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Speculative bubbles and the cross-sectional variation in stock returns

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  • Anderson, Keith
  • Brooks, Chris

Abstract

Evidence suggests that rational, periodically collapsing speculative bubbles may be pervasive in stock markets globally, but there is no research that considers them at the individual stock level. In this study we develop and test an empirical asset pricing model that allows for speculative bubbles to affect stock returns. We show that stocks incorporating larger bubbles yield higher returns. The bubble deviation, at the stock level as opposed to the industry or market level, is a priced source of risk that is separate from the standard market risk, size and value factors. We demonstrate that much of the common variation in stock returns that can be attributable to market risk is due to the co-movement of bubbles rather than being driven by fundamentals.

Suggested Citation

  • Anderson, Keith & Brooks, Chris, 2014. "Speculative bubbles and the cross-sectional variation in stock returns," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 20-31.
    • Handle: RePEc:eee:finana:v:35:y:2014:i:c:p:20-31
    DOI: 10.1016/j.irfa.2014.07.004
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    1. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    2. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    3. Chris Brooks & Apostolos Katsaris, 2005. "Trading Rules from Forecasting the Collapse of Speculative Bubbles for the S&P 500 Composite Index," The Journal of Business, University of Chicago Press, vol. 78(5), pages 2003-2036, September.
    4. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    5. Chris Brooks & Apostolos Katsaris, 2003. "Rational Speculative Bubbles: An Empirical Investigation of the London Stock Exchange," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 319-346, October.
    6. Keating, Elizabeth K. & Lys, Thomas Z. & Magee, Robert P., 2003. "Internet downturn: finding valuation factors in Spring 2000," Journal of Accounting and Economics, Elsevier, vol. 34(1-3), pages 189-236, January.
    7. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    8. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    9. Pastor, Lubos & Veronesi, Pietro, 2006. "Was there a Nasdaq bubble in the late 1990s?," Journal of Financial Economics, Elsevier, vol. 81(1), pages 61-100, July.
    10. Froot, Kenneth A & Obstfeld, Maurice, 1991. "Intrinsic Bubbles: The Case of Stock Prices," American Economic Review, American Economic Association, vol. 81(5), pages 1189-1214, December.
    11. Jørgen Vitting Andersen, 2011. "Pricing Stocks with Yardsticks and Sentiments," Post-Print hal-01396611, HAL.
    12. G. J. Santoni, 1987. "The great bull markets 1924-29 and 1982-87: speculative bubbles or economic fundamentals?," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 16-30.
    13. Sebast{i}an Mart{i}nez Bustos & Jorgen Vitting Andersen & Michel Miniconi & Andrzej Nowak & Magdalena Roszczynska-Kurasinska & David Bree, 2011. "Pricing stocks with yardsticks and sentiments," Papers 1109.6909, arXiv.org.
    14. Diba, Behzad T & Grossman, Herschel I, 1988. "The Theory of Rational Bubbles in Stock Prices," Economic Journal, Royal Economic Society, vol. 98(392), pages 746-754, September.
    15. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    16. Anderson, Keith & Brooks, Chris & Katsaris, Apostolos, 2010. "Speculative bubbles in the S&P 500: Was the tech bubble confined to the tech sector?," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 345-361, June.
    17. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    18. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    19. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    20. Chris Brooks & Apostolos Katsaris, 2005. "A Three-Regime Model of Speculative Behaviour: Modelling the Evolution of the S&P 500 Composite Index," Economic Journal, Royal Economic Society, vol. 115(505), pages 767-797, July.
    21. Ralitsa Petkova, 2006. "Do the Fama–French Factors Proxy for Innovations in Predictive Variables?," Journal of Finance, American Finance Association, vol. 61(2), pages 581-612, April.
    22. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    23. Gikas A. Hardouvelis, 1988. "Evidence on stock market speculative bubbles: Japan, the United States, and Great Britain," Quarterly Review, Federal Reserve Bank of New York, vol. 13(Sum), pages 4-16.
    24. 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.
    25. van Norden, Simon, 1996. "Regime Switching as a Test for Exchange Rate Bubbles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 219-251, May-June.
    26. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
    27. Jonathan Fletcher, 2010. "Arbitrage and the Evaluation of Linear Factor Models in UK Stock Returns," The Financial Review, Eastern Finance Association, vol. 45(2), pages 449-468, May.
    28. Dezhbakhsh, Hashem & Demirguc-Kunt, Asli, 1990. "On the Presence of Speculative Bubbles in Stock Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(1), pages 101-112, March.
    29. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    30. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    31. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    32. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
    33. Bart Hobijn & Boyan Jovanovic, 2001. "The Information-Technology Revolution and the Stock Market: Evidence," American Economic Review, American Economic Association, vol. 91(5), pages 1203-1220, December.
    34. Jørgen Vitting Andersen, 2011. "Pricing Stocks with Yardsticks and Sentiments," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01396611, HAL.
    35. Donaldson, R Glen & Kamstra, Mark, 1996. "A New Dividend Forecasting Procedure That Rejects Bubbles in Asset Prices: The Case of 1929's Stock Crash," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 333-383.
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    Cited by:

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    2. Julián Fernández Mejía & Jorge Mario Uribe, 2016. "Análisis de procesos explosivos en el precio de los activos financieros: evidencia alrededor del mundo," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 8(1), pages 83-103, March.
    3. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad, 2019. "Identification of multiple stock bubbles in an emerging market: application of GSADF approach," Economic Change and Restructuring, Springer, vol. 52(3), pages 301-326, August.
    4. Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2021. "Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1593-1621, May.
    5. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Measuring uncertainty in the stock market," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 18-33.
    6. Ullah, Irfan & Ahmed, Mumtaz, 2021. "Identifying Phases of Ebullience in EFTA Stock Markets," MPRA Paper 109633, University Library of Munich, Germany.
    7. Tran, Thi Bich Ngoc, 2017. "Speculative bubbles in emerging stock markets and macroeconomic factors: A new empirical evidence for Asia and Latin America," Research in International Business and Finance, Elsevier, vol. 42(C), pages 454-467.

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    More about this item

    Keywords

    Speculative bubbles; Asset pricing; Stock returns; CAPM; Cross-sectional variation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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