Insurance: Mathematics and Economics
Journal Title
- Insurance: Mathematics and Economics
ISSN
- E 1873-5959 | P 0167-6687 | 0167-6687 | 1873-5959
Publisher
- Elsevier BV
- Elsevier
Listed on(Coverage)
| JCR | 1997-2012;2014-2019 |
|---|---|
| SJR | 1999-2019 |
| CiteScore | 2011-2019 |
| SCIE | 2010-2021 |
| CC | 2016-2021 |
| SSCI | 2010-2021 |
| A & HCI | 2010 |
| SCOPUS | 2017-2020 |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- NETHERLANDS
Aime & Scopes
- Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world. Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered. The subject matter of the journal includes the theory, models and methods of life insurance (including pension systems, social insurance, and health insurance), of non-life insurance, and of reinsurance and other risk-sharing arrangements. It also includes innovative insurance applications of results from related fields, such as probability and statistics, computer science and numerical analysis, quantitative economics, mathematical finance, operations research and management science, and, in particular, quantitative risk management.