• Medientyp: E-Book
  • Titel: Implications of Survival and Data Trimming for Tests of Market Efficiency
  • Beteiligte: Kothari, S.P. [Verfasser:in]; Sabino, Jowell S. [Sonstige Person, Familie und Körperschaft]; Zach, Tzachi [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2004]
  • Umfang: 1 Online-Ressource
  • Sprache: Nicht zu entscheiden
  • Entstehung:
  • Anmerkungen: In: Journal of Accounting and Economics, Forthcoming
  • Beschreibung: Predictability of future returns using ex ante information (e.g., analyst forecasts) violates market efficiency. We show that predictability can be due to non-random data deletion, especially in skewed distributions of long-horizon security returns. Passive deletion arises because some firms do not survive the post-event long horizon. Active deletion arises when extreme observations are truncated by the researcher. Simulations demonstrate that data deletion induces a negative relation between future returns and ex ante information variables. Analysis of actual data suggests a 30-50% bias in the estimated relations. We recommend specific robustness checks when testing return predictability using ex ante information
  • Zugangsstatus: Freier Zugang