Special Issue "Data Analysis for Financial Markets"
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: 31 October 2019
Dr. Francisco Guijarro
Universitat Politècnica de València -- Faculty of Business Administration and Management, Universitat Politècnica de València, València, Spain
Data analysis plays a key role in the decisions made by participants in financial markets. Rapid advances in computing high amounts of data from stock exchanges has enabled the design of algorithms, which currently leads a considerable proportion of volume in international stock markets. Important research has recently addressed different approaches to take advantage of intraday data, but also any information provided by countless websites, post on Twitter, corporate reports, or daily news announcements. Extracting insight from unstructured data is also part of ongoing research.
This Special Issue will contribute to bring original research in the field of data analysis in financial markets. Suitable topics include, but are not limited to, the following: Big Data, business intelligence, sentiment analysis, text mining, financial volatility, real-time analytics, machine learning, fraud detection, operational efficiency, financial trading, high-frequency data, trading rules, stock markets, bankruptcy, and financial shocks.
Prof. Dr. Francisco Guijarro
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 papers will be 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. Data is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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.
- algorithmic trading
- Big Data analysis
- stock markets
- financial risks