Do Option Characteristics Predict the Underlying Stock Returns in the Cross-Section?

Andreas Neuhierl, Xiaoxiao Tang, Rasmus T. Varneskov, Guofu Zhou

Research output: Working paperResearch

Abstract

We provide a comprehensive analysis of options-implied information for predicting the cross-section of stock returns. Based on large sets of firm and option characteristics and using traditional portfolio sorts and modern high-dimensional methods, we find that option information matters. However, in contrast to existing studies, there are only few option characteristics that have significant incremental predictive power after controlling for the large set of firm characteristics. Further analysis reveals that the strongest option characteristics are associated with asset mispricing, future tail return realizations and short-selling costs. Our findings are consistent with models of informed trading and limits to arbitrage.
Original languageEnglish
PublisherSSRN: Social Science Research Network
Number of pages54
DOIs
Publication statusPublished - 21 Mar 2021
SeriesS&P Global Market Intelligence Research Paper Series

Keywords

  • Asset pricing
  • Factor models
  • High-dimensional methods
  • Option-implied risk

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