<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistical Arbitrage | Saeed Mohseni-Sehdeh</title><link>https://saeedmohseni.netlify.app/tags/statistical-arbitrage/</link><atom:link href="https://saeedmohseni.netlify.app/tags/statistical-arbitrage/index.xml" rel="self" type="application/rss+xml"/><description>Statistical Arbitrage</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://saeedmohseni.netlify.app/media/icon_hu7729264130191091259.png</url><title>Statistical Arbitrage</title><link>https://saeedmohseni.netlify.app/tags/statistical-arbitrage/</link></image><item><title>Statistical Arbitrage via Cointegration-Based Pairs Trading</title><link>https://saeedmohseni.netlify.app/project/statistical-arbitrage-via-cointegration-based-pairs-trading/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://saeedmohseni.netlify.app/project/statistical-arbitrage-via-cointegration-based-pairs-trading/</guid><description>&lt;p>A rigorous pairs-trading pipeline that asks whether cointegration-based statistical arbitrage survives out-of-sample testing once costs and selection bias are accounted for. Pairs are screened with Engle-Granger cointegration tests under Benjamini-Hochberg false-discovery-rate correction, traded on spread z-score mean-reversion signals using both static and Kalman-filter dynamic hedge ratios, and evaluated with walk-forward backtesting, bootstrap confidence intervals, Probabilistic and Deflated Sharpe Ratios.&lt;/p></description></item></channel></rss>