G. Karakatsanis, D. Roussis, Y. Moustakis, N. Gournari, I. Parara, P. Dimitriadis, and D. Koutsoyiannis, Energy, variability and weather finance engineering, Energy Procedia, 125, 389–397, doi:10.1016/j.egypro.2017.08.073, 2017.
Weather derivatives comprise efficient financial tools for managing hydrometeorological uncertainties in various markets. With ~46% utilization by the energy industry, weather derivatives are projected to constitute a critical element for dealing with risks of low and medium impacts –contrary to standard insurance contracts that deal with extreme events. In this context, we design and engineer -via Monte Carlo pricing- a weather derivative for a remote island in Greece -powered by an autonomous diesel-fuelled generator- resembling to a standard call option contract to test the benefits for both the island’s public administration and a bank -as the transaction’s counterparty.
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Our works referenced by this work:
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Our works that reference this work:
|1.||E. Klousakou, M. Chalakatevaki, P. Dimitriadis, T. Iliopoulou, R. Ioannidis, G. Karakatsanis, A. Efstratiadis, N. Mamassis, R. Tomani, E. Chardavellas, and D. Koutsoyiannis, A preliminary stochastic analysis of the uncertainty of natural processes related to renewable energy resources, Advances in Geosciences, 45, 193–199, doi:10.5194/adgeo-45-193-2018, 2018.|
|2.||N. Mamassis, A. Efstratiadis, P. Dimitriadis, T. Iliopoulou, R. Ioannidis, and D. Koutsoyiannis, Water and Energy, Handbook of Water Resources Management: Discourses, Concepts and Examples, edited by J. Bogardi, K. D. Wasantha, R. R. P. Nandalal, R. van Nooyen, and A. Bhaduri, Chapter 20, Springer Nature, Switzerland, 2020, (in press).|