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

21.09.2016 Read more

James Hodson from Jožef Stefan Institu..

”I want to dive deeper into the mechanisms that drive informatio..

21.09.2016 Read more

Ioannis Anagnostou from ING Groep N.V...

”BigDataFinance brings together researchers from across the worl..

07.09.2016 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.


Rytis Simanaitis from The University of Manchester

”I am very excited to pa.. ”I am very excited to participate in the BigData Finance project and to wo..

07.09.2016 Read more

Sergio Garcia Vega from The University of Manchester

”I applied to BigDataFin.. ”I applied to BigDataFinance project because the challenge of solving real..

07.07.2016 Read more

Data Science in Finance

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

07.07.2016 Read more


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

14.04.2016 Read more

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


TUT logo ING_logo.hd UZH logo JSI_logo AB corp logo Creates logo logo-university-of-manchester


logo_IPS bloomberg_logo techila logo olsen logo uva-logo aalto uni logo NAG Logo