Special Issue on Wider Thoughts on the Application of Data Mining Tools and Predictive Modelling in Finance

Submission Deadline: Dec. 20, 2020

Please click the link to know more about Manuscript Preparation: http://www.ajdmkd.org/submission

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Leonard Mushunje
      Department of Applied Mathematics, Midlands state university, Senga, Midlands, Zimbabwe
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Maxwell Mashasha
      Midlands State University, Gweru, Midlands, Zimbabwe
    • Fastel Chipepa
      Midlands State University, Gweru, Midlands, Zimbabwe
    • Marx Dambaza
      Midlands State University, Senga, Midlands, Zimbabwe
    • Cyril Murewi
      Midlands State University, Gweru, Midlands, Zimbabwe
    • Adrian Mutize
      Midlands State University, Senga, Midlands, Zimbabwe
    • Charlom Magwaniza
      Nyahuni Adventist High School, Murehwa, Zimbabwe
  • Introduction

    This issue is intended to publish papers in the related field of finance which portrays an idea of data mining and big data analytics. Data mining is a concept which is applied to big data so as to draw hidden patterns and to draw significant conclusions from such patterns. These patterns maybe of great use in the field of finance and economics if treated in a good manner which we want to emphasis on. For great instance, visible and powerful decisions can be made based on such patterns up to the level of sustaining and supporting the survivability of firms in Finance. Of course finance is a broad subject but data mining seem to be relevant due to short time increases of data within the field and other related areas like investment, economics, online trading among others. This issue at large aims to apply data mining tools, mathematics, statistics and physics modeling techniques to make some useful predictive modelling. We are sure these applications to finance are of noble use. Therefore, this issue is welcoming all related articles and contributions for publication.
    Aims and Scope:
    1. Application of data mining tools to finance.
    2. Application predictive models to financial economics.
    3. Risk management, actuarial decision makings, insurance and accounting procedures involving big data to be set and led at a better pace with new modelling developments that makes everything easy with high quality
    4. Financial market movement analysis improvement and in-depth analysis.
    5. The unfailing role of big data on business life and decision making processes using big data available.
    6. To bring the value and role of Data scientists and analysts, mathematicians and Quants on clear and open ground.

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajdmkd.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.