What SM Research Is
I started SM Research as a place to record questions I was working through across markets, valuation and capital allocation. It remains an independent, student-led publication, and my research is its flagship body of work.
Writing a view down makes my reasoning reviewable. It exposes the assumptions, gives readers something specific to challenge and forces me to state what would change the conclusion before the outcome is known. That record matters more to me than a polished catalogue of correct calls.
Founder Research
Everything under Research is my work. This archive alone informs my Current Views, investment stances, historical thesis outcomes and Decision Log. I keep the original thesis visible alongside the evidence that followed.
I am not trying to present a catalogue of successful calls. I want the archive to show how I frame questions, test evidence, size uncertainty and revise conclusions when the facts change. Failed theses stay published because removing them would create a cleaner record, but a less credible one.
Contributor Research
Investing offers many ways to understand how capital, risk and exchange shape real outcomes. I opened Contributor Research to give other students a place to test serious ideas and publish selected work under their own names. Each article names its author beside the title and links to a simple index of that contributor's research.
We can help sharpen structure, sourcing, presentation and analytical clarity. We do not replace the author's thesis, core evidence or underlying analysis. Contributors remain responsible for their conclusions, and their work does not enter my Current Views or Decision Log.
Analytical Standards
Work should begin with a defined analytical question rather than a predetermined conclusion. Facts, assumptions and interpretation should remain visibly separate. Evidence should be traceable, with primary and institutional sources preferred where available. Material risks, counterarguments, model limitations and relevant conflicts belong in the research itself.
Models are useful when they make assumptions clearer or scenarios more testable. They are not used to add complexity for its own sake. Material errors should be corrected and revisions dated so readers can distinguish the original conclusion from later evidence.
Why Commodities
My interest in markets started with commodities. My mother's side of the family comes from a farming background, so weather, harvest conditions and commodity prices never felt completely abstract. Learning how futures can protect the value of a harvest, manage an airline's fuel exposure or secure an industrial input changed how I understood finance.
Many of my early reports originated while I served as Commodities Sector Head at Queen's Tower Capital, Imperial College London's student-managed investment fund. Commodities became an entry point into rates, currencies, credit, valuation and broader asset allocation rather than the boundary of my research. That wider interest still comes back to the same question: how do markets and investing shape exchange, capital allocation and real-world outcomes?
About the Founder
Sri studies Economics, Finance & Data Science at Imperial College London. His interests sit at the intersection of commodity markets, rates, currencies, macroeconomics, financial modelling and quantitative analysis. SM Research is intended to remain a continuing analytical record rather than a substitute for a curriculum vitae.
Disclosures and Corrections
All material is provided for educational and informational purposes only and does not constitute investment advice. Relevant holdings, incentives and conflicts should be disclosed where applicable. Contributor articles carry their named author's conclusions. Corrections and dated updates may be published when evidence or errors materially change the analysis.