This special issue is an attempt to explore and bring together methodological and practical studies dealing with the use of big data in finance. It also welcomes the exploration of suitable software solutions to extract, process and exploit big data in financial contexts, as well as applications of big data methodologies for forecasting purposes.
Suitable topics include, but are not limited to, the following:
- Computational methodologies for big data in finance
- Trading and machine-learning algorithms
- Software solutions to extract, process and exploit big data in finance
- Simulation methods for big data in finance
- Forecasting of financial trends through the use of big data
- Micro-structure applied to finance using big data
- Applications of big data methodologies to the foreign exchange market
- Applications of big data methodologies to the stock market
- Applications of big data methodologies to monetary policies
- Applications of big data methodologies to financial derivatives
Important Dates
Submission of Manuscripts: 31 January, 2016
Notification to Authors: 31 March, 2016
Final Versions Due: 28 May, 2016
Notification to Authors: 31 March, 2016
Final Versions Due: 28 May, 2016
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