Pairs trading strategies are quantitative, market-neutral approaches that exploit temporary divergences in the prices of two highly correlated assets. The strategy involves simultaneously taking a long position in the underperforming asset and a short position in the outperforming asset. The objective is to profit when the prices converge back to their historical mean relationship.
Correlation
The success of pairs trading relies heavily on the stability of the correlation between the two assets. In cryptocurrency markets, pairs trading often involves highly correlated assets like Bitcoin and Ethereum, or different tokens within the same ecosystem. Quantitative models are used to identify cointegration relationships and determine the optimal entry and exit points for the trade.
Arbitrage
While often described as statistical arbitrage, pairs trading differs from pure arbitrage because it carries market risk. The assumption that prices will revert to the mean is not guaranteed, and the correlation between assets can break down, leading to significant losses. Derivatives, such as futures and options, are frequently used in pairs trading to manage leverage and fine-tune risk exposure.
