Statistical Arbitrage Strategy in Multi-Asset Market using Time Series Analysis

Abstract

The statistical arbitrage strategy is one of the most traditional investment strategies. Many theoretical and empirical studies have been conducted for a long time. Almost all of the statistical arbitrage strategies focus on the price difference (spread) between two similar assets in same asset class and exploit the mean reversion of spreads, i.e., pairs trading. In this study, we extend the strategy to multiple assets in the multi-asset market. Concretely, we derive a mean-reverting portfolio with time series model. Finally, we perform an empirical analysis in multi-asset market and show the effectiveness of our strategy.