This Master's thesis was written in collaboration with Trygg-Hansa through the Faculty of Engineering at Lund University. The repository contains the different scripts used to develop the pricing model and to validate it as well as the script used to collect the data and store it in a local SQL data table. It is also included the PDF with the findings made and the methodology followed.
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This project introduces a comprehensive framework for pricing insurance policies tailored to Non-Fungible Tokens (NFTs). Through the application of statistical inference and advanced time series modeling, we accurately forecasted both the likelihood of loss and the severity of potential claims.
rdf5/insurancenft
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This project introduces a comprehensive framework for pricing insurance policies tailored to Non-Fungible Tokens (NFTs). Through the application of statistical inference and advanced time series modeling, we accurately forecasted both the likelihood of loss and the severity of potential claims.
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