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Speculative Bubbles in Segmented Markets

Author

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  • Efthymios Pavlidis
  • Konstantinos Vasilopoulos

Abstract

We propose a novel approach for testing for rational speculative bubbles in segmented capital markets. The basic idea is that, under capital controls, heterogeneity of speculative expectations across international equity markets causes financial assets with identical cash flow promises to trade at different prices. Because these deviations from the law of one price inherit the properties of the speculative bubble process, they display periods of explosive dynamics and have predictive power for future movements in equity prices in sample. These two hypotheses can be examined empirically using sequential unit root tests and predictive regressions. An attractive feature of this approach for bubble detection is that it does not require the specification of a model for market fundamentals, thus mitigating the well-known joint hypothesis problem. The focus of the paper is on mainland Chinese companies that cross list shares in Hong Kong. China is an ideal setting for our analysis because of the significant restrictions on capital movements imposed by the authorities and the turbulent behaviour of its stock market over the last decades.

Suggested Citation

  • Efthymios Pavlidis & Konstantinos Vasilopoulos, 2019. "Speculative Bubbles in Segmented Markets," Working Papers 268640661, Lancaster University Management School, Economics Department.
  • Handle: RePEc:lan:wpaper:268640661
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    File URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/LancasterWP2019_014.pdf
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    Cited by:

    1. Jing Zhang & Wei Zhang & Youwei Li & Xu Feng, 2022. "The role of hedge funds in the asset pricing: evidence from China," The European Journal of Finance, Taylor & Francis Journals, vol. 28(2), pages 219-243, January.

    More about this item

    Keywords

    speculative bubbles; law of one price; AH premium; recursive unit root tests; predictive regressions;
    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
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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