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Big Data in Finance - BigDataFinance Skip to content Menu Home People Projects Research Publications Beneficiaries & Partners Events BigDataFinancePrimingTraining Event on Textual Data in Finance Data Science in Finance High-Frequency Data Econometrics Winter School onRamifiednetworks in finance Blog Contact Volatility seasonality of Bitcoin prices “Learning properties of Bitcoin and other cryptocurrencies and confronting them to the features of traditional markets we contribute to the world where “finance” is a synonym of “democracy”.” BigDataFinance Early Stage Reasearch Vladimir Petrov, based at Univeristy of Zürich, and Anton Golub, Co-founder and Chief Science Officer at Lykke Corp, discuss Bitcoin’s seasonal volatility in their vendible […] 21.06.2018 Read increasingly BigDataFinance protagonist at the 6th Li.. ESR Chiara Perillo from University of Zurich shared the stage with Nob.. 08.03.2018 Read increasingly BigData wringer of financial interconne.. The pursuit blog vendible is based on the opening statements delivere.. 15.01.2018 Read increasingly 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 ramified datasets. To unzip the objectives, the accent is put on exploiting big data techniques to manage and use datasets that are too large and ramified to process with conventional methods. Banks and other financial institutions must be worldly-wise 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 write the data revolution. Compared to the USA, Europe is still at an early stage of raising Big Data technologies and services. Immediate whoopee 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 wonk participants and six companies, representing banks, windfall management companies, and data and solution providers. The proposed research is relevant both academically and practically, considering the program is built virtually real challenges faced both by the wonk and private sector partners. To underpass research and practice, all researchers contribute to the private sector via secondments. BigDataFinance provides the European financial polity 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. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant try-on No 675044.   Popular tags algorithms deject priming corporate ownership data econometric models ESR extracted knowledge finance financial slipperiness financial markets financial volatility job recruitment research risk management self-data velocity volatility volume News 4th INTERNATIONAL WINTER SCHOOL ON BIG DATA | BigDat 2018 | Timisoara, Romania | January 22-26, 2018 2nd InternationalPrimingon Computational Finance BDE Hangout: New General Data Protection Regulation Adopted, 25.5.2016 Archives Scientific paper receives multiple prizes The scientific paper entitled�.. The scientific paper entitled “Trading on Talent: Human Capital and Firm Perf.. 05.12.2017 Read increasingly The Order Book: A Challenge For Tomorrow’s Econometrics The modeling of the order book.. The modeling of the order typesetting is certainly one of the major chal- lenges for th.. 26.11.2017 Read increasingly A unenduring introduction to Big Data and Signal Processing The upturned nature of financia.. The upturned nature of financial big datasets requires in depth wringer of their.. 13.11.2017 Read increasingly BigDataFinancePriming– Presentations Available! BigDataFinance priming pres.. BigDataFinance priming presentations from Oct 4th and 5th 2017 are now ava.. 19.10.2017 Read increasingly Mid-Term Review Meeting 6th of October Mid-term review meeting for Bi.. Mid-term review meeting for BigDataFinance project consortium members When 6th o.. 05.10.2017 Read increasingly BigDataFinance conference: register by 1st of October!   BigDataFinance Conferen..   BigDataFinancePrimingBring Three, Go Free! Bring withal three colleag.. 29.09.2017 Read increasingly Beneficiaries Partners Copyright BigDataFinance 2017 | All rights reserved | Login WordPress Download Manager - Best Download Management Plugin Close