Pairs trading of nearly identical twin stocks: The case of GOOGL versus GOOG

South African Journal of Business Management

 
 
Field Value
 
Title Pairs trading of nearly identical twin stocks: The case of GOOGL versus GOOG
 
Creator Yang, Che-Ming Chen, An-Sing
 
Subject Economic;Finance twin stocks; synthetic portfolio; Ornstein-Uhlenbeck process; Pairs trading
Description Purpose: As computer technology and statistical methods advance, statistical arbitrage research focuses on developing more sophisticated trading methods. Twin stocks are stock pairs such as GOOGL and GOOG that trade as different stocks but are identical except one has voting rights. The two stocks should be identical, and standard arbitrage trading using these twin stocks should produce little if any profits. The purpose of this study is to test whether this hypothesis is true and whether the novel statistical arbitrage methods can be used on twin stocks to produce profits.Design/methodology/approach: This article uses the Ornstein-Uhlenbeck process method to calculate the entry and exit timing and expected return under different transaction costs. We also use the factor model to test the impact of long- and short-term factors on the expected returns obtained by our statistical arbitrage trades.Findings/results: Our test results show evidence of positive arbitrage profits, indicating that the hypothesis concerning twin stocks is not true. In addition, we find that the arbitrage profits are not affected by short-term risk factors.Practical implications: Our research shows that profitable statistical arbitrage can be applied to asset pairs other than an asset and its derivative. Applying statistical arbitrage to twin stocks may be a good alternative for investors interested in arbitrage trading.Originality/value: This is the first study that applies statistical arbitrage to twin stocks. We show investors can profit when applying statistical arbitrage to even highly correlated assets such as twin stocks still obtain excess returns.
 
Publisher AOSIS
 
Contributor
Date 2025-09-02
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajbm.v56i1.4850
 
Source South African Journal of Business Management; Vol 56, No 1 (2025); 11 pages 2078-5976 2078-5585
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajbm.org/index.php/sajbm/article/view/4850/3419 https://sajbm.org/index.php/sajbm/article/view/4850/3420 https://sajbm.org/index.php/sajbm/article/view/4850/3421 https://sajbm.org/index.php/sajbm/article/view/4850/3422
 
Coverage Asian; Taiwan — stock price; arbitrage
Rights Copyright (c) 2025 Che-Ming Yang, An-Sing Chen https://creativecommons.org/licenses/by/4.0
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