Essays on information in options markets

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Abstract/Contents

Abstract
In the first chapter, my coauthor and I examine the information content of option and equity volumes when trade direction is unobserved. In a multimarket asymmetric information model, equity short-sale costs result in a negative relation between relative option volume and future firm value. In our empirical tests, firms in the lowest decile of the option to stock volume ratio (O/S) outperform the highest decile by 0.34% per week (19.3% annualized). Our model and empirics both indicate that O/S is a stronger signal when short-sale costs are high or option leverage is low. O/S also predicts future firm-specific earnings news, consistent with O/S reflecting private information. In the second chapter, I show that in many asset pricing models, the equity market's expected return is a time-invariant linear function of its conditional variance, which can be estimated from options markets. However, I show that when the relation between conditional means and variances is state-dependent, an observer requires the combined information in multiple variance horizons to distinguish among the states and thereby reveal the equity risk premium. Empirically, I show that while the VIX by itself has little predictive power for future S& P 500 returns, the VIX term structure predicts next-quarter S& P 500 returns with a 5.2% adjusted R-squared.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English

Creators/Contributors

Associated with Johnson, Travis Lake, Mr
Associated with Stanford University, Graduate School of Business.
Primary advisor Admati, Anat R
Thesis advisor Admati, Anat R
Thesis advisor Martin, Ian
Thesis advisor Nagel, Stefan, 1973-
Thesis advisor Pfleiderer, Paul
Advisor Martin, Ian
Advisor Nagel, Stefan, 1973-
Advisor Pfleiderer, Paul

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Travis L. Johnson.
Note Submitted to the Graduate School of Business.
Thesis Thesis (Ph.D.)--Stanford University, 2012.
Location electronic resource

Access conditions

Copyright
© 2012 by Travis Lake Johnson
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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