Time Series Forecasting for Economic and Financial Phenomena
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1088
Special Issue Editors
Interests: operations research; probability and statistics; data mining
Special Issue Information
Dear Colleagues,
The significance of time series forecasting is undoubtedly present in many fields, with the financial and economic sectors being among them. For many financial and economic phenomena, prediction of the future is of crucial importance when making decisions. The further development of the theory, models, and procedures in this extremely active field can enrich our arsenal for coping with uncertainty and other implications from such phenomena. Each phenomenon is characterized by several statistical properties and models which incorporate such properties are continuously being developed. It has been noticed, however, that while traditional time series models are still valid choices, interdisciplinary approaches are attracting the interest of researchers.
This Special Issue seeks original articles on time series forecasting and its applications in the economy and financial markets. Innovative methodological approaches for modelling economic and financial phenomena, as well as interesting empirical applications, are welcome. The use of statistical methods and machine learning approaches are both of interest. The topics may include, but are not limited to, the development and application of time series models and methods for describing and forecasting phenomena such as unemployment, economic development, GDP, stock markets, commodity markets, betting markets, economics of happiness, social and solidarity economy, asset and derivative pricing, and risk management.
Dr. Sophia Daskalaki
Dr. Christos Katris
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- time series models
- time series econometrics
- financial econometrics
- application of time series to real-world problems
- time series forecasting
- time series analysis
- machine learning in forecasting
