Computational and Applied Mathematics in Financial Engineering

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 612

Special Issue Editors


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Guest Editor
Department of Digital Content Applications and Management, Wenzao Ursuline University of Languages, Kaohsiung 80793, Taiwan
Interests: data mining (machine learning and artificial intelligence); soft computing; financial engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Sport Information & Communication, National Taiwan University of Sport, Taichung, Taiwan
Interests: virtual reality; augmented reality; game-based learning; big data; fuzzy time series; data mining; soft computing; artificial intelligence

Special Issue Information

Dear Colleagues,

In recent years, with the rapid rise of artificial intelligence (AI) applications, the highly evolved technology that is offered through AI helps to significantly improve a wide range of financial services. As is known, “Financial engineering” uses tools and knowledge from computer science, statistics, economics, and applied mathematics to address current financial issues, as well as to devise new and innovative financial products. To discover novel computational and mathematics models/algorithms, in this Special Issue, we will collect papers related to the patterns, algorithms, and applications of artificial intelligence in the area of financial engineering. Relevant topics include, but are not limited to, the following:

Methodology:

  • Algebra and algebraic logic;
  • Computational paradigms and computational complexity;
  • Description logic, temporal logic, dynamic logic, and modal logic;
  • Domain theory and type theory;
  • Fuzzy logic, fuzzy set theory, and many-valued logic;
  • Substructural logic;
  • Probability logic, belief functions, etc.

Information technology:

  • Intelligent systems;
  • Genetic algorithms and modelling;
  • Fuzzy logic and approximate reasoning;
  • Artificial neural networks;
  • Expert and decision support systems;
  • Learning and evolutionary computing;
  • Expert and decision support systems, etc.

The applications include the following possible issues in the financial area:

  • Stock market forecasting;
  • Investment management and robo-advisors;
  • Customer credit rating;
  • Payment and insurance;
  • Deposits and lending;
  • Capital raising;
  • Market provisioning, etc.

Dr. Tai-Liang Chen
Dr. Jing-Wei Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • stock market forecasting model
  • derivatives trading modeling
  • financial risk management model
  • FinTech business models
  • time-series model

Published Papers

There is no accepted submissions to this special issue at this moment.
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