Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/261467 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
LawFin Working Paper No. 37
Verlag: 
Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin), Frankfurt a. M.
Zusammenfassung: 
We provide the first comprehensive analysis of option information for pricing the cross-section of stock returns by jointly examining extensive sets of firm and option characteristics. Using portfolio sorts and high-dimensional methods, we show that certain option measures have significant predictive power, even after controlling for firm characteristics, earning a Fama-French three-factor alpha in excess of 20% per annum. Our analysis further reveals that the strongest option characteristics are associated with information about asset mispricing and future tail return realizations. Our findings are consistent with models of informed trading and limits to arbitrage.
Schlagwörter: 
Asset Pricing
Factor Models
High-dimensional Methods
Option Characteristics
JEL: 
C13
C14
G11
G12
G14
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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