quant research // summarizing the paperLOADING
Nicola Bartolini, Silvia Romagnoli, Amia Santini · 2026-07-03
The paper builds a financial framework to price and assess the risk of fixed-price renewable Power Purchase Agreements (PPAs) for wind and solar generation. It formalizes common contract payoff structures, derives fair prices using valuation principles, and uses Monte Carlo simulation plus a new continuous-time model for solar irradiance. Applied to the Italian electricity market, it finds that fair prices and risk profiles differ substantially across technologies and contract designs.
Why it matters: Practitioners involved in energy markets, renewables project finance, or structured commodity contracts could use this as a methodology for valuing and hedging PPAs. It highlights how contract design creates a trade-off between downside protection and upside participation, which is relevant when negotiating or evaluating such deals.
⚠ Results are model-based and empirically limited to the Italian electricity market, so they may not transfer to other markets or survive real-world contract frictions.
Renewable Power Purchase Agreements have become increasingly important instruments for supporting the energy transition, as they offer revenue stability to renewable energy producers and price certainty to electricity consumers. This paper develops a financial framework for the valuation and risk assessment of fixed-price renewable PPAs. We formalize the payoff structures of the main PPA designs adopted in practice for wind and photovoltaic generation and derive fair contract prices based on financial valuation principles. We further propose a market risk-assessment methodology based on Monte Carlo simulation and introduce a parsimonious continuous-time model for solar irradiance suitable for financial applications. An empirical analysis of the Italian electricity market shows that fair prices and risk profiles vary substantially across technologies and contractual structures, highlighting the trade-off between downside protection and participation in favorable market outcomes. This framework provides practical tools for the pricing and risk evaluation of renewable PPAs.
Go deeper: a full research-committee breakdown of this paper, its assumptions and failure modes, and how its method would apply to a specific ticker or your watchlist. See StockTools AI →
AI summary generated from the paper’s public abstract via arXiv; it may miss nuance — read the source before relying on it. Thank you to arXiv for its open-access interoperability; StockTools is not affiliated with arXiv, and all rights remain with the authors. Educational only, not financial advice.