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Founded by three Carnegie Mellon University faculty members
Institute of Algorithmic Tradingand Applied Computational Finance

Specialist track, course code SA

Statistical Arbitrage and Medium-Frequency Trading

Mean reversion trading over hours to weeks: pairs, baskets, cointegration and the risk of spreads that stop converging.

Medium-frequency trading holds positions for hours to weeks. It is fast enough that transaction costs dominate the result and slow enough that risk accumulates overnight. Statistical arbitrage is its classic form of mean reversion trading: buy what is cheap relative to something similar, sell what is dear, and wait for the gap to close.

What does the statistical arbitrage track cover?

Statistical Arbitrage, Pairs Trading and Cointegration is one course that covers the whole method: residual returns, factor-neutral portfolios and signal decay; pair selection, spread construction, entry and exit rules and the half-life of mean reversion; and the Engle-Granger and Johansen procedures, with what to do when a relationship breaks.

Where does this track lead?

To the Certificate in Statistical Arbitrage, which adds time series analysis, backtesting validation and execution costs to the spread-trading course and ends in a capstone strategy tested out of sample.

Practitioner courses in this track

Lab-based courses. You build, test and cost real strategies and systems on market data.

Credentials that use this track

Questions applicants ask

What is the difference between pairs trading and statistical arbitrage?

Pairs trading bets on the spread between two related securities. Statistical arbitrage generalizes the idea to many securities at once, usually with factor models and portfolio-level risk control.

Does statistical arbitrage still work?

Simple pairs on liquid stocks have been heavily traded since the 1990s and their returns have fallen. The courses teach the method, how crowding erodes it, and how to test whether a spread still pays after costs.