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Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship

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Abstract

We examine the properties of several residual-based cointegration tests when long run parameters are subject to multiple shifts driven by an unobservable Markov process. Unlike earlier work, which considered one-off deterministic breaks, our approach has the advantage of allowing for an unspecified number of stochastic breaks. We illustrate this issue by exploring the possibility of Markov switching cointegration in the stock-price dividend relationship and showing that this case is empirically relevant. Our subsequent Monte Carlo analysis reveals that standard cointegration tests are generally reliable, their performance often being robust for a number of plausible regime shift parameterizations.

Suggested Citation

  • Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
  • Handle: RePEc:nip:nipewp:28/2010
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    Cited by:

    1. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2015. "Are there long-run diversification gains from the Dow Jones Islamic finance index?," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 945-950, August.
    2. Mangee, Nicholas, 2024. "Stock price swings and fundamentals: The role of Knightian uncertainty," International Review of Financial Analysis, Elsevier, vol. 91(C).
    3. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
    4. repec:ipg:wpaper:2014-566 is not listed on IDEAS
    5. Sambulo Malumisa, 2015. "Structural Breaks, Stability and Demand for Money in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 7(5), pages 79-90.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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