About The Technical Notes

The theories behind bellavia.app

1 min read 0 comments
About The Technical Notes


The Bellavia Technical Notes are a companion to the main Insights blog.

Purpose

These notes serve three goals:

  1. Document the mathematics. We describe the analytical structure underlying the questions explored by the Bellavia app, from withdrawal strategies to portfolio survival analysis.

  2. Provide context for technical users. Advisors, researchers, and technically minded readers may want to understand the assumptions and mechanics behind the calculations.

  3. Situate Bellavia within the literature. Retirement planning draws on decades of research in finance, economics, and statistics. These notes clarify how Bellavia's approach relates to established methods.

Topics

Future notes will cover:

  • Worst-case optimization and its relationship to safe withdrawal rates
  • Historical path analysis and sequence-of-returns risk
  • Connections to structural finance and factor models
  • Bootstrapping and Monte Carlo methodology
  • Inflation modeling and real return calculations

A Note on Accessibility

Reading these notes is not required to use Bellavia. The calculator is designed to be useful without any background in quantitative finance.

The Technical Notes exist for those who want to look under the hood: to see the assumptions made explicit, understand the structural choices, and evaluate the analytical credibility of the approach.


Continue reading

Discussion (0)

No comments yet. Be the first to share your thoughts!

B

Bellavia Research

C. Paris, PhD, is a founding member of Bellavia and writes on markets, risk, and the psychology of decision-making.

C. Paris is a quantitative finance professional with many years of experience in derivatives, model risk, and financial analysis. He holds a PhD in Mathematics with research interests in probability and financial mathematics, and has worked at major global banks.

His career spans structured and pension products and quantitative risk analysis. He has led risk teams, developed financial models, and worked extensively with risk and compliance frameworks.