Digital Solutions for Weather Risk Hedging: Toward Sustainable Finance

Miroslava Mahlebashieva ()
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Miroslava Mahlebashieva: Department of Finance, University of Economics - Varna, Bulgaria

Financial Navigator Journal (selected edition), 2025, issue 1, 79-90

Abstract: As climate change intensifies the frequency and severity of weather anomalies, demand for effective risk mitigation tools grows. Weather derivatives offer a mechanism for managing weather-induced volatility, yet their adoption remains limited due to high transaction costs, pricing opacity and structural market barriers, particularly for small and medium-sized enterprises (SMEs). This paper proposes a digitally enhanced approach for weather risk hedging that integrates recent advances in climate modeling, artificial intelligence (AI), blockchain infra-structure, and regulatory-aligned reporting tools into a unified analytical system. The structure spans the entire hedging process: from weather modeling and risk exposure estimation to smart contract execution and performance evaluation. Itis designed to serve a dual purpose: supporting internal financial flexibility through more effective hedging strategies, while also enabling external alignment with sustainability disclosure frameworks such as the Corporate Sustainability Re-porting Directive (CSRD)and the Task Force on Climate Related Financial Disclosures (TCFD), which are increasingly influencing companies of all sizes, directly or indirectly. While challenges remain in implementation and regulatory integration, the proposed methodology links advanced digital tools with sustainable weather risk management, supporting both financial resilience and regulatory alignment.

Keywords: Weather Derivatives; Weather Risk Hedging; Smart Contracts; Machine Learning; Sustainable Finance (search for similar items in EconPapers)
Date: 2025
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