0515-0361
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/astin-bulletin-journal-of-the-iaa
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 300 | 11 | 29 | 8 |
Astin Bulletin investigates areas of study like Actuarial science, Econometrics, Applied mathematics, Statistics and Mathematical economics. While work presented in the journal provided substantial information on Actuarial science, it also covered topics in Solvency and Portfolio. Issues in Econometrics were discussed, taking into consideration concepts from other disciplines like Credibility and Estimator.
It links adjacent topics like Applied mathematics with Poisson distribution. In particular, the Poisson distribution works presented emphasize discussions on Compound Poisson process. It blends together research topics in Ruin theory and First-hitting-time model.
The published articles cover a variety of subjects, including Econometrics, Actuarial science, Applied mathematics, Mathematical economics and Reinsurance. The journal papers deal with Econometrics in conjunction with Zero-inflated model and similar fields in Tweedie distribution and Compound Poisson distribution. In addition to Actuarial science research, the journal publications aim to explore topics under Financial economics, Portfolio and Risk management.
Astin Bulletin facilitates discussions on Econometrics, Actuarial science, Portfolio, Statistics and Mortality rate. It focuses on Econometrics but the discussions also offer insight into other areas such as Capital requirement, Longevity risk, Estimator, Range (statistics) and Expected shortfall. While Actuarial science is the focus of it, it also provided insights into the studies of Incentive compatibility and Diversification (finance).
The studies in Portfolio featured incorporate elements of Measure (mathematics), Parametric statistics, Interest rate and Systemic risk. The journal addresses concerns in Mortality rate which are intertwined with other disciplines, such as Deep learning, Common factor model, Neighbourhood effect and Lagging. In the journal, Reinsurance and Mathematical optimization are investigated in conjunction with one another to address concerns in Function (mathematics) research.
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 Astin Bulletin (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 Astin Bulletin (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, 36.36% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.05% of all publications and 42.86% 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.
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(2020)Donatien Hainaut;Michel Denuit
(2020)Han Lin Shang;Steven Haberman
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