Relevance
5/10
The paper is primarily an academic diagnostic tool for factor model evaluation rather than a direct trading strategy. However, it is relevant to quantitative trading in several ways: (1) it helps practitioners assess whether a chosen factor model adequately prices assets along the size dimension, which affects portfolio construction; (2) the finding that q5's daily distortion attenuates under lead-lag correction while FF/Carhart distortions emerge monthly informs frequency-dependent model selection; (3) the factor-coordinate scan showing cap-axis magnitude is distinct from Sharpe gain helps in factor selection for multi-factor strategies; (4) understanding where pricing errors localize along the cap-rank axis can inform risk management of factor exposures. The relevance is moderate as it is a model evaluation tool rather than a direct alpha-generating methodology.
Implementation Complexity
7/10
Implementation requires: (1) constructing an investable CRSP universe with hysteresis-based screening rules; (2) building whole-stock bridge returns on a 201-point grid with buy-and-hold accounting and dividend reinvestment; (3) joint OLS estimation across the grid; (4) multivariate Newey-West long-run covariance estimation; (5) HAC-Gaussian-process simulation with 50,000 antithetic draws for nonlinear functional p-values; (6) residual-block bootstrap calibration with six-month circular blocks; (7) lead-lag correction across multiple window sizes; (8) rank-area portfolio construction and boundary-quantization auditing. The computational infrastructure for the 201-point grid with daily data over 58 years is substantial, though the matrix algebra is standard. The main complexity lies in careful portfolio accounting and the multi-layered inference procedure.
Reproducibility
4/5
The paper uses publicly available data sources (CRSP, Fama-French Data Library, Global-q.org, Global Factor Data/Jensen et al. 2023). The methodology is fully specified with explicit formulas for bridge construction, grid implementation, HAC-GP inference, and residual-block calibration. Annual Jul-Jun formation, buy-and-hold accounting, and all parameter choices (grid of 201 points, 50,000 Gaussian draws, 21-day/6-month HAC lags) are clearly stated. However, no code repository is provided, and the full implementation details of the CRSP investable universe construction with hysteresis rules would require careful replication.