Synthetic Long Stock and Option Trading: Evidence from Stock Splits

53 Pages Posted: 9 Jun 2019 Last revised: 2 Feb 2024

See all articles by Yifan Liu

Yifan Liu

Texas State University

Louis R. Piccotti

Oklahoma State University - Stillwater - Spears School of Business

Date Written: July 23, 2019

Abstract

Current literature considers information and opinion dispersion the two primary driving forces of option trading. We theoretically and empirically investigate whether synthetic long stock drives option trading. Our synthetic long stock model predicts that stock price is positively associated with option trading. Moreover, stock (option) trading cost positively (negatively) relates to this association. We design a stock split based event study to test these predictions. We find that option trading significantly declines after stock splits due to the stock price decline caused by the stock splits. Further, the decline in option trading after stock splits positively depends on stock split factor and stock trading cost but negatively depends on option trading cost. These findings support our model and imply that capital-constrained traders’ use of synthetic long stocks contributes to option trading.

Keywords: Option trading, Synthetic long stock, Stock split

JEL Classification: G11, G12

Suggested Citation

Liu, Yifan and Piccotti, Louis R., Synthetic Long Stock and Option Trading: Evidence from Stock Splits (July 23, 2019). Available at SSRN: https://ssrn.com/abstract=3392421 or http://dx.doi.org/10.2139/ssrn.3392421

Yifan Liu (Contact Author)

Texas State University ( email )

Texas State University
601 University Dr
San Marcos, TX 78666
United States

Louis R. Piccotti

Oklahoma State University - Stillwater - Spears School of Business ( email )

460 Business
Stillwater, OK 74078-0555
United States

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