Within the last years, research in advanced computational methods has delivered new instruments, models, approaches and knowledge which can be applied to a large range of problems in finance and economics. The complexity of solving these issues includes enormous financial engineering challenges in diverse areas (e.g. portfolio selection, global trading and risk management among others). Additionally, the vast amount of data involved in these methods plays an important role in bringing value to inter-disciplinary research teams. Developing advanced and sophisticated financial models based on the Big Data perspective is not trivial due the magnitude of the impact on global markets, policy makers, banking sector, etc. These challenges demand the development of new methods and approaches that could evolve the Computational Finance domain supported by Big Data technologies. This special session aims at gathering not only leading researchers, but also young researchers as well as practitioners who do research on Computational Finance and Big Data and their applications.

Researchers are hereby invited to submit a full paper (5-6 pages) detailing their research, or a short paper (max 4 pages) describing their work-in-progress. All submitted papers will be subject to peer reviewing by at least two reviewers for technical merit, significance and relevance to the topics. Further information is available from the CEEC 2016 website http://www.ceec.uk. Submission implies the willingness of at least one author per paper to register, attend the conference and present the paper. Proceedings will be published on IEEE Xplore. Authors of selected articles will be invited to submit an extended version to a Special Issue of the Computers journal (http://www.mdpi.com/journal/computers/special_issues/ceec_2016).

This special session welcomes submissions of computational methods applied (but not limited) to the following topics:

Arbitrage Pricing Theory
Financial Markets Infrastructures
Financial Physics
Forecasting and Market Prediction
Genetic Models in Economics and Finance
High Frequency Trading
Macroeconomic Dynamics
Market Efficiency and Behavioural Finance
Monetary Policies
Portfolio Optimization and Analysis
Price Movements in Financial Markets
Pricing and Complexity in Derivatives
Quantitative Finance
Risk Management
Simulation Models for Economics and Finance
Stochastic Programming Models
Volatility Modelling
Big Data Analytics, Metrics and Visualisation
Big Data Applications on Banking
Big Data Architectures and Models
Big Data Platforms and Security
Cloud Computing Techniques for Big Data
Machine Learning based on Big Data
Next-generation Big Data Applications