Published August 16, 2026
| Version v1.2.1–Public-Launch
Software
Open
traffictorch/productivity-bond-model: Productivity Bond Model
Description
Overview
This is the first public release of the complete simulation code for The Infinite Debt Problem.
What's Included
- Full Python implementation of the Monte Carlo simulation engine (10,000 paths, 10-year horizon)
- All five bond types: Conventional, Inflation-Linked, GDP-Linked, Productivity, and Hybrid
- Portfolio optimisation routines
- Sensitivity analysis scripts for θ_AI, α_N, coupon cap, and NPI volatility
- All simulation results from Appendix C (CSV format)
- Complete documentation and usage instructions
Reproducibility
To reproduce all results from Appendix C:
git clone https://github.com/traffictorch/productivity-bond-model.git
cd productivity-bond-model
pip install -r requirements.txt
python run_simulation.py --paths 10000 --years 10
Files
traffictorch/productivity-bond-model-v1.2.1–Public-Launch.zip
Files
(4.7 MB)
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md5:e0d96212a1d3d635bda3ad991d957f58
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Additional details
Related works
- Is supplement to
- Software: https://github.com/traffictorch/productivity-bond-model/tree/v1.2.1–Public-Launch (URL)
Dates
- Available
-
2026-08-12
Software
- Repository URL
- https://github.com/traffictorch/productivity-bond-model
- Programming language
- Python , HTML
- Development Status
- Active