1748-4995
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/annals-of-actuarial-science
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 343 | 10 | 17 | 7 |
The discussions in Annals of Actuarial Science mainly cover the fields of Actuarial science, Econometrics, Statistics, Pension and Law and economics. The concepts on Actuarial science presented in it can also apply to other research fields, including Payment and Equity (finance). While Econometrics is the focus of Annals of Actuarial Science, it also provided insights into the studies of Stochastic modelling, Economic model, Mortality rate, Life expectancy and Bayesian probability.
Law and economics research discussed connects with the study of Humanities.
The journal publications focus on Econometrics, Actuarial science, Statistics, Ruin theory and Bayesian probability. The most cited publications with studies in Econometrics featured incorporate elements of Poisson regression, Chain-ladder method, Poisson distribution, Calibration (statistics) and Life expectancy. The most cited publications explore topics in Life expectancy which can be helpful for research in disciplines like Estimation, Lee–Carter model and Point forecast.
Econometrics, Actuarial science, Statistics, Multivariate statistics and Artificial intelligence are among the topics commonly tackled in Annals of Actuarial Science. The studies on Econometrics discussed can also contribute to research in the domains of Life insurance, Hurst exponent, General insurance, Bayesian probability and Count data. It deals with Hurst exponent in conjunction with Estimation and similar fields in Life expectancy.
The research on Actuarial science tackled can also make contributions to studies in the areas of Poisson lognormal, Credibility, Equity (finance) and Long-term care. The presented studies in Conditional expectation, P splines and Joint (audio engineering) fall within the purview of Statistics but it also intertwines with topics in Risk sharing. The work on Multivariate statistics tackled in Annals of Actuarial Science brings together disciplines like Inference, Cluster analysis, Internal model, Joint probability distribution and Cyber-Insurance.
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 Annals of Actuarial Science (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 Annals of Actuarial Science (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, 53.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 16.67% 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.
While our detailed exploration of the topics covered in the Annals of Actuarial Science provides a wealth of theoretical insights, it is equally important to understand how these theories translate into practical applications in various fields. Notably, the principles of actuarial science find real-world utility in areas like insurance, finance, and risk management.
For instance, professionals in these fields may use actuarial science to predict and manage potential risks. By analyzing data patterns and utilizing complex mathematical models, analysts can forecast future events and thereby reduce potential losses. This is particularly significant in the context of insurance, where accurate risk assessment is critical for setting premiums and maintaining financial stability.
Moreover, gaining an in-depth understanding of actuarial science opens up a career path to becoming a Certified Public Accountant (CPA), particularly in states like Georgia where there is a high demand for such professionals. A solid foundation in actuarial science can provide the necessary skills for a CPA to success in areas like tax management, auditing, and financial reporting. Acquiring a relevant degree from reputable accounting schools in Georgia can be a significant step toward becoming a CPA in the state. For more details on how to embark on this career path, you can refer to our comprehensive guide on how to be a CPA in Georgia.
In conclusion, while the Annals of Actuarial Science offers invaluable examination and exploration of its eponymous subject, understanding its practical application in the real world adds another layer of value to these studies. As such, students, professionals, and researchers can all leverage these insights for their respective academic and professional advantages.
Jie Wen;Andrew John George Cairns;Torsten Kleinow
(2021)Kevin Dowd;Andrew J. G. Cairns;David Blake
(2020)Andrew Hunt;David Blake
(2020)Florian Pechon;Michel Denuit;Julien Trufin
(2021)Andrew Hunt;David Blake
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