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Testing factor models when asset bubbles occur: A time-varying perspective

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  • Yu, Lu
  • Li, Yanglin

Abstract

Financial market conditions vary over time, which makes it important to consider a factor model’s performance in different situations. The existing literature typically tests factor pricing models over a long time horizon. In this study, we test a three-factor model on Chinese data in two market periods: the bubble and the normal. We find that stock returns are more volatile during the bubble period, which results in severe power loss in the Gibbons–Ross–Shanken (GRS) test. To this end, we propose a wild bootstrap GRS test to address the effect of time-varying volatility on stock returns. The model has excellent explanatory power in the normal period but performs poorly in the bubble period. Our approach is applicable to testing factor models in time-varying real stock returns.

Suggested Citation

  • Yu, Lu & Li, Yanglin, 2023. "Testing factor models when asset bubbles occur: A time-varying perspective," Economic Modelling, Elsevier, vol. 124(C).
    • Handle: RePEc:eee:ecmode:v:124:y:2023:i:c:s0264999323001232
    DOI: 10.1016/j.econmod.2023.106311
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    References listed on IDEAS

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    1. 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(4), pages 1043-1078, November.
    2. Jiang, Liang & Phillips, Peter C.B. & Yu, Jun, 2015. "New methodology for constructing real estate price indices applied to the Singapore residential market," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 121-131.
    3. Jiangze Bian & Zhiguo He & Kelly Shue & Hao Zhou, 2018. "Leverage-Induced Fire Sales and Stock Market Crashes," NBER Working Papers 25040, National Bureau of Economic Research, Inc.
    4. Joel L. Horowitz, 2019. "Bootstrap Methods in Econometrics," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 193-224, August.
    5. Lewellen, Jonathan & Nagel, Stefan & Shanken, Jay, 2010. "A skeptical appraisal of asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 175-194, May.
    6. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    7. Phillips, Peter C.B. & Shi, Shu-Ping, 2018. "Financial Bubble Implosion And Reverse Regression," Econometric Theory, Cambridge University Press, vol. 34(4), pages 705-753, August.
    8. 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.
    9. Wang, Shaoping & Yu, Lu & Zhao, Qing, 2021. "Do factor models explain stock returns when prices behave explosively? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    10. Geuder, Julian & Kinateder, Harald & Wagner, Niklas F., 2019. "Cryptocurrencies as financial bubbles: The case of Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
    11. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    12. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2008. "Bootstrap Unit Root Tests For Time Series With Nonstationary Volatility," Econometric Theory, Cambridge University Press, vol. 24(1), pages 43-71, February.
    13. Guo, Bin & Zhang, Wei & Zhang, Yongjie & Zhang, Han, 2017. "The five-factor asset pricing model tests for the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 84-106.
    14. Ping‐Wen Sun & Yifan Shen & Meifen Qian & Wu Yan, 2021. "Risk of holding stocks with liquidity sensitive to market uncertainty: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1993-2029, April.
    15. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    16. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
    17. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    18. Zhao, Zhao & Wen, Huwei & Li, Ke, 2021. "Identifying bubbles and the contagion effect between oil and stock markets: New evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 780-788.
    19. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    20. Alexakis, Panayotis & Apergis, Nicholas, 1996. "ARCH effects and cointegration: Is the foreign exchange market efficient?," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 687-697, May.
    21. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    22. Li, Zhiyong & Rao, Xiao, 2022. "Evaluating asset pricing models: A revised factor model for China," Economic Modelling, Elsevier, vol. 116(C).
    23. Eugene F. Fama & Kenneth R. French, 2016. "Dissecting Anomalies with a Five-Factor Model," Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 69-103.
    24. Lin, Qi, 2017. "Noisy prices and the Fama–French five-factor asset pricing model in China," Emerging Markets Review, Elsevier, vol. 31(C), pages 141-163.
    25. Li, Yanglin & Wang, Shaoping & Zhao, Qing, 2021. "When does the stock market recover from a crisis?," Finance Research Letters, Elsevier, vol. 39(C).
    26. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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