An examination of the REIT return–implied volatility relation: a frequency domain approach

被引:0
|
作者
Anoruo E. [1 ]
Murthy V.N.R. [2 ]
机构
[1] College of Business, Coppin State University, Baltimore, 21216, MD
[2] Department of Finance and Economics, Creighton University, 2500 California Plaza, Omaha, 68178, NE
关键词
Frequency domain causality; Implied volatility; REITS; VIX;
D O I
10.1007/s12197-016-9378-2
中图分类号
学科分类号
摘要
This paper examines the relationship between implied volatility (the VIX) and REIT returns using frequency domain approach which allows shocks to vary across frequency bands. The distinguishing feature of the frequency domain method is that it enables the investigator assess quantitatively the impact of independent variables on the dependent variable at different frequencies across the spectra. The estimates of the parameter of interest from the frequency domain analysis may reveal rich policy implications. Specifically, at issue is whether implied volatility can be used to predict movements in REIT returns at different frequencies in the United States. The results from the frequency domain regression show that implied volatility and REIT returns have significantly negative effect on each other at the low-, medium- and long-term frequencies. Furthermore, the empirical findings from the frequency domain causality tests indicate that causality runs from implied volatility to all and equity REIT returns in the short- and medium-term frequencies but not vice versa. However, it is interesting to note that the results show causality running from mortgage REIT returns to implied volatility in the medium term. Taken together, the results from this study suggest that knowledge of implied volatility can help the investors to predict movements in the capital market and hence, to some extent, they can protect their portfolios against uncertainties. © 2016, Springer Science+Business Media New York.
引用
收藏
页码:581 / 594
页数:13
相关论文
共 50 条
  • [1] IMPLIED VOLATILITY AND THE RISK-RETURN RELATION: A NOTE
    Kanas, Angelos
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2013, 18 (02) : 159 - 164
  • [2] THE RETURN-IMPLIED VOLATILITY RELATION FOR COMMODITY ETFS
    Padungsaksawasdi, Chaiyuth
    Daigler, Robert T.
    JOURNAL OF FUTURES MARKETS, 2014, 34 (03) : 261 - 281
  • [3] A high-frequency analysis of the interactions between REIT return and volatility
    Zhou, Jian
    ECONOMIC MODELLING, 2016, 56 : 102 - 108
  • [4] Uncovering a positive risk-return relation: The role of implied volatility index
    Kanas A.
    Review of Quantitative Finance and Accounting, 2014, 42 (1) : 159 - 170
  • [5] Volatility in US Housing Sector and the REIT Equity Return
    Alam, Masud
    JOURNAL OF REAL ESTATE FINANCE AND ECONOMICS, 2024, 69 (03): : 505 - 544
  • [6] The relation between implied and realized volatility
    Christensen, BJ
    Prabhala, NR
    JOURNAL OF FINANCIAL ECONOMICS, 1998, 50 (02) : 125 - 150
  • [7] An Empirical Examination of the Relation between the Option-Implied Volatility Smile and Heterogeneous Beliefs
    Feng, Shu
    Pu, Xiaoling
    Zhang, Yi
    JOURNAL OF DERIVATIVES, 2018, 25 (04): : 36 - 47
  • [8] Improved differential approach to computing implied volatility - Implied volatility surface model
    Zhang, Ai-Ling
    Wu, Chong-Feng
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2007, 41 (12): : 1985 - 1989
  • [9] Forecasting Stock Return Volatility: A Comparison of GARCH, Implied Volatility, and Realized Volatility Models
    Kambouroudis, Dimos S.
    McMillan, David G.
    Tsakou, Katerina
    JOURNAL OF FUTURES MARKETS, 2016, 36 (12) : 1127 - 1163
  • [10] Exploring Return Dynamics via Corridor Implied Volatility
    Andersen, Torben G.
    Bondarenko, Oleg
    Gonzalez-Perez, Maria T.
    REVIEW OF FINANCIAL STUDIES, 2015, 28 (10): : 2902 - 2945