• Media type: E-Book
  • Title: How to Dominate the Historical Average?
  • Contributor: Li, Kai [Author]; Li, Yingying [Author]; Yu, Jialin [Author]
  • Published: [S.l.]: SSRN, 2022
  • Extent: 1 Online-Ressource (53 p)
  • Language: English
  • DOI: 10.2139/ssrn.4245306
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 12, 2022 erstellt
  • Description: We provide a new methodology to forecast the equity premium. We show, theoretically and empirically, that our forecast first-order stochastically dominates the historical average and incurs a better mean squared forecast error than the historical average. Our forecast combines the low variance advantage of the historical average with the bias reduction afforded by a predictor, thus outperforming the historical average. We distinguish the existence from the magnitude of return predictability. Using our methodology, we establish the existence of predictability for valuation ratios based on dividends or earnings, consumption-wealth ratio, investment, or bond returns
  • Access State: Open Access