Nos derniers articles

This study examines a #riskaverse #insured who buys deductible #insurance and uses a barrier strategy for reporting #losses. The #insurer has a bonus-malus system with two rate classes; shifting to a costlier class occurs upon loss reporting. The insured's tendency to underreport losses is established under specific conditions, with her strategic reporting threshold derived. Allowing insureds to choose deductibles reveals positive equilibrium values, challenging the assumption of full insurance optimality. This work explains the common underreporting of losses across non-life insurance sectors.

This study addresses #climate-induced decline in #honey production, a significant #risk for #beekeepers. A #parametricinsurance policy is discussed, using #weatherdata to trigger payouts for losses due to adverse conditions. The approach is evaluated using random forests, comparing beekeepers' losses to #insurance benefits under various weather #scenarios, alongside traditional methods. An #italian case example demonstrates pricing for different regions.

"In the current market practice, many #cyberinsurance products offer a coverage bundle for losses arising from various types of incidents, such as #databreaches and #ransomwareattacks, and the coverage for each incident type comes with a separate limit and deductible. Although this gives prospective cyber insurance buyers more flexibility in customizing the coverage and better manages the #risk exposures of sellers, it complicates the decision-making process in determining the optimal amount of risks to retain and transfer for both parties. This paper aims to build an economic foundation for these incident-specific cyber insurance products with a focus on how incident-specific indemnities should be designed for achieving #pareto optimality for both the #insurance seller and buyer. Real data on #cyberincidents is used to illustrate the feasibility of this approach. Several implementation improvement methods for practicality are also discussed."

The study proposes a method to assess #demographic #risk within the #solvencyii #regulations, using compact formulas to analyse #insurance portfolio inflows and outflows. It recommends a market-consistent valuation of liabilities for traditional and equity-linked policies. This includes evaluation of the Solvency #capitalrequirement of idiosyncratic and systematic risk, with a formula for the former and an algorithm for the latter.

This paper analyzes the constraints on the #insuranceindustry in providing larger capacity for #cyberrisk #insurance. The authors argue that cyber risk is unique in that it is both information-intensive to underwrite and heavy-tailed, leading to a tension between the need to raise large amounts of external capital to finance heavy-tailed risks and the high compensation demanded by capital providers due to information frictions.

Proposed #actuarial #models address concerns over #longevity #risk by incorporating stalling #mortality improvements and #heatwave effects. They offer a parsimonious approach to capturing recent mortality trends and enable more accurate forecasts. Findings indicate a higher #insurance #riskpremium tolerance in longevity swaps.

This study examines the #riskallocation problem in distributed #insurance using #blockchaintechnology, considering different charging methods. Through #gametheory analysis, the research explores the #pareto optimal risk allocation method. The findings reveal that when charges occur during insurance signing, risk is proportionally distributed based on policyholders' #riskaversion coefficient. However, if the platform provider charges a fee proportional to the premium or actual risk, policyholders bear increased risk from others while their own risk is reduced, leading to decreased overall utility. These conclusions provide valuable insights for #blockchain insurance companies regarding user #riskmanagement and allocation.

This paper claims to contribute to the understanding of #peertopeer, #decentralized distributed #insurance as a viable alternative to traditional insurance models, offering potential solutions to address market consolidation and enhance #financialinclusion through #risksharing. Further exploration and empirical studies are necessary to validate the viability and long-term implications of this emerging paradigm in the #insuranceindustry.

Key findings:1. #masstort plaintiff lawyers do not primarily base their litigation and settlement strategy on defendants' #liabilityinsurance, except in cases of insolvency.2. Despite #insurance policies assigning control over defense to the #insurer, mass tort defendants typically retain control over their defense, even when they recover under these policies.3. Mass tort defendants usually use their own funds to settle #claims, seeking indemnification from liability insurers, if available, at a later stage.4. Many mass tort plaintiff law firms rely on non-recourse litigation funding, reminiscent of early forms of commercial insurance like bottomry and respondentia. An emerging insurance market is reducing the cost of this funding and may eventually replace it.

"We show that classical #insurance #models based on some compound distributions can well predict #information #leakage by #cyberincidents with reducing the computational cost thanks to the model’s simplicity."