no code implementations • 5 Feb 2024 • Chi Truong, Matteo Malavasi, Han Li, Stefan Trueck, Pavel V. Shevchenko
We model the severity of extreme sea level events using the block maxima approach from extreme value theory, and then develop a real options framework, factoring in climate change, sea level rise uncertainty, and the growth in asset exposure.
no code implementations • 22 Feb 2022 • Gareth W. Peters, Matteo Malavasi, Georgy Sofronov, Pavel V. Shevchenko, Stefan Trück, Jiwook Jang
We argue that the choice of such methods is akin to a form of model risk and we study the risk sensitivity that arise from choices relating to the class of robust estimation adopted and the impact of the settings associated with such methods on key actuarial tasks such as premium calculation in cyber insurance.
no code implementations • 21 Feb 2022 • Pavel V. Shevchenko, Jiwook Jang, Matteo Malavasi, Gareth W. Peters, Georgy Sofronov, Stefan Trück
In this study we examine the nature of losses from cyber related events across different risk categories and business sectors.
no code implementations • 5 Nov 2021 • Matteo Malavasi, Gareth W. Peters, Pavel V. Shevchenko, Stefan Trück, Jiwook Jang, Georgy Sofronov
We address these questions through a combination of regression models based on the class of Generalised Additive Models for Location Shape and Scale (GAMLSS) and a class of ordinal regressions.