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Amia Santini

Publications and source records attributed to Amia Santini.

2 recordsLinked to original sources

Renewing Reliability: Valuation and Credit Risk Adjustments for Renewable Power Purchase Agreements

Power Purchase Agreements (PPAs) are bilateral over-the-counter contracts central to renewable energy financing. While their capacity to stabilise revenues and hedge price risk is well recognised, their OTC structure exposes both parties to counterparty credit risk. This is a dimension yet to be explored in the literature, particularly given the dual price and volumetric uncertainty inherent in renewable sources. This paper develops a framework for the pricing and valuation of wind power PPAs and for quantifying this risk through Credit Valuation Adjustment (CVA) and Debit Valuation Adjustment (DVA). We model the joint dynamics of electricity spot prices and renewable output, incorporate default probabilities, and compute valuation adjustments that reflect the fair value of bilateral credit risk. The framework provides market participants with a transparent metric for PPA valuation under counterparty risk. While initiatives such as the European Investment Bank's pilot guarantee scheme aim to mitigate credit risk for certain offtakers, such interventions do not cover all PPA transactions. Rigorous internal credit risk assessment therefore remains indispensable for lenders, producers, and offtakers alike.

q-fin.PR

Beyond the Fixed Price: Valuation and Risk of Non-Standard Renewable PPAs

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.

q-fin.PR