Disagreement in Market Index Options

Author:

Salome Guilherme1,Tauchen George2ORCID,Li Jia2

Affiliation:

1. Eli Lilly and Company , Indianapolis, IN, USA

2. Department of Economics, Duke University, Durham, NC , USA

Abstract

Abstract We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the case of no disagreement among investors. In contrast, the elasticity estimates decrease with increases in the absolute value of moneyness, indicating investors have a higher disagreement about rare events. Likewise, the elasticity decreases with increases in tenor, implying higher investors’ disagreement about more distant events.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics,Finance

Reference44 articles.

1. Great Realisations;Andersen;Risk,2000

2. Differences in Options Investors’ Expectations and the Cross-Section of Stock Returns;Andreou;Journal of Banking & Finance,2018

3. Belief Dispersion in the Stock Market;Atmaz;The Journal of Finance,2018

4. Investor Sentiment and the Cross-Section of Stock Returns;Baker;The Journal of Finance,2006

5. Investor Sentiment in the Stock Market;Baker;Journal of Economic Perspectives,2007

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1. Option pricing with overnight and intraday volatility;Journal of Futures Markets;2023-07-10

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