Equity return predictability, its determinants, and profitable trading strategies. (8th July 2020)

• Record Type: Journal Article
• Authors: Rahman, Md Lutfur; Khan, Mahbub; Vigne, Samuel A.; Uddin, Gazi Salah
• Is Part Of: Journal of forecasting. Volume 40:Number 1(2021)
• Page Start: 162
• Page End: 186
• Publication Date: 2020-07-08
• Subjects: Extreme bounds analysis -- Fifty equity markets -- Return predictability -- Trading strategies; Forecasting -- Periodicals; Forecasting -- Mathematical models -- Periodicals; 003.2
• DOI: 10.1002/for.2712
• Languages: English
• ISSNs: 0277-6693

Abstract

Abstract: This paper explains cross‐market variations in the degree of return predictability using the extreme bounds analysis (EBA). The EBA addresses model uncertainty in identifying robust determinant(s) of cross‐sectional return predictability. Additionally, the paper develops two profitable trading strategies based on return predictability evidence. The result reveals that among the 13 determinants of the cross‐sectional variation of return predictability, only value of stock traded (a measure of liquidity) is found to have robust explanatory power by Leamer's (1985) EBA. However, Sala‐i‐Martin's (1997) EBA reports that value of stock traded, gross domestic product (GDP) per capita, level of information and communication technology (ICT) development, governance quality, and corruption perception are robust determinants. We further find that a strategy of buying (selling) aggregate market portfolios of the countries with the highest positive (negative) return predictability statistic in the past 24 months generates statistically significant positive returns in the subsequent 3 to 12 months. In the individual country level, a trading rule of buying (selling) the respective country's aggregate market portfolio, when the return predictability statistic turns out positive (negative), outperforms the conventional buy‐and‐hold strategy for many countries.