Ex-ante evaluation of a cross-sectorial business model for risk management in new product development: the case of Haitian farming
With the rise of climate change, institutions are compelled to adopt new strategies to
increase resilience toward natural disasters. For institutions providing insurance products to …
increase resilience toward natural disasters. For institutions providing insurance products to …
Optimal investment and reinsurance under exponential forward preferences
K Colaneri, A Cretarola, B Salterini - Mathematics and Financial …, 2024 - Springer
We study the optimal investment and proportional reinsurance problem of an insurance
company, whose investment preferences are described via a forward dynamic utility of …
company, whose investment preferences are described via a forward dynamic utility of …
Economic sustainability in the Indian states: a quantitative approach based on business intelligence
S Bharathithasan… - International Journal of …, 2024 - inderscienceonline.com
This study looks at how financial access, commercial knowledge, technology, and risk-taking
attitude affect economic sustainability in the Indian state of north Tamil Nadu, with …
attitude affect economic sustainability in the Indian state of north Tamil Nadu, with …
Minimizing an insurer's probability of ruin with branching businesses
J Guo, X Liang, M Zhang - Mathematical Control and Related …, 2024 - aimsciences.org
This paper studies an optimization problem for an insurer with several branches. The head
insurer can choose a sequence of stopping times to develop new branches. At the same …
insurer can choose a sequence of stopping times to develop new branches. At the same …
Optimal control problems and their applications to insurance
B Salterini - 2023 - flore.unifi.it
In this thesis, we study a few optimization problems for an insurance company whose
purpose is to maximize profits and/or minimize risks. Our results are collected in three …
purpose is to maximize profits and/or minimize risks. Our results are collected in three …