Winter School on Complex Financial Networks

The next BigDataFinance training event, ”Winter School on Complex networks in finance”, will be organised Monday 9th –Friday  13th  January 2017 at University of Zürich – read more: http://www.finexus.uzh.ch/en/events/bigdatafinance-school.html  

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ESR1: Sergio Garcia Vega from The Univer..

Sergio Garcia Vega  is based at The University of Manchester 2016-201..

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ESR2: Adamantios Ntakaris from Tampere U..

Adamantios Ntakaris is based at Tampere University of Technology 2016-..

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big data in finance

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

i) to meet an increasing commercial demand for well-trained researchers experienced in both Big Data techniques and Finance and

ii) 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 slow to address the data revolution.

Compared to the USA, Europe is still at an early stage of adopting Big Data technologies and services. Immediate action is required to seize opportunities to exploit the huge potential of Big Data within the European financial world. This world-class network consists of eight academic participants and six companies, representing banks, asset management companies, and data and solution providers.

The proposed research is relevant both academically and practically, because the program is built around real challenges faced both by the academic and private sector partners. To bridge research and practice, all researchers contribute to the private sector via secondments. BigDataFinance provides the European financial community with specialists with state-of-the-art skills in finance and data-analysis to facilitate the adoption of reliable and realistic methods in the industry. This increases the financial strength of banks and other financial institutions in Europe.

Archives

ESR3: James Hodson from Jožef Stefan Institute

James Hodson is based at Jože.. James Hodson is based at Jožef Stefan Institute 2016-2019, and his research pro..

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ESR4: Kestutis Baltakys from Tampere University of Technology

Kestutis Baltakys is based at .. Kestutis Baltakys is based at Tampere University of Technology 2016-2019, and hi..

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ESR5: Chiara Perillo from University of Zurich

Chiara Perillo is based at Uni.. Chiara Perillo is based at University of Zurich 2016-2019, and her research proj..

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ESR6: Ye Zeng from Aarhus University

Ye Zeng is based at Aarhus Uni.. Ye Zeng is based at Aarhus University 2016-2019, and his research project is Mod..

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ESR7: Giorgio Mirone from Aarhus University

Giorgio Mirone is based at Aar.. Giorgio Mirone is based at Aarhus University 2016-2019, and his research project..

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ESR8: Martin Magris from Tampere University of Technology

Martin Magris is based at Tamp.. Martin Magris is based at Tampere University of Technology 2016-2019, and his re..

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Beneficiaries

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