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#

block-bootstrap

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Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.

  • Updated May 17, 2026
  • Python

R package with a set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) cross-validation method and the Politis and White (2004) Spectral Density Plug-in method.

  • Updated Mar 8, 2025
  • R

A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.

  • Updated Jul 8, 2026
  • MATLAB

Monte Carlo study of dollar-cost-averaging strategies, 1980–2026. Ranks 56 portfolios (static, age-glide, momentum/signal) by median final wealth vs. terminal drawdown pain via block-bootstrap simulation in taxable and tax-free accounts. Full write-up in wealth_report.pdf.

  • Updated Jul 1, 2026
  • Python

Non-parametric portfolio risk simulator using circular block bootstrap (Politis-Romano). Simulates outcome distributions, VaR/CVaR, drawdown, DCA/SIP -- with walk-forward calibration and 22 QA invariant tests.

  • Updated Jul 14, 2026
  • HTML

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