Optimal (Re)Insurance: Challenges and Solutions

Dear Colleagues,

Optimal reinsurance refers to the process of determining the most effective way for insurance companies to transfer risk to a reinsurer. This research topic explores the challenges and solutions involved in finding the best reinsurance strategy. Challenges may include determining the appropriate level of risk transfer, managing the cost of reinsurance, and dealing with the complexity of reinsurance contracts. Solutions may involve the use of advanced modeling techniques, innovative reinsurance structures, and strategic partnerships with reinsurers. The goal of this Special Issue is to help insurance companies make informed decisions about reinsurance that will maximize their risk protection and financial performance.

Meanwhile, the frequent occurrence of catastrophic risks, such as floods, droughts, earthquakes, and storms, poses new challenges to the insurance industry and imposes higher demands on optimal (re)insurance design. When facing frequent natural disasters and other catastrophic risks, (re)insurance companies need to more accurately assess risks and develop more flexible (re)insurance strategies to effectively diversify and manage risks. At the same time, it is necessary to strengthen cooperation with scientific research institutions and government departments to jointly develop innovative (re)insurance products and solutions to better adapt to the constantly changing catastrophic risk environment. In this context, optimal (re)insurance design needs to constantly innovate to address new challenges and risks.

We would like to invite you to submit your research papers concerning or related to optimal (re)insurance and risk sharing to this Special Issue. Topics of interest include, but are not limited to, the following:

• Optimal (re)insurance with background risks;
• Optimal (re)insurance with external interventions;
• Optimal (re)insurance with default risks;
• Optimal (re)insurance under new emerging risk measures;
• Optimal (re)insurance under new premium principles;
• Optimal (re)insurance under game theory;
• Optimal (re)insurance for dependent risks;
• Cyber risks and optimal (re)insurance;
• Insurance economics;
• Behavior (re)insurance;
• Catastrophe (re)insurance design;
• Risk sharing and optimal (re)insurance.

Dr. Yiying Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• optimal (re)insurance
• risk measures
• risk management
• risk sharing
• premium principles
• catastrophe risk
• cyber risk