Mean Reversion and Statistical Arbitrage › Key Parameters

Michael BrenndoerferDecember 27, 20251 min read
Quantitative FinanceAll chapters
Part 11 of 15Quantitative Trading Strategies
Chapter 60Mean Reversion and Statistical Arbitrage › Key Parameters
Reading section 7 of 12 · Key Parameters · 1 minSection 7 of 12 · 1 min

Book contents

Section 7 of 12 · 1 min read

Mean Reversion and Statistical Arbitrage › Key ParametersOne section · Sections in this chapter7 / 12 ↓
Reading tools Definitions & inline links

Choose your expertise level to adjust how many terms are explained. Beginners see more tooltips, experts see fewer to maintain reading flow. Hover over underlined terms for instant definitions.

Article links

Make inline references clickable

The key parameters for statistical arbitrage portfolios are:

  • Number of Factors (K): The number of principal components to remove. This determines the granularity of the factor neutrality.
  • Lookback Window: The period used to estimate the factor model (PCA) and residual statistics.
  • Rebalance Frequency: How often portfolio weights are recalculated. More frequent rebalancing captures faster signals but increases costs.
  • Gross Exposure: The total value of long and short positions, typically targeted to a specific leverage level.