Public news arrival and the idiosyncratic volatility puzzle

Yanlin Shi*, Wai Man Liu, Kin Yip Ho

*Corresponding author for this work

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This paper analyzes the effects of news and its sentiment on the idiosyncratic volatility (IVOL) - expected return relation. We postulate that the perceived negative IVOL-expected return relation could be the artifact of the confounding effect of public news arrivals. Using the stock return data from the Center for Research in Security Prices (CRSP) database and the news database from the RavenPack News Analytics over the period from 2000 to 2011, we show that the strength of the positive relation is reduced systematically by 50% after accounting for the arrivals of good and bad news releases, which are defined by their sentiment scores. This finding is robust to numerous model specifications, and the inclusion of firm-level characteristics, liquidity risk and information risk. When we restrict the firm-specific news to value-relevant news, the positive relation disappears. We conclude that that the public arrivals of firm-specific news play a significant role in explaining the IVOL puzzle.

Original languageEnglish
Pages (from-to)159-172
Number of pages14
JournalJournal of Empirical Finance
Volume37
DOIs
Publication statusPublished - Jun 2016
Externally publishedYes

Keywords

  • idiosyncratic volatility
  • cross-sectional returns
  • public information arrival
  • news sentiment

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