I build deep-dive equity theses, macro context, and process-driven frameworks to understand how businesses create value and how markets price risk.
A sample of current work. Many of these live as slide decks or PDFs; this site is a hub to organize and link them over time.
A thorough look into U.S. federal debt, structural unsustainability, and the rising probability of implicit default through inflation, financial repression, and dollar debasement, arguing the fiscal position can no longer be stabilized through any politically plausible adjustment.
Tracks how the post-ChatGPT AI boom concentrated U.S. market returns in a narrow group of semiconductor and platform names, with valuations running well ahead of earnings. Covers where value actually accrues across the AI stack and which costs, including energy demand, memory shortages, and safety liabilities, remain largely unpriced.
A valuation deep dive into Palantir examining revenue quality, margins vs scale, government vs commercial mix, implied growth rates, and how narrative-driven multiples compare to measurable fundamentals.
Most projects fall into these buckets that talk to each other: company work, macro context, and process.
I start with the business and cash flows, then layer macro and sentiment on top. I care about the difference between "great companies" and "great stocks", and I use data to pressure-test stories rather than replace judgment.
This site is a living notebook. Over time I'll link more decks, notes, and code so you can see exactly how the conclusions were built.
My name is Mohammad, and I am a recent Tufts graduate with a dual degree in economics and sociology. I've worked across data analytics, investment banking, consulting, and private equity, mostly around M&A, deal sourcing, and capital raising.
Outside of work, this research hub is how I keep sharpening my thinking about markets, valuation, and risk. If any of this resonates, I'd love to connect.