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Online Learning Algorithms for Statistical Arbitrage (1811.00200v1)
Published 1 Nov 2018 in cs.LG and stat.ML
Abstract: Statistical arbitrage is a class of financial trading strategies using mean reversion models. The corresponding techniques rely on a number of assumptions which may not hold for general non-stationary stochastic processes. This paper presents an alternative technique for statistical arbitrage based on online learning which does not require such assumptions and which benefits from strong learning guarantees.
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