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Research Collection Lee Kong Chian School Of Business

Return predictability

Economics

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Full-Text Articles in Business

Investor Sentiment And Paradigm Shifts In Equity Premium Forecasting, Liya Chu, Kai Li, Tony Xue-Zhong He, Jun Tu Apr 2022

Investor Sentiment And Paradigm Shifts In Equity Premium Forecasting, Liya Chu, Kai Li, Tony Xue-Zhong He, Jun Tu

Research Collection Lee Kong Chian School Of Business

This study investigates the impact of investor sentiment on excess equity return forecasting. A high (low) investor sentiment may weaken the connection between fundamental economic (behavioral-based non-fundamental) predictors and market returns. We find that although fundamental variables can be strong predictors when sentiment is low, they tend to lose their predictive power when investor sentiment is high. Non-fundamental predictors perform well during high-sentiment periods while their predictive ability deteriorates when investor sentiment is low. These paradigm shifts in equity return forecasting provide a key to understanding and resolving the lack of predictive power for both fundamental and non-fundamental variables debated …


Time-Series Momentum: Is It There?, Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou Mar 2020

Time-Series Momentum: Is It There?, Dashan Huang, Jiangyuan Li, Liyao Wang, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

Time-series momentum (TSM) refers to the predictability of the past 12-month return on the next one-month return, and is the focus of several recent influential studies. This paper shows, however, that asset-by-asset time-series regressions reveal little evidence of TSM, both in- and out-of-sample. While the t-statistic in a pooled regression appears large, it is not statistically reliable as it is less than the critical values of parametric and non-parametric bootstraps. From an investment perspective, the TSM strategy is profitable, but its performance is virtually the same as that of a similar strategy that is based on historical sample mean and …


The World Predictive Power Of U.S. Equity Market Skewness Risk, Jian Chen, Fuwei Jiang, Shuyu Xue, Jiaquan Yao Sep 2019

The World Predictive Power Of U.S. Equity Market Skewness Risk, Jian Chen, Fuwei Jiang, Shuyu Xue, Jiaquan Yao

Research Collection Lee Kong Chian School Of Business

This study investigates the cross-country impact of U.S. equity market skewness risk. We find that a large decrease in the U.S. market skewness significantly predicts higher future returns on international equity markets. The predictability remains significant after controlling for a set of U.S. and local forecasting variables. Furthermore, we find strong predictability in- an out-of-sample setting and the predictability delivers a large economic value. The U.S. market skewness also forecasts U.S. economic recessions and international market conditions, consistent with the international three-moment capital asset pricing model (three-moment CAPM) and the intertemporal capital asset pricing model (ICAPM).


Forecasting Stock Returns In Good And Bad Times: The Role Of Market States, Dashan Huang, Fuwei Jiang, Jun Tu, Guofu Zhou Jul 2017

Forecasting Stock Returns In Good And Bad Times: The Role Of Market States, Dashan Huang, Fuwei Jiang, Jun Tu, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

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 …


Can Us Economic Variables Predict Chinese Stock Market?, Jeremy Goh, Fuwei Jiang, Jun Tu, Yuchen Wang Nov 2012

Can Us Economic Variables Predict Chinese Stock Market?, Jeremy Goh, Fuwei Jiang, Jun Tu, Yuchen Wang

Research Collection Lee Kong Chian School Of Business

In the last few decades, we observed a significant increase in global economic activities and these activities may have an impact on both China's economy and stock market. Given the potential impact, we empirically examine whether US economic variables are leading indicators of the Chinese stock market. Prior to China joining the World Trade Organization (WTO) in the end of 2001, we find no statistical relationship between US economic variables and the Chinese stock market returns. However, we find US economic variables have statistically significant predictive power for periods after China's admission into the WTO. In addition, we show that …