| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 449 | 7 | 8 | 5 |
The journal focuses largely on the fields of Mathematical finance, Econometrics, Mathematical economics, Microeconomics and Portfolio. Studies in Mathematical finance and Computer science are the key highlights in Mathematics and Financial Economics. In the journal, Bond and Stock market are investigated in conjunction with one another to address concerns in Econometrics research.
Mathematical economics research presented in the journal encompasses a variety of subjects, including Martingale (probability theory), Class (set theory) and Brownian motion. The studies in Microeconomics featured incorporate elements of Risk aversion and Expected utility hypothesis. Portfolio optimization and Replicating portfolio are among the concentrations of Portfolio that garnered much attention in Mathematics and Financial Economics.
Topics like Optimal control, Dynamic programming and Bellman equation are tackled as part of the discussions on Mathematical optimization.
The published articles mainly deal with areas of study such as Mathematical finance, Microeconomics, Econometrics, Mathematical economics and Discrete mathematics. While the most cited publications focused on Mathematical finance, they were also able to explore topics like Mathematical optimization, Bellman equation, Representation (mathematics), Order (exchange) and High-frequency trading. The Econometrics research tackled in the journal papers is interrelated with Portfolio which concerns subjects like Cumulative prospect theory.
Mathematics and Financial Economics is organized to address concerns in the fields of Mathematical finance, Econometrics, Computer science, Systemic risk and Mathematical economics. Mathematics and Financial Economics explores topics in Mathematical finance which can be helpful for research in disciplines like Implied volatility, Shock (economics), Mathematical optimization, Portfolio and Risk management. Mathematical optimization research in Mathematics and Financial Economics involves the investigation of Portfolio optimization studies, all of which are linked to disciplines such as Investment theory, Downside risk, Constraint (information theory) and Robust optimization.
The studies in Volatility (finance) under the umbrella field of Econometrics overlap with concepts in Electricity. The Systemic risk works featured in Mathematics and Financial Economics incorporate elements from Dual representation, Monetary economics and Credit risk. Mathematics and Financial Economics focuses on Mathematical economics but the discussions also offer insight into other areas such as Financial market, Preference (economics), Arbitrage and Axiomatic system.
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 Mathematics and Financial 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 Mathematics and Financial 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, 7.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.22% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 44.44% 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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Robert Jarrow;Robert Jarrow;Sujan Lamichhane
(2021)Mark Paddrik;H. Peyton Young;H. Peyton Young;H. Peyton Young
(2021)Daron Acemoglu;Daron Acemoglu;Asuman Ozdaglar;James Siderius;Alireza Tahbaz-Salehi;Alireza Tahbaz-Salehi
(2021)Dániel Ágoston Bálint;Martin Schweizer;Martin Schweizer
(2020)Sergei Belkov;Igor V. Evstigneev;Thorsten Hens;Thorsten Hens;Le Xu
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