Problem
Cross-market research often treats companies, sectors, and macro conditions in separate frames. That leaves comparative analysis too shallow.
BIST vs MOEX Sector Comparison Analysis
Comparative research project that evaluates similar-sector companies on Borsa Istanbul and Moscow Exchange inside a shared analytical frame.
Financial research project comparing companies in similar sectors across BIST and MOEX.
What was built
I designed a research structure that maps similar sectors across BIST and MOEX, then evaluates company metrics under a common analytical logic. The goal was not only comparing numbers, but reading market differences systematically.
Technology stack
- Python for data processing and research workflows
- Comparative financial analysis
- Joint reading of macroeconomic context and company metrics
- Sector-based mapping and interpretation logic
Data / workflow
- Map similar-sector company groups
- Create a comparable metric framework
- Read macro effects together with company data
- Turn the research output into an investment-oriented interpretation base
Outcome and impact
The project creates a structured basis for studying two exchanges with one research template. That makes cross-market comparisons more disciplined and extensible.
Why it matters
It is one of the strongest examples of how I combine economics, data analysis, and finance research around one concrete problem.
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