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Identification of speculative bubbles using state-space models with Markov-switching

Author

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  • Nael Al-Anaswah
  • Bernd Wilfling

Abstract

In this paper we use a state-space model with Markov-switching to detect speculative bubbles in stock-price data. Our two innovations are (1) to adapt this technology to the state-space representation of a well-known present-value stock-price model, and (2) to estimate the model via Kalman-filtering using a plethora of artificial as well as real-world data sets that are known to contain bubble periods. Analyzing the smoothed regime probabilities, we find that our technology is well suited to detecting stock-price bubbles in both types of data sets.

Suggested Citation

  • Nael Al-Anaswah & Bernd Wilfling, 2009. "Identification of speculative bubbles using state-space models with Markov-switching," CQE Working Papers 0309, Center for Quantitative Economics (CQE), University of Muenster.
    • Handle: RePEc:cqe:wpaper:0309
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    References listed on IDEAS

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    More about this item

    Keywords

    Stock market dynamics; Detection of speculative bubbles; Present value models; State-space models with Markov-switching;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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