Pietro Manzoni
Title of the PhD Thesis: Four Essays in Energy Finance
Advisor: Prof. Roberto Baviera (Politecnico di Milano)
Area of Mathematics: Mathematical Finance
PhD Committee Members: Prof. Ioannis Kyriakou (Bayes Business School of City, University of London), Prof. Marco Maggis (Università degli Studi di Milano-Statale), Prof. Daniele Marazzina (Politecnico di Milano)
In his thesis, Pietro Manzoni studied four key problems in energy finance. His research addresses electricity demand forecasting using Recurrent Neural Networks, focusing on interpretability and predictive uncertainty. He also explores energy derivatives pricing with Lévy-driven Ornstein-Uhlenbeck processes, introducing an efficient simulation method. Finally, he investigates an anomaly between spot and futures prices in the European carbon market, suggesting regulatory interventions to enhance market efficiency.
Davide Stocco
Title of the PhD Thesis: Three Essays on ESG Ratings and Quantitative Finance
Advisor: Prof. Emilio Barucci (Politecnico di Milano)
Area of Mathematics: Mathematical Finance
PhD Committee Members: Prof. Ioannis Kyriakou (Bayes Business School of City, University of London), Prof. Marco Maggis (Università degli Studi di Milano-Statale), Prof. Daniele Marazzina (Politecnico di Milano)
In his thesis, Davide Stocco studied the impact of Environmental, Social, and Governance (ESG) scores on the financial, addressing three major gaps in the literature. First, they explore the proprietary models used for issuing ESG ratings and their main drivers. Secondly, they examine ESG ratings' role in asset managers' investment decisions. Finally, they analyse the impact of ESG-related controversies and sustainability social media reputation on stock prices.