Abstract In this article, we consider the evolution of the post‐age‐60 mortality curve in the United Kingdom and its impact on the pricing of the risk associated with aggregate mortality improvements over time: so‐called longevity risk. We introduce a two‐factor stochastic model for the development of this curve through time. The first factor affects mortality‐rate…
Journal of Risk & Insurance Template
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About the Journal of Risk & Insurance format
Journal of Risk & Insurance is a peer-reviewed journal published by Wiley, covering Insurance and Financial Risk Management, Insurance, Mortality, Demography, Risk Management, Healthcare Policy and Management.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Risk & Insurance 12 (3): 45–58.
Formats any DOI in Journal of Risk & Insurance style. No sign-up. |
| Publishes research in | Insurance and Financial Risk Management Insurance, Mortality, Demography, Risk Management Healthcare Policy and Management Law, Economics, and Judicial Systems Financial Literacy, Pension, Retirement Analysis |
| ISSN | 0022-4367 |
| Citation impact (2-yr) | 1.98 |
| h-index | 124 |
| i10-index | 1,333 |
| Total citations | 79,893 |
| Article processing charge | $3,090 |
| Top institutions publishing here | University of Pennsylvania |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Risk & Insurance per year
Citation impact of Journal of Risk & Insurance by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Risk & Insurance
Abstract Enterprise risk management (ERM) has been the topic of increased media attention in recent years. The objective of this study is to measure the extent to which specific firms have implemented ERM programs and, then, to assess the value implications of these programs. We focus our attention in this study on U.S. insurers in…
This article uses life insurance data to estimate the Pratt-Arrow coefficient of relative risk aversion for each of nearly 2,400 households. Attitudinal differences toward pure risk are then examined across demographic subgroups. Additionally, differences in speculative risk-taking are examined across demographic groups based on survey responses and compared with the results on pure risk aversion.