In this contribution we consider a genetic programming approach to price rainfall derivatives and we test it on a case study based on data collected from a meteorological station in a city in the northeast region of Friuli Venezia Giulia (Italy), characterized by a fairly abundant rainfall.

Pricing Rainfall Derivatives by Genetic Programming: A Case Study

Barro, Diana;Parpinel, Francesca;Pizzi, Claudio
2022-01-01

Abstract

In this contribution we consider a genetic programming approach to price rainfall derivatives and we test it on a case study based on data collected from a meteorological station in a city in the northeast region of Friuli Venezia Giulia (Italy), characterized by a fairly abundant rainfall.
2022
Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3761388
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