• Media type: E-Book
  • Title: A counterfactual valuation of the stock index as a predictor of crashes
  • Contributor: Roberts, Tom [Author]
  • Published: [Ottawa]: Bank of Canada, September 2017
  • Published in: Bank of Canada: Staff working paper ; 201703800
  • Extent: 1 Online-Ressource (circa 63 Seiten); Illustrationen
  • Language: English
  • Identifier:
  • Keywords: Asset pricing ; Financial stability ; Graue Literatur
  • Origination:
  • Footnote: Zusammenfassung in französischer Sprache
  • Description: Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with smoothed earnings, to first construct a counterfactual valuation benchmark. The price-versus-benchmark residual shows an improved, and economically meaningful, logit estimation of the likelihood of a crash over alternatives such as the dividend yield and price momentum. Rolling out-of-sample estimates highlight the challenges in this task. Nevertheless, the overall results support the common popular belief that a higher stock market valuation in relation to fundamentals entails a higher risk of a crash.
  • Access State: Open Access