UOS

Electricity price risk exposure and equity valuations in Europe

University of Strathclyde Business School

✓ Fully Funded ⏰ Closing Soon 🎓 Econometrics 🎓 Empirical Asset Pricing 🎓 Energy Economics 🎓 Financial Management 🎓 Machine Learning 🎓 Statistics 🎓 Sustainable Finance 🎓 Text Analytics phd fully funded Europe European firms NLP UK asset pricing econometrics electricity price risk energy markets finance machine learning sustainable finance

A fully funded PhD at University of Strathclyde exploring electricity price risk exposure and its impact on European company valuations using NLP, financial econometrics, and textual analysis.

Project Description

This project investigates how exposure to electricity price risk affects investor valuations of European companies. The student will: Construct electricity risk indices for Europe using text-based NLP methods Analyze major newspapers in UK, Germany, France, Italy, and Spain Apply financial econometrics to assess firm-level outcomes Examine how electricity price exposure affects stock returns and market valuations The project combines energy economics, sustainable finance, text analytics, and empirical asset pricing, addressing cross-country risk measurement and unstructured data analysis challenges.

Entry Requirements

Strong quantitative and analytical skills
Background in Economics, Finance, Data Science, or related field
Experience with NLP, machine learning, and econometrics advantageous

How to Apply

Apply via University of Strathclyde online application system
Indicate Dr Luigi Gifuni as supervisor
Fully-funded 3-year PhD covering tuition and stipend

Eligibility

UK/Home

International

Supervisor Profile

Dr Luigi Gifuni

University of Strathclyde, Business School

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