2002-W22, University of Oxford, Department of Economics.
    31. Thierry Kamionka, 2000. "La Modélisation des Données Haute Fréquence," Working Papers 2000-58, Center for Research in Economics and Statistics.
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    Citations

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    Cited by:

    1. Bastianin, Andrea & Conti, Francesca & Manera, Matteo, 2016. "The impacts of oil price shocks on stock market volatility: Evidence from the G7 countries," Energy Policy, Elsevier, vol. 98(C), pages 160-169.
    2. Bastianin, Andrea & Manera, Matteo, 2018. "How Does Stock Market Volatility React To Oil Price Shocks?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 666-682, April.
    3. Nolte, Ingmar & Voev, Valeri, 2007. "Panel intensity models with latent factors: An application to the trading dynamics on the foreign exchange market," CoFE Discussion Papers 07/02, University of Konstanz, Center of Finance and Econometrics (CoFE).
    4. Hayette Gatfaoui, 2010. "Investigating the dependence structure between credit default swap spreads and the U.S. financial market," Annals of Finance, Springer, vol. 6(4), pages 511-535, October.
    5. Pedro N. Rodríguez, & Simón Sosvilla-Rivero, 2006. "Forecasting Stock Price Changes: Is it Possible?," Working Papers 2006-22, FEDEA.

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    More about this item

    Keywords

    Completion time; Duration model; Stock price movements; Time-varying covariates; C41; G1;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • G1 - Financial Economics - - General Financial Markets

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