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Overreaction in the REITs Market: New Evidence from Quantile Autoregression Approach

Author

Listed:
  • Geoffrey M. Ngene

    (Stetson-Hatcher School of Business, Mercer University, 1501 Mercer University Drive, Macon, GA 32107, USA)

  • Catherine Anitha Manohar

    (Ageno School of Business, Golden Gate University, 536 Mission St. San Francisco, CA 94105, USA)

  • Ivan F. Julio

    (Metropolitan College, Boston University, 1010 Commonwealth Avenue, RM 428, Boston, MA 02215, USA)

Abstract

Real estate investment trusts (REITs) provide portfolio diversification and tax benefits, a stable stream of income, and inflation hedging to investors. This study employs a quantile autoregression model to investigate the dependence structures of REITs’ returns across quantiles and return frequencies. This approach permits investigation of the marginal and aggregate effects of the sign and size of returns, business cycles, volatility, and REIT eras on the dependence structure of daily, weekly, and monthly REIT returns. The study documents asymmetric and misaligned dependence patterns. A bad market state is characterized by either positive or weakly negative dependence, while a good market state is generally marked by negative dependence on past returns. The results are consistent with under-reaction to good news in a bad state and overreaction to bad news in a good state. Past negative returns increase and decrease the predictability of REIT returns at lower and upper quantiles, respectively. Extreme positive returns in the lower (upper) quantiles dampen (amplify) autocorrelation of daily, weekly, and monthly REIT returns. The previous day’s REIT returns dampen autoregression more during recession periods than during non-recession periods. The marginal impact of the high volatility of daily returns supports a positive feedback trading strategy. The marginal impact of the Vintage REIT era on monthly return autocorrelation is higher than the New REIT era, suggesting that increased participation of retail and institutional investors improves market efficiency by reducing REITs’ returns predictability. Overall, the evidence supports the time-varying efficiency of the REITs markets and adaptive market hypothesis. The predictability of REIT returns is driven by the state of the market, sign, size, volatility, and frequency of returns. The results have implications for trading strategies, policies for the real estate securitization process, and investment decisions.

Suggested Citation

  • Geoffrey M. Ngene & Catherine Anitha Manohar & Ivan F. Julio, 2020. "Overreaction in the REITs Market: New Evidence from Quantile Autoregression Approach," JRFM, MDPI, vol. 13(11), pages 1-28, November.
    • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:11:p:282-:d:445319
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    as
    1. Chui, Andy C. W. & Titman, Sheridan & Wei, K. C. John, 2003. "Intra-industry momentum: the case of REITs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 363-387, May.
    2. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    3. Nikolaou, Kleopatra, 2008. "The behaviour of the real exchange rate: Evidence from regression quantiles," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 664-679, May.
    4. Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012. "Stock return autocorrelations revisited: A quantile regression approach," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 254-265.
    5. Schindler, Felix & Rottke, Nico & Füss, Roland, 2009. "Testing the predictability and efficiency of securitized real estate markets," ZEW Discussion Papers 09-054, ZEW - Leibniz Centre for European Economic Research.
    6. Escanciano, J. Carlos & Lobato, Ignacio N., 2009. "An automatic Portmanteau test for serial correlation," Journal of Econometrics, Elsevier, vol. 151(2), pages 140-149, August.
    7. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    8. Simon Stevenson, 2002. "Momentum Effects and Mean Reversion in Real Estate Securities," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 47-64.
    9. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    10. Kim Liow, 2009. "Long-term Memory in Volatility: Some Evidence from International Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 39(4), pages 415-438, November.
    11. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    12. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    13. Kim Hin David Ho & Shea Jean Tay, 2016. "REIT market efficiency through a binomial option pricing tree approach," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 34(5), pages 496-520, August.
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. Craig W. Holden & Avanidhar Subrahmanyam, 2002. "News Events, Information Acquisition, and Serial Correlation," The Journal of Business, University of Chicago Press, vol. 75(1), pages 1-32, January.
    16. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    17. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    18. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    19. Vinod Chandrashekaran, 1999. "Time-Series Properties and Diversification Benefits of REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 17(1), pages 91-112.
    20. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    21. E. Hui & J. Wright & S. Yam, 2014. "Calendar Effects and Real Estate Securities," The Journal of Real Estate Finance and Economics, Springer, vol. 49(1), pages 91-115, July.
    22. Zhilan Feng & S. McKay Price & C.F. Sirmans, 2014. "The Relation between Momentum and Drift: Industry-Level Evidence from Equity Real Estate Investment Trusts (REITs)," Journal of Real Estate Research, American Real Estate Society, vol. 36(3), pages 383-408.
    23. Szu-Yin Hung & John Glascock, 2008. "Momentum Profitability and Market Trend: Evidence from REITs," The Journal of Real Estate Finance and Economics, Springer, vol. 37(1), pages 51-69, July.
    24. Jianfu Shen & Eddie C.M. Hui & Kwokyuen Fan, 2021. "The Beta Anomaly in the REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 414-436, October.
    25. James D. Peterson & Cheng‐Ho Hsieh, 1997. "Do Common Risk Factors in the Returns on Stocks and Bonds Explain Returns on REITs?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(2), pages 321-345, June.
    26. Mike Aguilar & Walter I. Boudry & Robert A. Connolly, 2018. "The Dynamics of REIT Pricing Efficiency," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 46(1), pages 251-283, March.
    27. Paul Goebel & David Harrison & Jeffrey Mercer & Ryan Whitby, 2013. "REIT Momentum and Characteristic-Related REIT Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 47(3), pages 564-581, October.
    28. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    29. John Cotter & Simon Stevenson, 2008. "Modeling Long Memory in REITs," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 533-554, September.
    30. Mei, Jianping & Gao, Bin, 1995. "Price Reversal, Transaction Costs, and Arbitrage Profits in the Real Estate Securities Market," The Journal of Real Estate Finance and Economics, Springer, vol. 11(2), pages 153-165, September.
    31. Karolyi, G Andrew & Sanders, Anthony B, 1998. "The Variation of Economic Risk Premiums in Real Estate Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 17(3), pages 245-262, November.
    32. Chevapatrakul, Thanaset & Mascia, Danilo V., 2019. "Detecting overreaction in the Bitcoin market: A quantile autoregression approach," Finance Research Letters, Elsevier, vol. 30(C), pages 371-377.
    33. Ming-Long Lee & Kevin C.H. Chiang, 2004. "Substitutability between Equity REITs and Mortgage REITs," Journal of Real Estate Research, American Real Estate Society, vol. 26(1), pages 95-114.
    34. Clayton, Jim & MacKinnon, Greg, 2003. "The Relative Importance of Stock, Bond and Real Estate Factors in Explaining REIT Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 27(1), pages 39-60, July.
    35. Lili Li & Shan Leng & Jun Yang & Mei Yu, 2016. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, September.
    36. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    37. Kyoung-Sook Moon & Yunju Jeong & Hongjoong Kim, 2016. "An Efficient Binomial Method for Pricing Asian Options," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 151-164.
    38. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    39. Thomas J. Brennan & Andrew W. Lo, 2011. "The Origin of Behavior," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 55-108.
    40. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    41. Robert W. Faff & Michael D. McKenzie, 2007. "The relationship between implied volatility and autocorrelation," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 3(2), pages 191-196, April.
    42. Robert T. Kleiman & James E. Payne & Anandi P. Sahu, 2002. "Random Walks and Market Efficiency: Evidence from International Real Estate Markets," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 279-298.
    43. Liu, Jian & Cheng, Cheng & Yang, Xianglin & Yan, Lizhao & Lai, Yongzeng, 2019. "Analysis of the efficiency of Hong Kong REITs market based on Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    44. Glascock, John L & Lu, Chiuling & So, Raymond W, 2000. "Further Evidence on the Integration of REIT, Bond, and Stock Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 20(2), pages 177-194, March.
    45. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    46. Basu, Sudipta, 1997. "The conservatism principle and the asymmetric timeliness of earnings," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 3-37, December.
    47. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    48. Fischer Black, 1989. "Mean Reversion and Consumption Smoothing," NBER Working Papers 2946, National Bureau of Economic Research, Inc.
    49. Sias, Richard W. & Starks, Laura T., 1997. "Return autocorrelation and institutional investors," Journal of Financial Economics, Elsevier, vol. 46(1), pages 103-131, October.
    50. Jonathan Lewellen, 2002. "Momentum and Autocorrelation in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 533-564, March.
    51. Assaf, Ata, 2015. "Long memory and level shifts in REITs returns and volatility," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 172-182.
    52. Jian Zhou & Jin Man Lee, 2013. "Adaptive market hypothesis: evidence from the REIT market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1649-1662, November.
    53. Ying Hao & Hsiang-Hui Chu & Kuan-Cheng Ko & Lin Lin, 2016. "Momentum Strategies and Investor Sentiment in the REIT Market," International Review of Finance, International Review of Finance Ltd., vol. 16(1), pages 41-71, March.
    54. Edward Nelling & Joseph Gyourko, 1998. "The Predictability of Equity REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 16(3), pages 251-268.
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