0167-6687
Published by: Elsevier
https://www.journals.elsevier.com/insurance-mathematics-and-economics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 161 | 16 | 44 | 13 |
| Mathematics | 318 | 18 | 27 | 9 |
Insurance Mathematics & Economics tackles a plethora of topics, such as Actuarial science, Econometrics, Applied mathematics, Mathematical economics and Statistics. Topics in Actuarial science explored in the journal were investigated in conjunction with research in Pension and Portfolio. It explores topics in Econometrics which can be helpful for research in disciplines like Credibility, Poisson distribution, Estimator, Multivariate statistics and Interest rate.
The research on Applied mathematics tackled can also make contributions to studies in the areas of Discrete mathematics, Distribution (mathematics) and Mathematical optimization. General insurance and Auto insurance risk selection are all aspects of Insurance policy research featured in it. While it primarily focused on Ruin theory, it also opened dialogues on the discipline of First-hitting-time model.
The journal papers mainly deal with areas of study such as Actuarial science, Econometrics, Mathematical economics, Ruin theory and Statistics. The most cited publications with studies in Actuarial science featured incorporate elements of Valuation (finance), Interest rate and Portfolio. While the journal articles focused on Econometrics, they were also able to explore topics like Poisson distribution, Risk measure and Longevity risk.
Insurance Mathematics & Economics investigates areas of study like Econometrics, Actuarial science, Applied mathematics, Investment (macroeconomics) and Longevity risk. It aims to bridge the gap between the study of Econometrics and Context (language use). The study of Actuarial science encompasses disciplines such as Valuation (finance), as well as fields such as Financial risk, Stochastic game, Asian option and Value (economics), all of which overlap with one another.
The research on Applied mathematics featured in Insurance Mathematics & Economics combines topics in other fields like Laplace transform, Estimator, Consistency (statistics), Differentiable function and Monte Carlo method. The work on Investment (macroeconomics) tackled in the journal brings together disciplines like Life insurance, Consumption (economics) and Asset (economics). It investigates Longevity risk in the context of the closely related subject of areas like
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Insurance Mathematics & Economics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Insurance Mathematics & Economics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 6.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.71% of all publications and 35.59% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Another important facet to consider when analyzing the research topics in Insurance Mathematics & Economics is the academic path one needs to follow in order to contribute to this field. Launching into academia is no easy feat and it involves understanding intricate theoretical concepts, garnering practical experience and in many cases, obtaining higher professional certification. In the U.S, a common certification necessary for deep insurance and financial specialization is the Certified Public Accountant (CPA). For instance, in New Jersey, the journey to publication in academic journals like Insurance Mathematics & Economics may sometimes pass through the path of becoming a CPA. The certification is a rigorous program which equips individuals with a robust understanding of Statistics, Econometrics, Applied Mathematics among others. For individuals considering this path, you can learn more about how to become a cpa in new jersey. This link provides comprehensive information on the steps and educational paths towards becoming a CPA in New Jersey. This academic and professional path, although it appears laborious, is well-rewarded by the possibility of contributing to academic research and potentially becoming part of the authors listed in renowned journals like Insurance Mathematics & Economics.
Jorge Miguel Bravo;Mercedes Ayuso;Robert Holzmann;Robert Holzmann;Edward Palmer
(2021)Michel Denuit;Arthur Charpentier;Julien Trufin
(2021)Michel Denuit;Christian Y. Robert
(2021)Moshe A. Milevsky
(2020)Xiaoqing Liang;Zhibin Liang;Virginia R. Young
(2020)Danping Li;Virginia R. Young
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