HPC-BAFA 2016 - 3rd International Workshop on High-Performance and Distributed Computing for Business Analytics and Financial Applications (HPC-BAFA 2016)

The use of computational methods to support applications in economics, finance and management is now well-established. HPC, data-mining and data-warehousing, distributed computing techniques are playing a central role in the fast growing body of interactions between financial activity, information providers and social interaction networks.
The HPDBA workshop is intended to promote interaction between research academics and industry specialists to share views and compare technical developments on their relative merits for computer-based business analytics systems.
The HPDBA Workshop topics include (but are not limited to) the following:
Real-time Computing for Business and Finance
Stream-processing for Trading Systems
Market Microstructure
Data Analytics for Financial Applications
Business Intelligence Analytics
Stochastic Control
Parallel Computing for Financial Models
Financial Libraries
Genetic and Computational Algorithms for Finance
Efficient Mapping of Business and Financial Applications to Parallel Systems
Very-large Datasets, Data-mining
High-frequency Trading
Financial Econometrics
Financial Forecasting
Risk Management Systems
Fast Algorithms for Trading and High Frequency Risk Management
Economic and Financial Networks
Firm Operations and Management
High-bandwidth/Low-latency Streaming of Market Data
Large Production Systems, Supply Chains
Crowdsourcing, Crowdfunding
Government and the Public Sector
Computational Methods for Insurance and Actuarial Valuation
Stock Market Applications and Tools