Model risk in mortality-linked contingent claims pricing

被引:0
|
作者
Peters, Gareth W. [1 ]
Yan, Hongxuan [2 ,3 ]
Chan, Jennifer [4 ]
机构
[1] Univ Calif Santa Barbara, Dept Stat & Appl Probabil, Santa Barbara, CA 93106 USA
[2] China Secur Regulatory Commiss, China Inst Finance & Capital Markets, Focus Pl,19 Jin Rong St, Beijing 100033, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China
[4] Univ Sydney, Sch Math & Stat, Carslaw Bldg,Eastern Ave, Camperdown, NSW 2006, Australia
来源
JOURNAL OF RISK MODEL VALIDATION | 2022年 / 16卷 / 03期
关键词
model risk; long memory; stochastic mortality model; Bayesian inference; annuity pricing; guaranteed annuity option; LEE-CARTER MODEL; STOCHASTIC MORTALITY; CORRELATED MORTALITY; VALUATION; SECURITIES;
D O I
10.21314/JRMV.2022.022
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Pricing mortality-linked contingent claims depends critically on the ability to accurately model three core stochastic components: expected mortality rates and life expectancy by age group, for a given population; interest rate dynamics over various time horizons; and the causal relationship between mortality events and interest rate fluctuations. In each of these components, there is potential for model misspecification that manifests as model risk and may result in mispricing. We study the influence of model risk on pricing life products, including annuity portfolios and guaranteed annuity options. We demonstrate that classical Lee-Carter-type models can produce less accurate model forecasts than our proposed multivariate long-memory models and we quantify the mispricing cost of this model risk.
引用
收藏
页码:1 / 53
页数:53
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