A Descriptive Study of High-Frequency Trade and Quote Option Data*

Stealth Trading in Options Markets

Torben Andersen, Ilya Archakov, Leon Grund, Nikolaus Hautsch, Yifan Li, Sergey Nasekin, Ingmar Nolte, Manh Cuong Pham, Stephen Taylor and Viktor Todorov

Journal of Financial Econometrics, 2021, vol. 19, issue 1, 128-177

Abstract: This paper provides a guide to high-frequency option trade and quote data disseminated by the Options Price Reporting Authority (OPRA). We present a comprehensive overview of the U.S. option market, including details on market regulation and the trading processes for all 16 constituent option exchanges. We review the existing literature that utilizes high-frequency options data, summarizes the general structure of the OPRA dataset, and presents a thorough empirical description of the observed option trades and quotes for a selected sample of underlying assets that contains more than 25 billion records. We outline several types of irregular observations and provide recommendations for data filtering and cleaning. Finally, we illustrate the usefulness of the high-frequency option data with two empirical applications: option-implied variance estimation and risk-neutral density estimation. Both applications highlight the rich information content of the high-frequency OPRA data.

Keywords: high-frequency data; market microstructure; options (search for similar items in EconPapers)
JEL-codes: C55 G10 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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