Abstract
We examine the relation of time-varying idiosyncratic risk and momentum returns in REITs using a GARCH-in-mean model and incorporate liquidity risk in the asset pricing model. This is important because illiquidity may be more severe for REITs due to the nature of their underlying assets. We find that momentum returns display asymmetric volatility, i.e., momentum returns are higher when volatility is higher. Additionally, we find evidence that REITs with lowest past returns (losers) have higher idiosyncratic risks than those with highest past returns (winners) and that investors require a lower risk premium for holding losers’ idiosyncratic risks. Therefore, although losers have higher levels of idiosyncratic risks, their low risk premia cause low returns, which contribute to momentum. Lastly, we find a positive relation between REITs’ momentum return and turnover.
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Notes
Jegadeesh and Titman (2001) suggest that momentum returns cannot be explained by cross-sectional dispersion in returns. Behavioral explanations on momentum returns include investors’ underreaction to firm-specific news (Barberis et al. 1998 and Grinblatt and Han 2005) or overreaction to firm-specific news (Daniel et al. 1998, 2001, Hong and Stein 1999, and Barberis et al. 2003).
Lee and Swaminathan (2000) and Connolly and Stivers (2003) suggest that industry past volume predicts future returns. Grundy and Martin (2001) and Jegadeesh and Titman (2001) find that cross-sectional differences in expected returns is not the dominant cause of momentum. Chordia and Shivakumar (2002) show that most momentum can be explained by lagged treasury-bill yield, market dividend yield, term spread, and default spread. Johnson (2002) suggests that a cross-sectional dividend growth rate should be responsible for momentum. Ahn et al. (2003), Moskowitz (2003) provide a stochastic discount factor to measure risk premium in momentum, and report that when correct risk factor is used, momentum disappears.
A rise in stock price due to positive past returns (winners) will decrease leverage of firms, and thus decrease volatility. On the other hand, a drop in stock price due to negative past returns (losers) will increase leverage of firms, and therefore increase volatility. As a result, the negative relation between volatilities and returns can be explained by leverages of firms.
Bekaert and Wu (2000) examine the leverage effect and time-varying risk premium and suggest that asymmetric volatility is caused by the variance dynamics at the firm level, not by changes in leverage, and thus volatility feedback effect is the dominant cause. Wu (2001) examines both the leverage effect and volatility feedback effect and finds that the volatility feedback is significant both statistically and economically. Dennis et al. (2006) find that market-level systematic volatility is the major factor that causes asymmetric volatility in individual stock returns, and thus support the volatility feedback hypothesis.
See Fama and French (1993).
See Bollerslev, Chou and Kroner (1992) for a review of ARCH modeling.
Ang et al. (2006) find that firms with high idiosyncratic volatility have lower expected return.
We select this sample period because before 1983 there are only a few number of REITs to form momentum portfolios.
10% is the conventional breakpoint used in momentum studies, whereas 30% is the breakpoint used in most REIT momentum studies due to REITs’ smaller sample size.
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Hung, SY.K., Glascock, J.L. Volatilities and Momentum Returns in Real Estate Investment Trusts. J Real Estate Finan Econ 41, 126–149 (2010). https://doi.org/10.1007/s11146-008-9165-8
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DOI: https://doi.org/10.1007/s11146-008-9165-8