Statistical Arbitrage in Oil Markets
Mean reversion and momentum; pairs and spread models; backtesting and risk limits
Statistical Arbitrage in Oil Markets
Executive Summary
Statistical arbitrage is distinct from fundamental trading. A fundamental trader asks whether oil will rise because OPEC cuts production; a statistical arbitrageur asks whether historical price relationships suggest a spread is mispriced and whether mean reversion or momentum can be exploited. Stat arb relies on quantitative models—historical patterns, correlations, and statistical relationships—to find opportunities that are often small in unit terms (e.g. $0.05–0.50/barrel) but, executed at scale across many positions, can produce consistent returns. This module covers core ideas, model building and backtesting, risk management, and practical limits of stat arb in oil markets. For practitioners and consultants, it supports systematic strategies and risk limits.
Learning Objectives
By the end of this module you will be able to understand statistical arbitrage principles and identify mispricings using quantitative models, build mean-reversion and momentum trading models for oil markets, backtest trading strategies and evaluate performance metrics (Sharpe ratio, maximum drawdown), manage portfolio risk in multi-position statistical arbitrage strategies, and understand the limitations of statistical models and regime changes in oil markets.