The journal encourages the confident use of applied mathematics and mathematical modelling in finance. The journal publishes papers on the following:
modelling of financial and economic primitives (interest rates, asset prices etc);
modelling market behaviour;
modelling market imperfections;
pricing of financial derivative securities;
hedging strategies;
numerical methods;
financial engineering.
The journal encourages communication between finance practitioners, academics and applied mathematicians. Both theoretical and empirical research are welcomed, as are papers on emerging areas of mathematical finance and interdisciplinary topics. The journal seeks papers reviewing the development of significant practical tools, algorithms and new products.The modelling or solution of problems should demonstrate the capacity for generalization. Original and substantial pieces of research resulting in open problems are welcome; this will also be a forum for the airing of new problems and new areas of activity.
Journal metrics
Usage
30K annual downloads/views
Citation metrics
2.3 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
0.623 (2023) SNIP
0.474 (2023) SJR
Speed/acceptance
0 days avg. from submission to first
decision
11% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Igor Cialenco -Illinois Institute of Technology, USA
Zachary Feinstein -Stevens Institute of Technology, USA
Peter Forsyth - University of Waterloo, Canada
Paolo Guasoni - Dublin City University, Republic of Ireland and Boston University, USA
Olivier Gueant -Paris-Sorbonne University, France
Rüdiger Kiesel -University of Duisburg-Essen, Germany
Petter Kolm -New York University, USA
Roger Lee - University of Chicago, USA
Tim Leung -University of Washington, USA
Matt Lorig - University of Washington, USA
Johannes Muhle-Karbe - Imperial College London, UK
Christoph Reisinger -University of Oxford, UK
Silvana Pesenti -University of Toronto, Canda
Andrea Roncoroni -ESSEC Business School, France
Johannes Ruf - London School of Economics, UK
Yuri Saporito - Fundação Getulio Vargas, Brazil
Mykhaylo Shkolnikov -Princeton University, USA
Ronnie Sircar - Princeton University, USA
Konstantinos Spiliopoulos - Boston University, USA
Lukasz Szpruch - The University of Edinburgh, UK
Luitgard A. M. Veraart - London School of Economics, UK
Renyuan Xu - University of Southern California, USA
Stefan Zohren - University of Oxford, UK
Updated 13-11-2020
Abstracting and indexing
Applied Mathematical Finance is currently abstracted and indexed in IBZ (International Bibliography of Periodical Literature), Journal of Economic Literature (Econlit), Finance Literature Index, EBSCO (Business Source Corporate, Business Source Elite, Business Source Premier, TOC Premier), OCLC ArticleFirst Database, OCLC FirstSearch Electronic Collections Online, Zentralblatt Math, MathSciNet, Mathematical Reviews and Scopus.
Open access
Applied Mathematical Finance is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
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