Artikel
Idiosyncratic volatility, option-based measures of informed trading, and investor attention
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.
- Sprache
-
Englisch
- Erschienen in
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Journal: Review of Derivatives Research ; ISSN: 1573-7144 ; Volume: 24 ; Year: 2021 ; Issue: 3 ; Pages: 197-220 ; New York, NY: Springer US
- Klassifikation
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Wirtschaft
Asset Pricing; Trading Volume; Bond Interest Rates
Information and Market Efficiency; Event Studies; Insider Trading
Behavioral Finance: General‡
- Thema
-
Idiosyncratic volatility puzzle
Option-implied volatility spreads
Investor attention
- Ereignis
-
Geistige Schöpfung
- (wer)
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Mohrschladt, Hannes
Schneider, Judith C.
- Ereignis
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Veröffentlichung
- (wer)
-
Springer US
- (wo)
-
New York, NY
- (wann)
-
2021
- DOI
-
doi:10.1007/s11147-021-09175-7
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Mohrschladt, Hannes
- Schneider, Judith C.
- Springer US
Entstanden
- 2021
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