International High-Frequency Arbitrage for Cross-Listed Stocks
58 Pages Posted: 26 Mar 2022
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International High-Frequency Arbitrage for Cross-Listed Stocks
Abstract
We explore arbitrage activities for cross-listed stocks and develop a methodology to study the effect of information latency in high-frequency trading. The strategy is a hybrid between triangular arbitrage and pairs trading. The strategy can be generalized to multiple cross-listed stocks environments. Market frictions such as trade costs, inventory control, and arbitrage risks are considered. We test the strategy with cross-listed stocks involving three exchanges in Canada and the United States in 2019. The annual net profit with the limit order strategy is around US$6 million. International latency arbitrage with market orders is not profitable with our data.
Keywords: Latency arbitrage, High-Frequency Trading, cross-listed stocks, mean-reverting arbitrage, international arbitrage, supervised machine learning.
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