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An Examination of Risk-Return Relationship in Bull and Bear Markets Using Time-Varying Betas

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  • Chen, Son-Nan

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  • Chen, Son-Nan, 1982. "An Examination of Risk-Return Relationship in Bull and Bear Markets Using Time-Varying Betas," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(02), pages 265-286, June.
  • Handle: RePEc:cup:jfinqa:v:17:y:1982:i:02:p:265-286_01
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    Cited by:

    1. Yu-Lieh Huang, 2009. "Identifying turbulent and calm regimes in stock prices: evidence from the Taiwan stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 16(14), pages 1477-1481.
    2. Don U.A. Galagedera, 2004. "A survey on risk-return analysis," Finance 0406010, EconWPA.
    3. Eduardo Roca & Victor Wong, 2008. "An analysis of the sensitivity of Australian superannuation funds to market movements: a Markov regime switching approach," Applied Financial Economics, Taylor & Francis Journals, vol. 18(7), pages 583-597.
    4. Don U.A. Galagedera & Roland Shami, 2003. "Association between Markov regime-switching market volatility and beta risk: Evidence from Dow Jones industrial securities," Monash Econometrics and Business Statistics Working Papers 20/03, Monash University, Department of Econometrics and Business Statistics.
    5. Lunde A. & Timmermann A., 2004. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 253-273, July.
    6. Srikanta Kundu & Nityananda Sarkar, 2016. "Is the Effect of Risk on Stock Returns Different in Up and Down Markets? A Multi-Country Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 53-71, September.
    7. Safari, Meysam & TahmooresPour, Reza, 2011. "Moderation Effect of Market Condition on the Relationship between Dividend Yield and Stock Return," MPRA Paper 28913, University Library of Munich, Germany.
    8. Cogneau, Philippe & Hübner, Georges, 2015. "The prediction of fund failure through performance diagnostics," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 224-241.
    9. Eduardo Roca & Victor Wong & Gurudeo Tularam, 2010. "The Market Sensitivity of Australian Superannuation Socially Responsible Investment Funds. Evidence from a Markov Regime Switching Approach," Discussion Papers in Finance finance:201012, Griffith University, Department of Accounting, Finance and Economics.
    10. Dębski Wiesław & Feder-Sempach Ewa & Świderski Bartosz, 2014. "Intervalling Effect On Estimating The Beta Parameter For The Largest Companies On The WSE," Folia Oeconomica Stetinensia, De Gruyter Open, vol. 14(2), pages 270-286, December.
    11. Octave JOKUNG & Jean-Christophe MEYFREDI, 2004. "Improving the Market Model: The 4-State Model Alternative," Finance 0403006, EconWPA.
    12. Nikolaos G. Theriou & Vassilios P. Aggelidis & Dimitrios I. Maditinos & Željko Ševic, 2010. "Testing the relation between beta and returns in the Athens stock exchange," Managerial Finance, Emerald Group Publishing, vol. 36(12), pages 1043-1056, October.
    13. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Intertemporal risk–return relationships in bull and bear markets," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 308-325.
    14. Soosung Hwang & Christian Pedersen, 2002. "On Empirical Risk Measurement with Asymmetric Returns Data," Working Papers wp02-03, Warwick Business School, Finance Group.
    15. Hwang, Soosung & Pedersen, Christian S., 2004. "Asymmetric risk measures when modelling emerging markets equities: evidence for regional and timing effects," Emerging Markets Review, Elsevier, vol. 5(1), pages 109-128, March.
    16. Korkmaz, Turhan & Cevik, Emrah Ismail & Birkan, Elif & Özataç, Nesrin, 2010. "Testing CAPM using Markov switching model: the case of coal firms," MPRA Paper 71479, University Library of Munich, Germany, revised 2010.
    17. Kim, Moon K. & Ismail, Badr E., 1998. "An accounting analysis of the risk-return relationship in bull and bear markets," Review of Financial Economics, Elsevier, vol. 7(2), pages 173-182.
    18. Woodward, George & Marisetty, Vijaya B., 2005. "Introducing non-linear dynamics to the two-regime market model: Evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 559-581, September.
    19. Bejaoui, Azza & Karaa, Adel, 2016. "Revisiting the bull and bear markets notions in the Tunisian stock market: New evidence from multi-state duration-dependence Markov-switching models," Economic Modelling, Elsevier, vol. 59(C), pages 529-545.
    20. Chiao, Chaoshin & Hung, Ken & Srivastava, Suresh C., 2003. "Taiwan stock market and four-moment asset pricing model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(4), pages 355-381, October.
    21. S. D. Bekiros & D. A. Georgoutsos, 2008. "Direction-of-change forecasting using a volatility-based recurrent neural network," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 407-417.
    22. Wasim, Ahmad & Bandi, Kamaiah, 2011. "Identifying regime shifts in Indian stock market: A Markov switching approach," MPRA Paper 37174, University Library of Munich, Germany, revised 08 Mar 2012.
    23. Bekiros, Stelios D., 2013. "Irrational fads, short-term memory emulation, and asset predictability," Review of Financial Economics, Elsevier, vol. 22(4), pages 213-219.
    24. Safari, Meysam, 2009. "Dividend Yield and Stock Return in Different Economic Environment: Evidence from Malaysia," MPRA Paper 23841, University Library of Munich, Germany.
    25. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.

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