Chinmay Belgaonkar
CMB Research is an independent research platform focused on markets, economics, prediction systems, and applied data analysis.
Chinmay studied Computer Information Systems and data analytics at Georgia State University and previously worked in derivatives-clearing operations at Morgan Stanley. Current work spans Indian equity research, quantitative finance, prediction markets, labour economics, and applied data analysis.
The common thread is research design: turning a broad question into something measurable, building a test that can fail, and documenting what changes when the evidence does not support the original story.
Research interests
- Indian equity research, market structure, and empirical asset-pricing questions;
- quantitative trading research with explicit failed-test documentation;
- prediction markets, information aggregation, and AI decision-making;
- labour economics and Indian public microdata such as PLFS;
- optimization, research design, and reproducible analytical workflows.
Why failed ideas stay on the site
CMB Research is not intended to be a page where every project ends with a clean positive finding. Methodological mistakes, failed holdouts, null results, and economically trivial effects remain part of the research record.
What this site is not
It is not a signal-selling service or a claim that every research question produces alpha. Company-specific equity work is kept separate from quantitative research, with assumptions, uncertainty, and relevant conflicts stated where they matter.