Nos derniers articles

This paper explores the #reputationalrisk associated with #esg investments and provides a formal theoretical valuation system for ESG reputation. The authors argue that ESG criteria adoption has multiple positive dimensions and outcomes, but the analysis of the #risks related to #sustainability is uncommon. They model ESG reputational risk using paradigms of #behaviouralfinance, defining it by subjective probabilities framed in a #probability function based on potential trustees' preferences. The paper highlights the need for accurate evaluation of reputational risks related to ESG investments by firms and other institutions, including #insurance companies and #pensionfunds.

This paper examines the Bowley solution in the context of #insurance contracts using the expected utility framework. Specifically, the paper analyzes a sequential game between a #policyholder and an #insurer, in which the policyholder selects the optimal #indemnity function and the insurer adjusts the pricing kernel to maximize expected #netprofit. The paper finds that the optimal safety loading factor increases with the policyholder's #riskaversion level and the #probability of zero loss. However, the paper also shows that the Bowley solution is #pareto dominated, meaning that both parties' interests can be further improved.

The paper argues that seeing #riskmanagement as a question of defining the partnership between business and government is crucial to improving it rather than focusing solely on the amount of #regulation.Sometimes these partnerships are adversarial, as they can be with government regulation. Other times they are seemingly invisible, such as when society relies on private #insurance markets to manage risk.

It proposes policy changes to reduce the cost and improve the value of #autoinsurance in #canada. The study found that Canadians pay the highest premiums in the world for auto #insurance relative to GDP, with personal injury coverage being the most significant contributor to overall differences. The paper recommends product reforms and addressing #autorepair#fraud to increase consumer choice, reduce disputes, and provide better value.

Examines the relationship between #crime and #insurance, with a focus on the role of #governance, #riskassessment and #riskmanagement, #crimeprevention, #securitytechnology, #behavioraleconomics, #theft, #kidnap and #hijack for ransom, #fraud, and #ransomware. It analyzes five case studies to identify a co-evolutionary process in which #insurers collaborate with insureds, governments, and #thirdparty to #mitigaterisk, particularly when criminal innovations destabilize the #insurancemarket.

This study examines the use of #artificialintelligence (#ai) and #bigdata data analytics by #insurers in #belgium for segmentation purposes to determine #claims#probability for prospective policyholders. The implementation of AI and big data analytics can benefit insurers by increasing the accuracy of #riskassessment. However, pervasive segmentation can have negative implications and potentially harm policyholders if their risk is incorrectly calculated. Existing restrictions in #insurance#regulations fall short of protecting policyholders from inaccuracies in risk assessments, potentially resulting in incorrect #premiums or conditions.

"We consider two possible approaches to the problem of incorporating explicit general (i.e. economic) #inflation in the #non_life [#insurance] #claims reserve estimates and in corresponding reserve SCR, defined - as in #solvencyii - under the one year view. The #actuarial approach provides a simplified solution to the problem, obtained under the assumption of deterministic #interestrates and absence of inflation risk premia."

This paper focuses on the development of #bayesian classification and regression tree (#cart) models for claims frequency modeling in non-life #insurance pricing. The authors propose the use of the zero-inflated #poisson distribution to address the issue of imbalanced claims data and introduce a general MCMC algorithm for posterior tree exploration. Additionally, the deviance information criterion (DIC) is used for model selection. The paper discusses the applicability of these models through simulations and real insurance data.

This paper discusses #decentralized#insurance and its various forms of #risksharing mechanisms developed worldwide. It highlights the need for a unified #mathematical framework to describe the commonalities and relationships between different forms of #peertopeer insurance. The framework allows for a comparison of existing practices and the design of hybrid and innovative #models .

This article applies the Insurance Performance Measure (IPM) model to a set of #indian#insurance companies over the period 2005-2016, which is the first study to apply this model on real industry data. The IPM was introduced as a better way to assess industry and company performance for insurance companies as traditional #financialaccounting analysis is not suitable for the unique format of insurance company financials. IPM incorporates #underwriting, investment, and #reinsurance along with a hurdle rate and is consistent with Warren Buffett's desire for a balanced overview of industry performance. The model could help in identifying the threshold limit for overall profitability and in negotiations for reinsurance renewals.Read