Laboratory, Notebooks & Workbooks

The Laboratory webapp

Every chapter of the book ends with a Webapp Laboratory section specifying a module: purpose, inputs, outputs, model assumptions, numerical method, suggested experiments (E1–E4), and validation checks. The laboratory implements those sections one-for-one, with the book’s seeds.

Open the Laboratory →

Per-chapter downloads

All three companions run the same Python engine — identical seeds, identical numbers.

Chapter	Notebook	Excel workbook
1. Taxonomy · LDCF Sandbox	ipynb	xlsx
2. Stochastic Process & Cash-Flow Simulator	ipynb	xlsx
3. State Prices & Pricing Bounds	ipynb	xlsx
4. Stochastic DCF Engine	ipynb	xlsx
5. Liquidity Shock Simulator	ipynb	xlsx
6. NAV Unsmoothing & Filtering	ipynb	xlsx
7. Indifference Pricing Engine	ipynb	xlsx
8. Fund Cash-Flow Engine	ipynb	xlsx
9. LBO Valuation Engine	ipynb	xlsx
10. Venture Portfolio & Security Engine	ipynb	xlsx
11. Private Credit Engine	ipynb	xlsx
12. Real Asset Cash-Flow Engine	ipynb	xlsx
13. Exposure Switchboard	ipynb	xlsx
14. Optimal Exit Solver	ipynb	xlsx
15. Volterra & Signature Engines	ipynb	xlsx
16. Malliavin Sensitivity Engine	ipynb	xlsx
17. Portfolio Construction Suite	ipynb	xlsx

Reproducibility

Seeds follow the book convention 2026NNNN and are printed in every output. The engine source lives in the mfaa-lab repository; the laboratory’s validation endpoint (/api/chNN/validation) re-runs each chapter’s checks on demand.