Reference health

Pairs Trading via Unsupervised Learning

https://doi.org/10.2139/ssrn.3835692
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35/35 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 35 checked references that resolve
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Pairs trading with partial cointegration
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Quantitative spread trading on crude oil and refined products markets
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Does Simple Pairs Trading Still Work?
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Clustering of financial time series with application to index and enhanced index tracking portfolio
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Pairs trading
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Co-Integration and Error Correction: Representation, Estimation, and Testing
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Multifactor Explanations of Asset Pricing Anomalies
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A five-factor asset pricing model
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News Sensitive Stock Trend Prediction
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Pairs Trading: Performance of a Relative-Value Arbitrage Rule
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Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity
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The Characteristics that Provide Independent Information about Average U.S. Monthly Stock Returns
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Large data sets and machine learning: Applications to statistical arbitrage
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Pairs trading and selection methods: is cointegration superior?
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Hierarchical Clustering Schemes
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Optimizing the Pairs‐Trading Strategy Using Deep Reinforcement Learning with Trading and Stop‐Loss Boundaries
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STATISTICAL ARBITRAGE PAIRS TRADING STRATEGIES: REVIEW AND OUTLOOK
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Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&amp;P 500
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Robust performance hypothesis testing with the Sharpe ratio
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Enhancing Time-Series Momentum Strategies Using Deep Neural Networks
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The 9 references without a DOI — listed, not checked
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no DOI — not checkedA density-based algorithm for discovering clusters in large spatial databases with noise
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no DOI — not checkedStock price prediction using reinforcement learning
no DOI — not checkedSome methods for classification and analysis of multivariate observations
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