Analyses how energy-price volatility affects financial risk, using Python, econometric modelling and market data. Results and practical implications: [add project findings].
Market Econometrics
Examines climate-related financial risk through scenario analysis, transition indicators and asset-pricing methods. Quantitative results and portfolio implications: [add project findings].
Quantitative Investment
Studies relationships across energy, macroeconomic and financial markets with time-series methods. Model performance, key evidence and investment relevance: [add project findings].
Title 4
Develops a data-driven investment or risk framework combining financial theory, statistical analysis and reproducible Python workflows. Outcome and decision impact: [add project findings].
