Bigdatafinance

bigdatafinance 2015–2019, a h2020 marie sklodowska-curie innovative training network “training for big data in financial research and risk management”, provides doctoral training in sophisticated data-driven risk management and research at the crossroads of finance and big data for 13 researchers. the main objectives are: • to meet an increasing commercial demand for well-trained researchers experienced in both big data techniques and finance and • to develop and implement new quantitative and econometric methods for empirical finance and risk management with large and complex datasets. to achieve the objectives, the emphasis is put on exploiting big data techniques to manage and use datasets that are too large and complex to process with conventional methods. banks and other financial institutions must be able to manage, process, and use massive heterogeneous data sets in a fast and robust manner for successful risk management; nonetheless, financial research and training has been s