About TheFinSense
Math beats intuition. Every time.
TheFinSense is a math-driven personal finance site built on one principle: every claim traces back to a specific formula, a specific data source, and a specific date. No opinions without evidence. No hype without math.
Every article starts with a real question investors actually ask, then answers it with primary data — SEC filings, Federal Reserve numbers, IRS publications, peer-reviewed research, and historical market returns. If a number appears on this site, it links back to where it came from. No exceptions.
To date, TheFinSense has published 31+ original analyses covering tax-advantaged accounts, brokerage fee structures, and compound growth modeling. Every projection is Python-verified with ±$10 tolerance. See full calculation methodology.
About the author
Lead Quant Analyst and Founder, TheFinSense
I’m Danny Hwang — the Lead Quant Analyst and Founder of TheFinSense.
I studied Statistics at Virginia Tech (B.Com), where I built my foundation in statistical modeling and probability theory. That academic training turned into an obsession with one question: how do markets actually behave when you strip away the noise and just follow the math?
Every article on this site is built on primary sources — SEC filings, Federal Reserve data, IRS publications, academic research from NBER and SSRN, and industry reports from Vanguard, Morningstar, and J.P. Morgan. If a number appears in an article, it links back to where it came from. No exceptions.
My specialization covers tax-advantaged retirement accounts (Roth IRA, 401k, HSA, 529), brokerage fee analysis, compound growth modeling, and S&P 500 balance sheet structure analysis. Every projection on this site is Python-verified with ±$10 tolerance. My quantitative working papers are published on Zenodo under CC BY 4.0 open license.
You can reach out to me at [email protected].
Peer-Accessible Working Papers
The Q1 2026 Balance Sheet Stress Report: A Three-Regime Classification of S&P 500 Non-Financial Equity Structures
This study analyzes the most recent 10-Q or 10-K filings of 396 S&P 500 non-financial constituents (97% coverage) and finds that 27 firms (6.8%) report negative stockholders’ equity — a Regime 3 condition where the classical debt-to-equity ratio is mathematically undefined. The study proposes a three-regime framework (Normal, Thin, Broken) and applies Cathcart, Dufour, Rossi, and Varotto (2020)’s 1.24-percentage-point large-firm annual default-probability gap across leverage quartiles.
Content License
All original charts, graphics, calculators, and analysis on TheFinSense are © TheFinSense 2026. For licensing inquiries, reuse permissions, or commercial use requests, contact [email protected].
Important Disclosure: TheFinSense publishes educational quantitative analysis. Not investment, tax, or legal advice. Consult a licensed professional before acting on any calculation.