{"title":"The joint model of default and prepayment for a mortgage loan and its application in mortgage insurance","authors":"Lan Bu , Fang Wang , Jingping Yang","doi":"10.1016/j.insmatheco.2026.103227","DOIUrl":"10.1016/j.insmatheco.2026.103227","url":null,"abstract":"<div><div>In a portfolio of loans, default and prepayment are two competing events, and only the time and type of the first event to occur can be observed. Modeling the competing risks is crucial for mortgage insurance. This paper focuses on modeling the joint distribution of the time to default and the time to prepayment by considering two components: subdistributions of the time to default and time to prepayment, and a copula to model their dependence structure, where the subdistributions are estimated from the portfolio data, and the copula is chosen by concentrating on some optimal criteria.</div><div>For this purpose, we discuss the compatibility of a copula with the given subdistributions, and provide a method for deriving the marginal distributions of default and prepayment from the subdistributions and a compatible copula. Moreover, two criteria are proposed for finding a copula compatible with the given subdistributions. For estimating the subdistributions, a bilinear model is proposed. The asymptotic properties of the model’s estimators are proved. Additionally, a simulation study demonstrates the consistency of the estimators by considering both large and small sample cases. Finally, an empirical study is performed to estimate the subdistributions with static and time-varying covariates, and to identify compatible copulas under the proposed criteria. The application of the proposed method is further highlighted for determining premiums of mortgage insurance.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103227"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaoying Chen , Zhenyu Cui , Yang Yang , Zhimin Zhang
{"title":"Efficient pricing and Greeks estimation for variable annuities under a multivariate OUSV model","authors":"Shaoying Chen , Zhenyu Cui , Yang Yang , Zhimin Zhang","doi":"10.1016/j.insmatheco.2026.103220","DOIUrl":"10.1016/j.insmatheco.2026.103220","url":null,"abstract":"<div><div>As the understanding of GMxB-related risks deepens, insurance companies are increasingly seeking efficient annuity risk management systems. This paper is the first to extend the Karhunen-Loève (KL) expansion method to the pricing and Greeks estimation of the GMxB variable annuities written on multiple sub-account funds, under the multivariate Ornstein-Uhlenbeck stochastic volatility model. Additionally, the simulation-based pathwise (PW) and likelihood ratio (LR) methods are generalized for efficient Greeks computation within the multi-asset annuity framework. Through asymptotic analysis, we address a theoretical gap in the original KL expansion sampling framework. Numerical experiments demonstrate that the proposed method achieves computational efficiency and robustness, providing a practical and reliable framework for the risk management of complex multi-asset variable annuities.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103220"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuyu Gong , Zhenfeng Zou , Meng Guan , Taizhong Hu
{"title":"Generalized expected-shortfalls based on distortion risk measures","authors":"Shuyu Gong , Zhenfeng Zou , Meng Guan , Taizhong Hu","doi":"10.1016/j.insmatheco.2025.103206","DOIUrl":"10.1016/j.insmatheco.2025.103206","url":null,"abstract":"<div><div>This paper establishes explicit representations of generalized Expected-Shortfall (ES) based on a distortion risk measure with arbitrary (possibly non-differentiable) distortion function. We further derive a novel reverse generalized-ES optimization formula, which enables one to obtain closed-form solutions for the supremum value of a stop-loss random variable’s distortion risk measure over a Wasserstein-2 uncertainty set constrained by the first two moments, and exact characterization of the extremal distribution attaining this bound. The method is validated through an insurance data case study, demonstrating its applicability in risk management scenarios with distributional ambiguity.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103206"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the range of a Lévy risk process with fair valuation of insurance contracts","authors":"Mengni Yang , Mohamed Amine Lkabous , Zijia Wang","doi":"10.1016/j.insmatheco.2026.103228","DOIUrl":"10.1016/j.insmatheco.2026.103228","url":null,"abstract":"<div><div>In the context of insurance risk management, large fluctuations in the surplus process represent a critical source of risk, with implications for the financial stability and resilience of insurers. Understanding and quantifying such variability is therefore essential for assessing the financial robustness of insurers. In this paper, we investigate the range of a Lévy risk process, which captures surplus variability by tracking the difference between the running supremum and infimum within a given time horizon. We derive new fluctuation identities for the inverse range time under both continuous and Poissonian observation schemes, extending results that were previously available only for Brownian motion in the existing literature. In addition, we study the joint Laplace transform of the inverse range time and the previous extremum time. For illustration, explicit expressions are obtained for the Brownian risk process and the Cramér-Lundberg risk model with exponential claims. Finally, we apply our results to the fair valuation of insurance contracts associated with the range process.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103228"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mortality risks, survival pessimism, and subjective well-Being: Evidence from the health and retirement study","authors":"Lisa Posey , Sharon Tennyson , Nan Zhu","doi":"10.1016/j.insmatheco.2025.103204","DOIUrl":"10.1016/j.insmatheco.2025.103204","url":null,"abstract":"<div><div>The positive relationship between an individual’s subjective well-being (SWB) and their future survival prospects has been well documented. Using data from the Health and Retirement Study (HRS), we present empirical evidence of how this relationship operates through various channels. We use a two-stage approach where objective survival probability estimates derived from our first-stage Cox model are used to construct the survival bias employed as the dependent variable in the second stage, with SWB and other demographic and health-related variables being covariates in both stages. Our findings reveal that even after controlling for objective health-related factors and potential private information on health and mortality, individuals’ SWB remains as a significant factor to their objective mortality. Moreover, respondents’ SWB also affects the bias in the survival estimation—measured as the disparity between their subjective and objective survival probabilities. In particular, a higher SWB is correlated with a reduction in survival pessimism. We provide new evidence that bias in survival estimates can distort consumption and saving decisions, and provide estimates of its impact on welfare across different levels of SWB.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103204"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eric C.K. Cheung , Guo Liu , Jae-Kyung Woo , Jiannan Zhang , Dan Zhu
{"title":"Optimal periodic strategies with dividends payable from gains only","authors":"Eric C.K. Cheung , Guo Liu , Jae-Kyung Woo , Jiannan Zhang , Dan Zhu","doi":"10.1016/j.insmatheco.2025.103203","DOIUrl":"10.1016/j.insmatheco.2025.103203","url":null,"abstract":"<div><div>In this paper, we consider the compound Poisson insurance risk model and analyze the optimal dividend strategy (that maximizes the expected present value of dividend payments until ruin) when dividends can only be paid periodically as lump sums. If one makes the usual assumption that dividends can be paid from the available surplus, then the optimal strategies are often of band or barrier type, resulting in a ruin probability of one (e.g. Albrecher et al. (2011a)). As opposed to such an assumption, we propose that dividends can only be paid from a certain fraction of the gains (i.e. positive increment of the process between successive dividend decision times), and such a constraint allows the surplus process to have a positive survival probability. Some theoretical properties of the value function and the optimal strategy are derived in connection to the Bellman equation. These properties suggest that a bang-bang type of control can be a candidate for the optimal strategy, where dividend is paid at the highest possible amount as long as the surplus is high enough. The dividend function under the candidate strategy is subsequently derived under exponential inter-observation times and claims with a rational Laplace transform, and we also provide specific numerical examples with (mixed) exponential claims where the proposed strategy is optimal in such cases.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103203"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mitigating ambiguity in earthquake catastrophe insurance pricing: A model averaging and α-Maxmin approach","authors":"Yunxian Li , Xinmei Yang , Zhilan Zi , Hefei Liu","doi":"10.1016/j.insmatheco.2026.103222","DOIUrl":"10.1016/j.insmatheco.2026.103222","url":null,"abstract":"<div><div>Ambiguity poses a key challenge in the pricing of catastrophe insurance, as it leads to higher premiums compared to unambiguous risks. This paper proposes a novel approach that integrates model averaging (MA) techniques with an extended <em>α</em>-maxmin framework to address ambiguity in insurance pricing decisions. Specifically, we introduce three MA weighting strategies within a quantile regression setting to mitigate estimation uncertainty and extend the <em>α</em>-maxmin framework to formally incorporate both the insurer’s ambiguity aversion and survival constraints into the pricing process. Using earthquake loss data from China (1974-2023), we show that MA improves predictive accuracy and mitigates affordability issues by reducing ambiguity-induced premium inflation, with jackknife model averaging lowering net premiums by 15.69%. Sensitivity analyzes indicate that stronger ambiguity aversion (higher <em>α</em>), tighter survival constraints (lower <em>θ</em>), and a higher cost of capital (higher <em>δ</em>) all necessitate larger capital reserves to counter bankruptcy risk, thereby raising premiums, with the first two factors exerting a more pronounced influence. The paper offers a coherent toolkit for integrating model uncertainty into catastrophe insurance pricing with practical relevance for risk management and regulation.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103222"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Subgame perfect Nash equilibria in large reinsurance markets","authors":"Maria Andraos , Mario Ghossoub , Michael B. Zhu","doi":"10.1016/j.insmatheco.2025.103210","DOIUrl":"10.1016/j.insmatheco.2025.103210","url":null,"abstract":"<div><div>We consider a model of a reinsurance market consisting of multiple insurers on the demand side and multiple reinsurers on the supply side, thereby providing a unifying framework and extension of the recent literature on optimality and equilibria in reinsurance markets. Each insurer has preferences represented by a general Choquet risk measure and can purchase coverage from any or all reinsurers. Each reinsurer has preferences represented by a general Choquet risk measure and can provide coverage to any or all insurers. Pricing in this market is done via a nonlinear pricing rule given by a Choquet integral. We model the market as a sequential game in which the reinsurers have the first-move advantage. We characterize the Subgame Perfect Nash Equilibria in this market in some cases of interest, and we examine their Pareto efficiency. In addition, we consider two special cases of our model that correspond to existing models in the related literature, and we show how our findings extend these previous results. Finally, we illustrate our results in a numerical example.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103210"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ludovic Goudenège , Andrea Molent , Antonino Zanette
{"title":"Robust pricing of equity-Indexed annuities under uncertain volatility and stochastic interest rate","authors":"Ludovic Goudenège , Andrea Molent , Antonino Zanette","doi":"10.1016/j.insmatheco.2026.103229","DOIUrl":"10.1016/j.insmatheco.2026.103229","url":null,"abstract":"<div><div>In this paper, we propose a novel methodology for pricing equity-indexed annuities featuring cliquet-style payoff structures and early surrender risk, using advanced financial modeling techniques. Specifically, the market is modeled by an equity index that follows an uncertain volatility framework, while the dynamics of the interest rate are captured by the Hull-White model. Due to the inherent complexity of the market dynamics under consideration, we develop a numerical algorithm that employs a tree-based framework to discretize both the interest rate and the underlying equity index, enhanced with local volatility optimization. Extensive numerical experiments demonstrate the high effectiveness of the proposed algorithm, which has been tested against a machine learning-based approach and yields consistent results with substantially lower computational cost. Furthermore, the numerical framework is employed to analyze key features of the insurance contract, including the delineation of the optimal exercise region when early surrender risk is incorporated.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103229"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asymptotically unbiased estimation of the extreme value index under random censoring","authors":"Martin Bladt , Yuri Goegebeur , Armelle Guillou","doi":"10.1016/j.insmatheco.2026.103225","DOIUrl":"10.1016/j.insmatheco.2026.103225","url":null,"abstract":"<div><div>We consider bias-corrected estimation of the extreme value index of Pareto-type loss distributions in the censoring framework. The initial estimator is based on a Kaplan–Meier integral from which we remove the bias under a second-order framework. This estimator depends on a suitable external estimation of second-order parameters, which is also discussed. The weak convergence of the bias-corrected estimator is established. It has the nice property of having the same asymptotic variance as the initial estimator. This feature is illustrated in a simulation study where our estimator is compared to alternatives already introduced in the literature. Finally, our methodology is applied to a French non-life insurance dataset.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"127 ","pages":"Article 103225"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}