• Media type: E-Book
  • Title: Technical Indicators and Cross-Sectional Expected Returns
  • Contributor: Zeng, Hui [Author]; Marshall, Ben R. [Author]; Nguyen, Nhut H. [Author]; Visaltanachoti, Nuttawat [Author]
  • Published: [S.l.]: SSRN, [2022]
  • Extent: 1 Online-Ressource (33 p)
  • Language: English
  • DOI: 10.2139/ssrn.4085728
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  • Origination:
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  • Description: This study shows that 14 widely documented technical indicators explain cross-sectional stock expected returns. The technical indicators have lower estimation errors than the three-factor Fama-French model and the historical mean. The long-short portfolios based on the cross-sectional estimated returns generate substantial profits consistently across the entire period. The well-known cross-sectional expected return determinants, including momentum, size, book-to-market, investment, and profitability, do not explain the explanatory power of the technical indicators. Our findings suggest that the technical indicators play an important role in determining the variation in cross-sectional expected returns in addition to the five-factor model
  • Access State: Open Access