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Testing for Bubbles in Stock Markets with Irregular Dividend Distribution

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  • Caspi, Itamar
  • Graham, Meital

Abstract

Recursive right-tailed unit root tests have recently become a popular tool to test the existence of stock price bubbles. These tests require continuous data on dividend distribution that is not always available, in particular when it comes to sectoral indexes or individual stocks. In this paper we show that it is possible to circumvent this problem by applying the test to an equity bubble using the book-to-market ratio. We illustrate our framework by testing for a bubble in the Israeli stock market, where data on continuous dividend distribution are uncommon.

Suggested Citation

  • Caspi, Itamar & Graham, Meital, 2017. "Testing for Bubbles in Stock Markets with Irregular Dividend Distribution," MPRA Paper 82261, University Library of Munich, Germany, revised 29 Oct 2017.
  • Handle: RePEc:pra:mprapa:82261
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    References listed on IDEAS

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    1. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2015. "Leveraged bubbles," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 1-20.
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    3. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    4. Peter C. B. Phillips & Yangru Wu & Jun Yu, 2011. "EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 201-226, February.
    5. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    6. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    7. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
    8. Itamar Caspi, 2015. "Testing for a Housing Bubble at the National and Regional Level: The Case of Israel," Bank of Israel Working Papers 2015.05, Bank of Israel.
    9. Phillips, Peter C.B. & Magdalinos, Tassos, 2007. "Limit theory for moderate deviations from a unit root," Journal of Econometrics, Elsevier, vol. 136(1), pages 115-130, January.
    10. Caspi, Itamar, 2013. "Rtadf: Testing for Bubbles with EViews," MPRA Paper 58791, University Library of Munich, Germany, revised 06 Sep 2014.
    11. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "Bubbles, Credit, and Their Consequences," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    12. Tsangyao Chang & Luis Gil-Alana & Goodness C. Aye & Rangan Gupta & Omid Ranjbar, 2016. "Testing for bubbles in the BRICS stock markets," Journal of Economic Studies, Emerald Group Publishing, vol. 43(4), pages 646-660, September.
    13. Itamar Caspi, 2016. "Testing for a housing bubble at the national and regional level: the case of Israel," Empirical Economics, Springer, vol. 51(2), pages 483-516, September.
    14. Alexakis, Christos & Bagnarosa, Guillaume & Dowling, Michael, 2017. "Do cointegrated commodities bubble together? the case of hog, corn, and soybean," Finance Research Letters, Elsevier, vol. 23(C), pages 96-102.
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    Cited by:

    1. Yao, Can-Zhong & Li, Hong-Yu, 2021. "A study on the bursting point of Bitcoin based on the BSADF and LPPLS methods," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).

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    More about this item

    Keywords

    Bubbles; stock markets; book-to-market; explosive root; GSADF test; Israel;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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