performance-attribution

You can break down portfolio excess returns into allocation and selection contributions by running Brinson attribution analysis, which compares your sector weights and stock picks against an appropriate benchmark across single or multi-period horizons.

Brinson attribution for multi-period evaluation links single-period excess returns to show how continuous sector weights and stock selection decisions contributed to overall benchmark outperformance over extended time horizons.

Yes, you can evaluate market timing ability by applying Treynor-Mazuy or Henriksson-Manton timing models, which generate signals to determine if your strategy successfully timed market movements relative to systematic risk factors.

The best way to analyze factor exposures and alpha-beta decompositions is through multi-factor regression analysis, which identifies systematic drivers and separates alpha from beta across your portfolio's investment strategies.

Yes, this performance attribution method supports risk-adjusted benchmark comparison reporting by calculating Sharpe, Sortino, and Information ratios to highlight style drift and transparent risk-adjusted performance for investor communications.

You can run performance attribution on a China A-share portfolio versus the CSI 300 by instructing your agent to process your latest backtest metrics, delivering Brinson attributions and regression-based factor exposures for comparison.