Analysis of the efficiency of Hong Kong REITs market based on Hurst exponent

Abstract At present, as China promotes the virtuous circle of housing leasing market, Real Estate Investment Trusts (REITs) has become an important investment and financing tool. In this paper, Hurst exponent is used to examine the efficiency of Hong Kong REITs market in China, and time-varying Hurst exponent is used to explore the dynamic changes of its efficiency. The empirical results of the Hong Kong REITs market show that the Hong Kong REITs market has not yet reached weak efficiency, and it is basically in a state of inefficiency from November 25 2005 to October 10, 2018, with only three times approximate to weak-form efficiency, but the duration is very short. Furthermore, compared with the Hong Kong stock market and the real estate market, the degree of efficiency of the Hong Kong REITs market is the lowest. Finally, on this basis, some countermeasures and suggestions for the development of China’s REITs market are put forward. This paper not only enriches the study of REITs market, but also provides the relevant basis for investors to make investment decisions.

[1]  H. Markowitz,et al.  The Random Character of Stock Market Prices. , 1965 .

[2]  A. Sensoy,et al.  Generalized Hurst exponent approach to efficiency in MENA markets , 2013 .

[3]  Xiaoye Jin The impact of 2008 financial crisis on the efficiency and contagion of Asian stock markets: A Hurst exponent approach , 2016 .

[4]  Edgar E. Peters Chaos and order in the capital markets , 1991 .

[5]  A. Lo Market efficiency from an evolutionary perspective. , 2004 .

[6]  H. Fang,et al.  Are the global REIT markets efficient by a new approach , 2013 .

[7]  K. Ho,et al.  REIT market efficiency through a binomial option pricing tree approach , 2016 .

[8]  S. McGreal,et al.  A Nonparametric Variance-Ratio Test of the Behavior of U.K. Real Estate and Construction Indices , 2007 .

[9]  Random Walks and Market Efficiency: Evidence from International Real Estate Markets , 2007 .

[10]  Apostolos Serletis,et al.  The Hurst exponent in energy futures prices , 2007 .

[11]  M. T. Greene,et al.  Long-term dependence in common stock returns , 1977 .

[12]  H. E. Hurst,et al.  Long-Term Storage Capacity of Reservoirs , 1951 .

[13]  M. C. Jensen Some Anomalous Evidence Regarding Market Efficiency , 1978 .

[14]  E. Roca,et al.  Are securitised real estate markets efficient?: New international evidence based on an improved automatic Portmanteau test , 2012 .

[15]  Edgar E. Peters Fractal Market Analysis: Applying Chaos Theory to Investment and Economics , 1994 .

[16]  Gary S. Shea,et al.  Uncertainty and implied variance bounds in long-memory models of the interest rate term structure , 1991 .

[17]  G. Newell,et al.  The Development and Performance of REITs in Hong Kong , 2010 .

[18]  C. Aloui,et al.  Hurst exponent behavior and assessment of the MENA stock markets efficiency , 2012 .

[19]  Chien-Ming Huang,et al.  REIT Market Efficiency Before and After Inclusion in the S&P 500 , 2009 .

[20]  Uwe Hassler,et al.  Long Memory in Inflation Rates: International Evidence , 1995 .

[21]  A. Assaf Long memory and level shifts in REITs returns and volatility , 2015 .

[22]  P. Samuelson Proof that Properly Anticipated Prices Fluctuate Randomly , 2015 .

[23]  Edgar E. Peters Chaos and Order in the Capital Markets: A New View of Cycles, Prices, and Market Volatility , 1996 .

[24]  K. Lim,et al.  The Evolution of Stock Market Efficiency Over Time: A Survey of the Empirical Literature , 2011 .

[25]  J. Sukpitak,et al.  The influence of trading volume on market efficiency: The DCCA approach , 2016 .

[26]  Miguel Ángel Sánchez,et al.  The Effect of the Underlying Distribution in Hurst Exponent Estimation , 2015, PloS one.

[27]  Fenghua Wen,et al.  Impacts of oil implied volatility shocks on stock implied volatility in China: Empirical evidence from a quantile regression approach , 2019, Energy Economics.

[28]  E. Fama The Behavior of Stock-Market Prices , 1965 .

[29]  Efficiency in the Market for REITs: Further Evidence , 2005 .

[30]  A. Lo Long-Term Memory in Stock Market Prices , 1991 .

[31]  Jian Zhou,et al.  Adaptive market hypothesis: evidence from the REIT market , 2013 .

[32]  Joseph Gyourko,et al.  The Predictability of Equity REIT Returns , 1998 .

[33]  M. Davison,et al.  A comment on measuring the Hurst exponent of financial time series , 2005 .

[34]  S. Narayan,et al.  Testing the adaptive market hypothesis and its determinants for the Indian stock markets , 2016 .

[35]  Fenghua Wen,et al.  Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015 , 2019, Energy.

[36]  J. E. T. Segovia,et al.  Some comments on Hurst exponent and the long memory processes on capital markets , 2008 .

[37]  Wei-Xing Zhou,et al.  Tail dependence networks of global stock markets , 2018, International Journal of Finance & Economics.

[38]  Fenghua Wen,et al.  Crude oil price shocks, monetary policy, and China's economy , 2018, International Journal of Finance & Economics.

[39]  Roland Füss,et al.  Testing the Predictability and Efficiency of Securitized Real Estate Markets , 2010 .

[40]  S. Stevenson,et al.  Modeling Long Memory in REITs , 2007, 1103.5414.