Idiosyncratic volatility, option-based measures of informed trading, and investor attention

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Hannes Mohrschladt
  • Judith C. Schneider

External Research Organisations

  • University of Münster
  • Leuphana University Lüneburg
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Details

Original languageEnglish
Pages (from-to)197-220
Number of pages24
JournalReview of derivatives research
Volume24
Issue number3
Early online date28 Jan 2021
Publication statusPublished - Oct 2021
Externally publishedYes

Abstract

We establish a direct link between sophisticated investors in the option market, private stock market investors, and the idiosyncratic volatility (IVol) puzzle. To do so, we employ three option-based volatility spreads and attention data from Google Trends. In line with the IVol puzzle, the volatility spreads indicate that sophisticated investors indeed consider high-IVol stocks as being overvalued. Moreover, the option measures help to distinguish overpriced from fairly priced high-IVol stocks. Thus, these measures are able to predict the IVol puzzle’s magnitude in the cross-section of stock returns. Further, we link the origin of the IVol puzzle to the trading activity of irrational private investors as the return predictability only exists among stocks that receive a high level of private investor attention. Overall, our joint examination of option and stock markets sheds light on the behavior of different investor groups and their contribution to the IVol puzzle. Thereby, our analyses support the intuitive idea that noise trading leads to mispricing, which is identified by sophisticated investors and exploited in the option market.

Keywords

    Idiosyncratic volatility puzzle, Investor attention, Option-implied volatility spreads

ASJC Scopus subject areas

Cite this

Idiosyncratic volatility, option-based measures of informed trading, and investor attention. / Mohrschladt, Hannes; Schneider, Judith C.
In: Review of derivatives research, Vol. 24, No. 3, 10.2021, p. 197-220.

Research output: Contribution to journalArticleResearchpeer review

Mohrschladt H, Schneider JC. Idiosyncratic volatility, option-based measures of informed trading, and investor attention. Review of derivatives research. 2021 Oct;24(3):197-220. Epub 2021 Jan 28. doi: 10.1007/s11147-021-09175-7
Mohrschladt, Hannes ; Schneider, Judith C. / Idiosyncratic volatility, option-based measures of informed trading, and investor attention. In: Review of derivatives research. 2021 ; Vol. 24, No. 3. pp. 197-220.
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abstract = "We establish a direct link between sophisticated investors in the option market, private stock market investors, and the idiosyncratic volatility (IVol) puzzle. To do so, we employ three option-based volatility spreads and attention data from Google Trends. In line with the IVol puzzle, the volatility spreads indicate that sophisticated investors indeed consider high-IVol stocks as being overvalued. Moreover, the option measures help to distinguish overpriced from fairly priced high-IVol stocks. Thus, these measures are able to predict the IVol puzzle{\textquoteright}s magnitude in the cross-section of stock returns. Further, we link the origin of the IVol puzzle to the trading activity of irrational private investors as the return predictability only exists among stocks that receive a high level of private investor attention. Overall, our joint examination of option and stock markets sheds light on the behavior of different investor groups and their contribution to the IVol puzzle. Thereby, our analyses support the intuitive idea that noise trading leads to mispricing, which is identified by sophisticated investors and exploited in the option market.",
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