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End-to-End Policy Learning of a Statistical Arbitrage Autoencoder Architecture

Fabian Krause, Jan-Peter Calliess·2024

A 2024 paper by Krause and Calliess on pairs trading and statistical arbitrage in equities, using a feedforward neural network: the abstract mentions excess returns and leaves out a benchmark, an out-of-sample test, transaction costs, multiple testing and the size of the universe.

“This integration outputs portfolio allocations directly and is end-to-end trainable by backpropagation of the risk-adjusted returns of the neural policy.”

AssetEquities
StrategyPairs tradingshort-term reversal
TechniqueFeedforward network
GeographyUS

Also stated: Excess return

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

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The paper's neighbourhoodPairs trading and statistical arbitrage by year
■ equities■ crypto■ multi-asset■ commodities■ other assets20002005201065201554202077This paper2024112026■ equities■ crypto■ multi-asset■ commodities■ other assets2000200520106520155420207This paper2024
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
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