This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample R-squares are 0.96% and 1.72% in good and bad times, or 1.28% and 1.41% in NBER economic expansions and recessions, respectively. The TMR predictability pattern holds in the cross-section of U.S. stocks and the international markets. Our study shows that the absence of return predictability in good times, an important finding of recent studies, is largely driven by the use of the popular one-state predictive regression model.
Return predictability, Mean reversion, Momentum, Market risk premium, Leading economic indicator, 200-day moving average, Business cycle
Finance | Finance and Financial Management
27th Australasian Finance and Banking Conference 2014, Sydney, Australia, 2017 July 31
City or Country
HUANG, Dashan; JIANG, Fuwei; Jun TU; and ZHOU, Guofu.
Forecasting stock returns in good and bad times: The role of market states. (2017). 27th Australasian Finance and Banking Conference 2014, Sydney, Australia, 2017 July 31. Research Collection Lee Kong Chian School Of Business.
Available at: http://ink.library.smu.edu.sg/lkcsb_research/5156
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