Title
Linear Regression
Keywords
ETFs; real estate; REITs; volatility
Abstract
Exchange Traded Funds (ETFs), including the innovative leveraged (long and inverse) types, and the ever more creative traditional versions, are accelerating in popularity as preferred investment and trading vehicles. Real estate, a major investment sector, has been made more accessible through these tools. This study investigates if the introduction of real estate ETFs is impacting the volatility of their underlying real estate stocks. Tests conclude that the introduction of leveraged (long and inverse) and traditional real estate and real estate related ETFs, linked to the Dow Jones US Real Estate and Financial Indices and the leveraged (long and inverse) ETFs, benchmarked to the Russell 1000 Financial Services Index, significantly increased the volatility in their component real estate stock prices. The leveraged ETFs tied to the Dow Jones US Real Estate and Financial Indices caused the highest volatility, approximately tripling the volatility in the underlying real estate securities. Traditional ETFs were second, causing slightly more than a 70% increase in volatility, while the leveraged ETFs linked to the Russell 1000 Financial Services Index, having induced a 50% increase in volatility, were third. The increased volatility could not be attributed to any other external event. © 2012 Copyright Taylor and Francis Group, LLC.
Publication Date
5-1-2012
Publication Title
Wiley Interdisciplinary Reviews: Computational Statistics
Volume
4
Issue
9
Number of Pages
275-294
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1002/wics.1198
Copyright Status
Unknown
Socpus ID
84868190974 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84868190974
STARS Citation
Su, Xiaogang; Yan, Xin; and Tsai, Chih Ling, "Linear Regression" (2012). Scopus Export 2010-2014. 5264.
https://stars.library.ucf.edu/scopus2010/5264