XBRL adoption and expected crash risk

Yanan Zhang*, Yuyan Guan, Jeong-Bon Kim

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

37 Citations (Scopus)

Abstract

The U.S. Securities and Exchange Commission (SEC) mandated the adoption of eXtensible Business Reporting Language (XBRL) in 2009, with the aim of facilitating data exchange and reducing information processing costs. To shed light on the economic consequences of this important disclosure regulation, this study investigates whether and how XBRL mandate impacts investor expectations of future crash risk. Using the steepness of the option implied volatility smirk as a proxy for ex ante expectation of crash risk, we find that expected crash risk decreases after adoption of XBRL. Moreover, we document that the effect is more pronounced for firms with higher financial opacity, more volatile earnings, and greater analyst forecast dispersion. Further, our analysis generates evidence that the use of customized extension XBRL elements attenuates the effect of XBRL reporting on reducing expected crash risk. Our empirical results are robust to a variety of sensitivity checks. Overall, the findings indicate that XBRL reduces information processing costs and strengthens information transparency of capital markets, which in turn, reduces investor expectations of future crash risk.
Original languageEnglish
Pages (from-to)31-52
JournalJournal of Accounting and Public Policy
Volume38
Issue number1
Online published14 Feb 2019
DOIs
Publication statusPublished - Feb 2019

Research Keywords

  • Bad news hoarding
  • Expected crash risk
  • Information processing costs
  • XBRL

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