Actuarial Mathematics and Risk Management
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 27694
Special Issue Editor
Interests: risk management for life insurance and pension funds, in particular with reference to longevity risk; solvency for life portfolios and pension funds; actuarial perspectives of annuitization and post-retirement choices in pension products; multistate models for the insurances of the person; actuarial pricing of life and health insurance products; actuarial models for the valuation of the life insurance business
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Among the most significant implementations of the principles of enterprise risk management (ERM), the risk management process (RMP) involves various quantitative phases, usually encompassed under the label quantitative risk management (QRM).
The RMP starts with defining the objectives (of an organization or a line of business), and then develops through the phases of risk identification, risk assessment, impact assessment, analysis of actions, choice of actions, and monitoring. Risk and impact assessment phases call for quantitative tools to perform stochastic evaluations (frequently relying on Monte Carlo simulation procedures) as well as deterministic evaluations (e.g., sensitivity analysis and stress testing). Observations resulting from the monitoring phase can be elaborated and merged with initial assumptions via appropriate statistical procedures, yielding updated input for a new cycle of the RMP.
Actuarial mathematic principles and tools can provide substantial support when implementing QRM phases, in particular when facing new risks or risks with changing features. Examples are provided by the assessment of product and portfolio risk profiles, the analysis of pooling effects and aggregate risk components, the use of stochastic processes in analyzing the evolution over time of individual risks and portfolio results, etc.
This background suggests that there are many areas of modeling and managing risks that can benefit from novel research, aiming at both methodological and application innovation, in the insurance (life and non-life) context as well as in other economic sectors.
Some examples of possible research topics for inclusion in this Special Issue include:
- New products in the life insurance and pension context and related risk profiles.
- Insurance, reinsurance, and alternative risk transfers for climate change risks.
- The role of big data in the risk assessment phase.
- Insurance versus self-insurance for traditional and emerging risks.
- Key risk indicators, summarizing an organization risk profile.
Prof. Dr. Annamaria Olivieri
Guest Editor
Manuscript Submission Information
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Keywords
- risk and impact assessment
- risk measures
- hedging
- diversification via pooling
- risk transfers
- statistical tools in monitoring
- evolving risks
- insurance product design
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