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In the classical expected utility framework, a problem of optimal insurance design with a premium constraint is … equivalent to a problem of optimal insurance design with a minimum expected retention constraint. When the insurer has ambiguous …, Amarante, Ghossoub and Phelps examined the problem of optimal insurance design with a premium constraint when the insurer has …
Persistent link: https://www.econbiz.de/10011443689
focuses attention on the insurance fraud problem in a setting where insurers repeatedly verify claims satisfied by service … on optimal audit in insurance and the exploitation/exploration trade-off in multi-armed bandit problems. …
Persistent link: https://www.econbiz.de/10011811555
, the information they provide should be submitted to verification by an external, independent body. Our study, carried out … auditing is the low demand for such a service, which arises from the fact that verification and assurance of non-financial data …
Persistent link: https://www.econbiz.de/10012632201
We address the moral hazard problem of securitization using a principal-agent model where the investor is the principal and the lender is the agent. Our model considers structured asset-backed securitization with a credit enhancement (tranching) procedure. We assume that the originator can...
Persistent link: https://www.econbiz.de/10011783323
health insurance under ex post moral hazard; i.e., when illness severity cannot be observed by insurers, and policyholders …
Persistent link: https://www.econbiz.de/10011556667
selected in a survey conducted among financial sector employees was subject to statistical verification. The analysis used both … variables directly related to the insurance product (e.g., a regulatory restriction of insurance acquisition costs) as well as … importance of insurance distribution in banks. Significant risk factors (statistically significant) which determine gross …
Persistent link: https://www.econbiz.de/10012598986
The growing trend in the number and severity of auto insurance claims creates a needfor new methods to efficiently … study considers how automotive insurance providers incorporate machinery learning intheir company, and explores how ML … models can apply to insurance big data. We utilize various MLmethods, such as logistic regression, XGBoost, random forest …
Persistent link: https://www.econbiz.de/10012483213
Investments in security and cyber-insurance are two cyber-risk management strategies that can be employed together to … insurance liability scenarios (full liability, limited liability, and limited liability with deductibles) when we consider a … multi-branch firm with correlated vulnerability. The insurance component results to be the major expense. It ends up being …
Persistent link: https://www.econbiz.de/10012423138
. The asset modeling framework leads to the proliferation of inappropriate assumptions about the effect of insurance line of … insurance parameter risk. …
Persistent link: https://www.econbiz.de/10011687307
In this paper we analyze insurance demand when the utility function depends both upon final wealth and the level of … documented in real insurance markets. …
Persistent link: https://www.econbiz.de/10011867426