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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Hannes Mohrschladt
  • Judith C. Schneider

Externe Organisationen

  • Westfälische Wilhelms-Universität Münster (WWU)
  • Leuphana Universität Lüneburg
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)197-220
Seitenumfang24
FachzeitschriftReview of derivatives research
Jahrgang24
Ausgabenummer3
Frühes Online-Datum28 Jan. 2021
PublikationsstatusVeröffentlicht - Okt. 2021
Extern publiziertJa

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.

ASJC Scopus Sachgebiete

Zitieren

Idiosyncratic volatility, option-based measures of informed trading, and investor attention. / Mohrschladt, Hannes; Schneider, Judith C.
in: Review of derivatives research, Jahrgang 24, Nr. 3, 10.2021, S. 197-220.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Mohrschladt H, Schneider JC. Idiosyncratic volatility, option-based measures of informed trading, and investor attention. Review of derivatives research. 2021 Okt;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 ; Jahrgang 24, Nr. 3. S. 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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AU - Mohrschladt, Hannes

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N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. Financial support from the German Research Foundation (DFG grant number 316058991) is gratefully acknowledged. Publisher Copyright: © 2021, The Author(s).

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