Tính liên tục giá cả và biến động trên thị trường REIT của Hoa Kỳ

Springer Science and Business Media LLC - Tập 7 - Trang 1-10 - 2021
Oluwasegun B. Adekoya1, Gabriel O. Oduyemi2, Johnson A. Oliyide1
1Department of Economics, Federal University of Agriculture, Abeokuta, Nigeria
2Department of Economics, Tai Solarin University of Education, Ijebu-Ode, Nigeria

Tóm tắt

Nghiên cứu này xem xét lại vấn đề hiệu quả thị trường REIT của Hoa Kỳ với hai khoảng trống đáng chú ý được phát hiện. Nhận thấy những phức tạp, sự thay đổi cấu trúc và phi tuyến tính trong các thị trường tài chính hiện đại, chúng tôi áp dụng kỹ thuật tích phân phân đoạn, kỹ thuật này hoạt động hiệu quả hơn các kỹ thuật thường dùng khác khi có sự thay đổi cấu trúc, tích phân phân đoạn, tính ổn định xu hướng và sự chuyển đổi chế độ trong chuỗi thời gian. Tóm tắt các kết quả của chúng tôi, chúng tôi phát hiện rằng thị trường REIT của Hoa Kỳ là hiệu quả trong mẫu tổng thể. Tuy nhiên, khi dữ liệu được chia, hiệu quả thị trường chỉ xảy ra trong giai đoạn trước khủng hoảng, nhưng trở nên kém hơn trong thời kỳ khủng hoảng và sau khủng hoảng. Ngoài ra, bằng chứng về hành vi hồi quy trung bình với bộ nhớ dài được xác lập cho biến động REIT, mặc dù sự hồi quy trung bình chậm hơn trong và sau khủng hoảng. Những kết quả này là vững chắc trước các phép đo dữ liệu khác nhau và có ý nghĩa chính sách quan trọng đối với các nhà đầu tư tiềm năng và các nhà hoạch định chính sách liên quan.

Từ khóa

#REIT #hiệu quả thị trường #tích phân phân đoạn #biến động tài chính #khủng hoảng tài chính

Tài liệu tham khảo

Abbaszadeh MR, Nooghabi MJ, Rounaghi MM (2020) Using Lyapunov’s method for analyzing of chaotic behaviour on financial time series data: a case study on Tehran stock exchange. Nat Account Rev 2:297–308 Adekoya OB (2019) Modeling of persistence and seasonality in sectoral energy consumption in the USA using fractionally integrated processes: Implications for economic policy. Nat Resour Res. https://doi.org/10.1007/s11053-019-09599-x Adekoya OB (2020) Long memory in the energy consumption by source of the United States: fractional integration, seasonality effect and structural breaks. Estud Econ 47:31–48 Adekoya OB (2020) Persistence and efficiency of OECD stock markets: Linear and nonlinear fractional integration approaches. Empirical Econ. https://doi.org/10.1007/s00181-020-01913-4 Aguilar, M., Boudry, W. and Connolly, R. (2015). Cross-sectional dynamics of REIT market efficiency. Working paper presented at NAREIT-AREUEA Real Estate Research Conference, New York. Almudhaf F, Hansz AJ (2018) Random walks and market efficiency: evidence from real estate investment trust (REIT) subsectors. Int J Strategy Property Manag 22:81–92 Assaf A (2015) Long memory and level shifts in REITs returns and volatility. Int Rev Financ Anal 42:172–182 Begiazi K, Asteriou D, Pilbeam K (2016) A multivariate analysis of United States and global real estate investment trusts. IEEP 13:467–482 Case B, Hardin WG, Wu Z (2012) REIT dividend policies and dividend announcement effects during the 2008–2009 liquidity crisis. Real Estate Econom 40:387–421 Case B, Yang Y, Yildirim Y (2012) Dynamic correlations among asset classes: REIT and stock returns. J Real Estate Finan Econom 44:298–318 Chang G-D, Chen C-S (2014) Evidence of contagion in global REITs investment. Int Rev Econ Financ 31:148–158 Chen S, Shen C (2012) Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach. Econ Model 29:291–298 Cotter J, Stevenson S (2008) Modeling long memory in REITs. Real Estate Econom 36:533–554 Dahlhaus R (1989) Efficient parameter estimation for self-similar process. Ann Stat 17:1749–1766 Fan Z, Zhang S (2002) Efficiency and fractal market theory of financial markets. Syst Eng Theory Pract 22:13–19 Gil-Alana LA, Gupta R, Shittu OI, Yaya OS (2018) Market efficiency of Baltic stock markets: a fractional integration approach. Physica A 511:251–262 Granger CWJ, Hyung N (2004) Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns. J Empir Financ 11:399–421 Gupta R, Marfatia HA (2018) The impact of unconventional monetary policy shocks in the U.S. on emerging market REITs. J Real Estate Lit 26:175–188 Ho KHD, Tay SJ (2016) REIT market efficiency through a binomial option pricing tree approach. J Property Invest Finance 34:496–520 Hui ECM, Yam SCP (2014) Can we beat the “buy-and-hold” strategy? Analysis on European and American securitized real estate indices. Int J Strategy Property Manag 18:28–37 Jaml, E. (2013). The effectiveness and efficiency of REITs performance in Malaysia. In: Social Science Electronic Publishing. Jirasakuldech B, Knight J (2005) Efficiency in the market for REITs: Further evidence. J Real Estate Portfolio Manag 11:123–132 Kleiman R, Payne J, Sahu A (2002) Random walks and market efficiency: evidence from international real estate markets. J Real Estate Res 24:279–298 Kuhle J, Alvayay J (2000) The efficiency of equity REIT prices. Jf Real Estate Portfolio Manag 6:349–354 Lee M, Chiang K (2004) Substitutability between equity REITs and mortgage REITs. J Real Estate Res 26:95–113 Lee MT, Lee MI, Chiu BH, Lee CL (2014) Do lunar phases affect US REIT returns? Invest Anal J 43:67–78 Liow KH (2009) Long-term memory in volatility: some evidence from international securitized real estate markets. J Real Estate Finan Econom 39:415–438 Liu J, Cheng C, Yang X, Yan L, Lai Y (2019) Analysis of the efficiency of Hong Kong REITs market based on Hurst exponent. Physica A 534:122035. https://doi.org/10.1016/j.physa.2019.122035 Marfatia HA, Gupta R, Cakan E (2017) The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises. North Am J Econom Finan 42:640–653 Mikosch T, Starica C (2004) Nonstationarities in financial time series, the long-range dependence, and the IGARCH effects. Rev Econ Stat 86:378–390 Miyakoshi T, Shimada J, Li K (2016) The impacts of the 2008 and 2011 crises on the Japan REIT market. J Japan Int Econom 41:30–40 Moradi M, Nooghabi MJ, Rounaghi MM (2021) Investigation of fractal market hypothesis and forecasting time series stock returns for Tehran Stock Exchange and London Stock Exchange. Int J Financ Econ 26:662–678 Nelling E, Gyourko J (1998) The predictability of equity REIT returns. J Real Estate Res 16:251–268 Robinson PM (1994) Semiparametric analysis of long memory time series. Ann Stat 22:515–539 Robinson PM (1995) Gaussian semiparametric estimation of long range dependence. Ann Stat 23:1630–1661 Rogers N, Winson-Geideman K, Karafiath I (2014) The impact of trading volume on REIT volatility using the GARCH model. J Real Estate Portfolio 20:167–178 Stevenson S (2002) Momentum effects and mean reversion in real estate securities. J Real Estate Res 23:47–64 Stevenson S (2002) An examination of volatility spillovers in REIT returns. J Real Estate Portfolio Manag 8:229–238 Su J, Cheung A, Roca E (2012) Are securitized real estate markets efficient?: New international evidence based on an improved automatic portmanteau test. Econ Model 29:684–690 Wen F, Yang X, Zhou WX (2019) Tail dependence networks of global stock markets. Int J Financ Econ 24:558–567 Zhang J (2017) REITs market efficiency analysis based on present-value model. Statist Decis 15:173–177 Zhang H, Sun X (2015) Research on market efficiency of REITs based on Wild Bootstrap variance ratio test: Taking Hong Kong as an example. Finan Theory Pract 8:103–107 Zheng, Y. (2016). Evidence of market efficiency on Asia-Pacific REITs. https//ir.lib.ntust.edu.tw/handle/987654321/64295 Zhou J (2011) Long memory in REIT volatility revisited: Genuine or spurious, and self-similar? J Prop Res 28:213–232 Zhou J, Lee JM (2013) Adaptive market hypothesis: Evidence from the REIT market. Appl Finan Econo 23:1649–1662