Imperial College London

Dr Davide Benedetti

Business School

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Davide is a postdoctoral researcher in Finance at Imperial College Business School. His research activities are mainly focused on risk management and insurance. Davide received his PhD from Imperial College Business School under the supervision of Dr. Enrico Biffis, while funded by Climate-KIC (European Institute of Innovation and Technology).

Davide is currently collaborating at the WINnERS project, which aims to design an insurance product to protect agricultural supply chains, in developed and developing countries, against climate change risks. Previously, he worked on a joint project on urban climate change resilience between the Grantham Institute and CSIRO. Before, he has been involved in the Large Commercial Risks project. The project committed to deliver a dataset of large commercial losses for the Asia-Pacific Region, as well as a modelling framework and pricing implications. As part of his PhD scholarship, he worked at Oasis Loss Modelling Framework, which aims to provide an open source catastrophe modelling service for (re)insurance companies, public bodies and financial institutions.

At Imperial College Davide has been course lead of Econometrics I & II at the Business School MRes/PhD programme, and teaching assistant of MSc level courses in Machine Learning, Life Insurance, Quantitative Methods and Applied Econometrics.

Davide holds a BSc and MSc in Statistics from University of Bologna. He has been visiting researcher at Georgia State University in Atlanta, at the Insurance Risk and Finance Research Centre in Singapore, at the Commonwealth Scientific and Industrial Research Organisation in Australia, and at the Private Agricultural Sector Support in Dar es Salaam.



Benedetti D, Biffis E, Chatzimichalakis F, et al., 2021, Climate change investment risk: optimal portfolio construction ahead of the transition to a lower-carbon economy, Annals of Operations Research, Vol:299, ISSN:0254-5330, Pages:847-871

Eastwood J, Hapgood MA, Biffis E, et al., 2019, Quantifying the economic value of space weather forecasting for power grids: An exploratory study, Space Weather, Vol:16, ISSN:1539-4956, Pages:2052-2067

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