performance-attribution

Portfolio return decomposition using the Brinson attribution model breaks down performance into allocation, selection, and interaction effects. This isolates how sector allocation and stock selection individually contribute to benchmark excess returns.

Factor attribution explains investment performance by decomposing returns through alpha, beta, and multi-factor models. It identifies which specific factor exposures drove portfolio returns relative to expected risk-adjusted metrics.

Yes, market timing evaluation assesses timing ability using both Treynor-Mazuy and Henriksson-Merton models. These frameworks measure whether a strategy's returns systematically correlate with market directional movements.

Benchmark comparison evaluates strategy performance against various benchmarks using risk-adjusted metrics. This framework contextualizes returns by accounting for volatility and systematic risk exposure differences.

Yes, statistical and financial analysis tools are required to run multi-factor attribution models. The advanced decomposition workflows depend on quantitative analysis tools to accurately calculate risk exposures and alpha generation.

The best way to explain sector allocation and stock selection contributions is applying attribution analysis frameworks. This separates the impact of asset weighting decisions from individual security picking on overall returns.