High-Frequency Data Econometrics

Up-coming BigDataFinance training event: High-Frequency Data Econometrics Date: 26-29 September 2016 Location: Aarhus University Price: 0 DKK / 1000 DKK (see below) ECTS: 4 Click HERE for registration and more information

07.07.2016 Read more

Data Science in Finance..

Registration is now open for the first BigDataFinance training event, ..

07.07.2016 Read more

TWO POSITIONS AVAILABLE AT THE UNIVERSIT..

CALL CLOSED   Marie Curie ITN Early Stage Researchers in “Data ..

14.04.2016 Read more

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

Two positions available at IJS

  CALL CLOSED Jožef Stef..   CALL CLOSED Jožef Stefan Institute (JSI) is the leading research institu..

13.04.2016 Read more

Giorgio Mirone from Aarhus University

”Developing new tools to.. ”Developing new tools to draw inference from high-frequency data and news ..

12.04.2016 Read more

Chiara Perillo from University of Zurich

” I am very enthusiastic.. ” I am very enthusiastic about the idea of combining Big Data techniques a..

08.04.2016 Read more

Adamantios Ntakaris from Tampere University of Technology

”The dynamic environment.. ”The dynamic environment of the Signal Processing Department at the Tamper..

08.04.2016 Read more

Kestutis Baltakys from Tampere University of Technology

”BigDataFinance is an in.. ”BigDataFinance is an incredible opportunity to focus on the research̶..

07.04.2016 Read more

Martin Magris from Tampere University of Technology

  ”Being part of th..   ”Being part of this project is a long-term investment on yourself&#..

07.04.2016 Read more

Beneficiaries

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Partners

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