Feature Paper Special Issue: Quantitative Finance
Special Issue Information
Dear Colleagues,
We are publishing a special issue on Quantitative Finance. Through this issue, we aim to attract papers covering the myriad facets in the analysis and modeling of financial data, events, and phenomena, including:
- Statistical analysis and modeling
- Machine learning methods
- Mathematical modeling
- Statistical physics modeling
- Optimization algorithms
- Other relevant methods
Timewise, we shall accept papers from as early as September 2021, until 1 March 2022. All qualified papers passing the rigorous peer-review process will be published online, free of charge, and with open access. Qualified papers will be published sequentially in this Special Issue. This way, early submissions can be published without delay. We are looking forward to your submission in this increasingly important field.
Prof. Dr. Gareth W. Peters
Prof. Dr. Damien Challet
Prof. Dr. Hongsong Yuan
Prof. Dr. Paweł Polak
Prof. Dr. Min Shu
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Stats 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 1600 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
- statistical analysis and modeling
- machine learning methods
- mathematical modeling
- statistical physics modeling
- optimization algorithms
- other relevant methods
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Published Papers
Stats - ISSN 2571-905X