Financial Innovation welcomes submissions to the Workshop on Internet and BigData Finance.
In a 2013 study, IBM found that 71 percent of the banking and financial firms report that the use of big data and Internet analytics is creating a competitive advantage for their organizations, a 97 percent increase in just two years. Big data and Internet analytics are especially promising and differentiating for financial service companies as data is one of arguably their most important assets in financial services. The question for many of the financial firms is how to harvest and leverage big data and Internet analytics to gain a competitive advantage. This workshop provides a forum on research and applications of Internet finance enabled by big data. We solicit research and industrial papers that present fresh innovative ideas and insights in new applications and frameworks transforming the way financial services are offered in the Internet age.
Potential topics include but are not limited to:
- Best financial practices in big data implementation
- Big data for corporate finance
- Big data for financial risk management
- Big data for portfolio analysis
- Big data visualization for finance
- Bitcoin and virtual money
- Complex analytics in big data
- Data quality for complex financial applications
- Detecting abnormality in big data
- Fraud detection in big data
- Integration of structured and unstructured financial data
- Internet insurance
- Mobile payment technologies
- Network analytics in finance
- Scalable cloud data for finance
- Security control in big data finance
Submission Instructions
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Financial Innovation. The complete manuscript should be submitted through the Financial Innovation submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic series in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the Workshop on Internet and BigData Finance. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Lead Guest Editor
J Leon Zhao, City University of Hong Kong, Hong Kong
Guest Editors
Le Le Kang, Nanjing University, China
Submissions will also benefit from the usual advantages of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact editorial@jfin-swufe.com.
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