bigdatafinance.eu - Beneficiaries & Partners









Search Preview

Beneficiaries & Partners - BigDataFinance

bigdatafinance.eu
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.
.eu > bigdatafinance.eu

SEO audit: Content analysis

Language Error! No language localisation is found.
Title Beneficiaries & Partners - BigDataFinance
Text / HTML ratio 30 %
Frame Excellent! The website does not use iFrame solutions.
Flash Excellent! The website does not have any flash contents.
Keywords cloud research financial University data computing Science Research Department services Olsen NAG UK global Computer researchers management international Group finance largest
Keywords consistency
Keyword Content Title Description Headings
research 21
financial 12
University 11
data 9
computing 9
Science 8
Headings
H1 H2 H3 H4 H5 H6
1 2 1 1 0 0
Images We found 14 images on this web page.

SEO Keywords (Single)

Keyword Occurrence Density
research 21 1.05 %
financial 12 0.60 %
University 11 0.55 %
data 9 0.45 %
computing 9 0.45 %
Science 8 0.40 %
Research 8 0.40 %
Department 8 0.40 %
services 7 0.35 %
Olsen 7 0.35 %
NAG 7 0.35 %
UK 7 0.35 %
global 6 0.30 %
Computer 6 0.30 %
researchers 6 0.30 %
management 6 0.30 %
international 6 0.30 %
Group 6 0.30 %
finance 6 0.30 %
largest 5 0.25 %

SEO Keywords (Two Word)

Keyword Occurrence Density
of the 15 0.75 %
in the 11 0.55 %
University of 8 0.40 %
Department of 7 0.35 %
one of 6 0.30 %
Computer Science 6 0.30 %
by the 5 0.25 %
of Manchester 4 0.20 %
Signal Processing 4 0.20 %
is a 4 0.20 %
at the 4 0.20 %
the largest 4 0.20 %
the UK 4 0.20 %
research and 3 0.15 %
The department 3 0.15 %
is the 3 0.15 %
and financial 3 0.15 %
Research Group 3 0.15 %
largest in 3 0.15 %
computer science 3 0.15 %

SEO Keywords (Three Word)

Keyword Occurrence Density Possible Spam
one of the 6 0.30 % No
University of Manchester 4 0.20 % No
the largest in 3 0.15 % No
of Computer Science 3 0.15 % No
of the largest 3 0.15 % No
Algorithms Group NAG 2 0.10 % No
Numerical Algorithms Group 2 0.10 % No
The Numerical Algorithms 2 0.10 % No
of Industrial Management 2 0.10 % No
University of Zurich 2 0.10 % No
Department of Industrial 2 0.10 % No
Jožef Stefan Institute 2 0.10 % No
Research Group on 2 0.10 % No
the areas of 2 0.10 % No
research and education 2 0.10 % No
in the UK 2 0.10 % No
of the world’s 2 0.10 % No
largest in the 2 0.10 % No
is part of 2 0.10 % No
and research institutes 2 0.10 % No

SEO Keywords (Four Word)

Keyword Occurrence Density Possible Spam
one of the largest 3 0.15 % No
of the largest in 2 0.10 % No
of Signal Processing SGN 2 0.10 % No
as one of the 2 0.10 % No
is part of the 2 0.10 % No
Numerical Algorithms Group NAG 2 0.10 % No
The Numerical Algorithms Group 2 0.10 % No
Department of Industrial Management 2 0.10 % No
in the areas of 2 0.10 % No
working in the areas 2 0.10 % No
Research Group on Financial 2 0.10 % No
Group on Financial Engineering 2 0.10 % No
the largest in the 2 0.10 % No
largest in the UK 2 0.10 % No
of the University of 2 0.10 % No
and one of the 2 0.10 % No
Department of Signal Processing 2 0.10 % No
of the Computing Laboratory 1 0.05 % No
the Computing Laboratory working 1 0.05 % No
Director of the Computing 1 0.05 % No

Internal links in - bigdatafinance.eu

People
People arkistot - BigDataFinance
Projects
Projects arkistot - BigDataFinance
Research
Research - BigDataFinance
Publications
Publications - BigDataFinance
Beneficiaries & Partners
Beneficiaries & Partners - BigDataFinance
Events
Events - BigDataFinance
BigDataFinance Conference
BigDataFinance Conference - BigDataFinance
Data Science in Finance
Data Science in Finance - BigDataFinance
High-Frequency Data Econometrics
High-Frequency Data Econometrics - BigDataFinance
Winter School on Complex networks in finance
Winter School on Complex networks in finance - BigDataFinance
Blog
Blog arkistot - BigDataFinance
Contact
Contact - BigDataFinance
Volatility seasonality of Bitcoin prices
Volatility seasonality of Bitcoin prices - BigDataFinance
BigDataFinance protagonist at the 6th Li..
BigDataFinance protagonist at the 6th Lindau Meeting in Economic Sciences - BigDataFinance
BigData analysis of financial interconne..
BigData analysis of financial interconnectedness: the new challenge to prevent contagion - BigDataFinance
algorithms
algorithms arkistot - BigDataFinance
cloud
cloud arkistot - BigDataFinance
conference
conference arkistot - BigDataFinance
corporate ownership
corporate ownership arkistot - BigDataFinance
data
data arkistot - BigDataFinance
econometric models
econometric models arkistot - BigDataFinance
ESR
ESR arkistot - BigDataFinance
extracted knowledge
extracted knowledge arkistot - BigDataFinance
finance
finance arkistot - BigDataFinance
financial crisis
financial crisis arkistot - BigDataFinance
financial markets
financial markets arkistot - BigDataFinance
financial volatility
financial volatility arkistot - BigDataFinance
job
job arkistot - BigDataFinance
recruitment
recruitment arkistot - BigDataFinance
research
research arkistot - BigDataFinance
risk management
risk management arkistot - BigDataFinance
self-data
self-data arkistot - BigDataFinance
velocity
velocity arkistot - BigDataFinance
volatility
volatility arkistot - BigDataFinance
volume
volume arkistot - BigDataFinance
alaytics
alaytics arkistot - BigDataFinance
analysis
analysis arkistot - BigDataFinance
Canonical Correlation Analysis (CCA)
Canonical Correlation Analysis (CCA) arkistot - BigDataFinance
Copula GARCH
Copula GARCH arkistot - BigDataFinance
correlations
correlations arkistot - BigDataFinance
data mining
data mining arkistot - BigDataFinance
dynamic financial landscape
dynamic financial landscape arkistot - BigDataFinance
econometric method
econometric method arkistot - BigDataFinance
economic indicators
economic indicators arkistot - BigDataFinance
financial econometrics
financial econometrics arkistot - BigDataFinance
financial market movement
financial market movement arkistot - BigDataFinance
frequency
frequency arkistot - BigDataFinance
frequency trading
frequency trading arkistot - BigDataFinance
high-frequency
high-frequency arkistot - BigDataFinance
information leakage
information leakage arkistot - BigDataFinance
limit order
limit order arkistot - BigDataFinance
market data
market data arkistot - BigDataFinance
network architectures
network architectures arkistot - BigDataFinance
order flow
order flow arkistot - BigDataFinance
PhD scholarship
PhD scholarship arkistot - BigDataFinance
quantitative risk management model
quantitative risk management model arkistot - BigDataFinance
resilient
resilient arkistot - BigDataFinance
scaling
scaling arkistot - BigDataFinance
scaling law
scaling law arkistot - BigDataFinance
trading
trading arkistot - BigDataFinance
Scientific paper receives multiple prizes
Scientific paper receives multiple prizes - BigDataFinance
A brief introduction to Big Data and Signal Processing
A brief introduction to Big Data and Signal Processing - BigDataFinance
Mid-Term Review Meeting 6th of October
Mid-Term Review Meeting 6th of October - BigDataFinance

Bigdatafinance.eu Spined HTML


Beneficiaries & Partners - 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 Beneficiaries & Partners BigDataFinance  – 14 universities, companies and research institutes. Beneficiaries TUT Department of Industrial Management/ Research Group on Financial Engineering As a strategic guideline of Tampere University of Technology (TUT), management of industrial activities is undisputed as one of the focal areas in research and education. The department supports organizations in their merchantry renewal and generates new knowledge in order to enhance their competitiveness and sustainability. Research Group on Financial Engineering at the Department of Industrial Management stands at the crossroads of financial engineering, data science and computing using computational methods with an accent on wide-stretching use of real data providing robust and realistic solutions. We aim to develop new approaches to relax unrealistic assumptions that often are unromantic for the sake of soluble theoretical models over try-on with empirical data in the existing literature. Prof. Juho Kanniainen, the Head of the Research Group, is coordinating two EU-projects: HPCFinance and BigDataFinance. Department of Signal Processing (SGN) Department of Signal Processing (SGN) is part of the Faculty of Computing and Electrical Engineering. Signal processing has been chosen as one of the strategic top fields of research specially supported by TUT. We have here among the many zippy researcher groups The Signal Processing Algorithm Group (SPAG) twice elected as Academy of Finland Centre of Excellence. We offer studies combining signal processing of e.g. audio, images, video and biological signals, and hardware and software systems related with them. Different digital signals such as speech in mobile phones, sound in CD and mp3 devices, images and video in digital cameras and television as well as signals in measurement systems can be analyzed and processed with ways of signal processing. About 170 people work on SGN. Our teaching personnel consists of well-nigh 20 people from which 15 are professors.Virtually50 of our personnel is working on a M.Sc. thesis and roughly 85 on a Ph.D. thesis. In wing to the researchers, we rent yearly several students as research assistants or summer employees. Our researchers have been employed mainly to the industry and research institutes. Nearly half of our personnel, researchers and students come from countries outside of Finland. Every year dozens of international specialists of signal processing visit our Tampere InternationalPart-wayfor Signal Processing (TICSP) and our researchers often go and visit international universities and conferences.  Our  Department has an international and relaxed atmosphere.   ING Groep N.V We are a global financial institution with a strong European base, offering financial services. We yank on our wits and expertise, our transferral to spanking-new service and our global scale to meet the needs of a wholesale consumer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our customers are at the heart of what we do. Our increasingly than 53,000 employees offer retail and commercial financial services to customers in over 40 countries. Our strengths include our well-known, strong trademark with positive recognition from customers in many countries, strong financial position, omnichannel distribution strategy and international network. Moreover, ING is currently the number one ‘diversified financials’ visitor in the Dow Jones Sustainability Index. University of Zurich (UZH), Switzerland  The Department ofFinancialand Finance (DBF) is part of the University of Zurich. It scores among the leadingFinancial& Finance Departments in Europe, well unfluctuating with our counterparts worldwide. It aims at world matriculation research in financial and finance. The research is relevant to industry, policy, and society as a whole. DBF possesses wholesale expert competences in the disciplines of banking, corporate finance, financial economics, and quantitative finance. We unzip our goals by appointing outstanding and internationally recognized scientists, creating the weightier possible research conditions, and promoting young talents. DBF offers bachelor, master and doctoral programs, complemented by various professional minutiae programs. Our teaching is state of the art, both in terms of wonk content and didactical means. DBF places unconfined accent on an inter-disciplinary approach. We encourage critical, analytical, and creative thinking. DBF fosters value-oriented reflective capabilities, as well as global consciousness, social responsibility, and upstanding awareness. Increasinglyinformation at http://www.ibf.uzh.ch/   Jožef Stefan Institute Jožef Stefan Institute (JSI) is the leading research institution for the natural sciences in Slovenia with over 900 researchers within 25 departments working in the areas of computer science, physics, and chemistry and biology. TheStrainedIntelligence Laboratory, with approximately 40 researchers, is one of the largest European research groups working in the areas of machine learning, data mining, language technologies, semantic technologies and sensor networks. The key research direction is combining modern statistical data supersensual techniques with increasingly semantic/logic based knowledge representations and reasoning techniques with the purpose to make progress in solving ramified problems such as text understanding, large scale probabilistic reasoning, towers wholesale coverage knowledge bases, and dealing with scale. AB AB is a leading investment-management firm with US$485 billion in vendee resources under management, as of 30 June 2015. We serve institutions virtually the world including pension plans, foundations, endowments, insurers, inside banks, governments and sovereign wealth funds. Our wholesale variety of services ranges from zippy management to customized liability-driven solutions and encompasses stock-still income, equities, alternatives, multi-asset strategies, dynamic windfall typecasting and passive indexing, wideness global, regional and local markets. At AB we strive to alimony our clients superiority with our forward-looking global perspective, self-sustaining research and investment willpower wideness all windfall classes. CreatesPart-wayfor Research in Econometric Analysis of Time Series, CREATES (DNRF78), is a research unit at Aarhus University, hosted by the Department of Economics andMerchantryEconomics. Research is conducted within the unstipulated fields of time series and financial econometrics. The part-way is funded as aPart-wayof Excellence by the Danish National Research Foundation via a DKK 80.2m (Euro 10.7m) grant on top of the funding from the host institution. The funding period covers a 10-year period 2007-2017. CREATES’ cadre group of members are united with Aarhus University. A number of international research fellows (many of Danish origin), are associated with CREATES. The research at CREATES is characterized by interdisciplinary collaboration amongst economists, econometricians, and mathematical statisticians. University of Manchester The University of Manchester (UoM) is the largest in the UK and one of the largest in Europe with over 40,000 students and 11,000 staff. It was worked in 2004 by the merger of the University of Manchester Institute of Science and Technology (UMIST, est. 1824) and the Victoria University of Manchester (est. 1851). UoM has 25 Nobel laureates among its past and present students and staff, the fourth-highest number of any single UK university; four Nobel laureates are currently among its staff – increasingly than any other UK university. The School of Computer Science (SCS) at Manchester is the oldest and one of the largest in the UK, with scrutinizingly 1,000 full-time students. It traces its history to 1948 with the minutiae of the world’s first stored program computer; Alan Turing, a founder of computer science, was later Deputy Director of the Computing Laboratory working on strained intelligence and the Turing Test. SCS was ranked 4th for research quality in Computer Science in the 2014 UK research evaluation, and has been ranked in the top 10 European universities for Computer Science throughout the period 2009-14 by theWonkRanking of World Universities. SCS holds the UK Centre of Doctoral Training in Computer Science, funded by the UK EPSRC research council. Partners JSIPS Bloomberg   Bloomberg, the global merchantry and financial information and news leader, gives influential visualization makers a hair-trigger whet by connecting them to a dynamic network of information, people and ideas. Techila Nobody likes waiting. Techila is a distributed computing middleware and management solution, which brings rocket speed to computing. It is designed to save the time of merchantry users and IT experts time and to speed up the idea-to-deployment trundling wideness the enterprise. As the need for computing grows wideness industries, high-performance computing needs to serve a wider audience. Not all of them familiar with HPC technologies. Techila provides standard simulation and modeling tools hundred folds speed-up, simple user-experience and deployment in minutes.   Techila enables applications to goody of the computing power misogynist in the customer’s current and future computing servers and clusters, and plane to include topics from the customer’s trusted deject providers. By using Techila, plane existing applications can be integrated hands and securely, delivering an unparalleled wits without complexity. Olsen Ltd Olsen Ltd is an windfall management and econometrics company, founded in 1985 (successor of Olsen & Associates). During the past 30 years, Olsen has ripened its own technologies for collecting, filtering financial data, inaugurating what was one of the world’s largest repositories of research-quality, tick-by-tick FX data. In 1996, Olsen has launched OANDA, an Internet market maker in foreign exchange, the first trading platform with second-by-second interest payments, since then rhadamanthine a leading provider of currency-related tools and services. Olsen has pioneered upper frequency finance, a new willpower with a marrow up tideway to economic and financial modelling; the team published “Introduction toUpperFrequency Finance” (Olsen et. al. 2001), a standard textbook used by quantitative hedge funds. 
 University of Amsterdam Aalto University – Department of Computer Science The department of Computer Science provides world-class research and education in modern computer science to foster future science, engineering and society. The work combines fundamental research with innovative applications. The department is known for its innovative and unceasingly upper quality work. It is matching the very weightier teams in the world and is a coveted partner in international collaborations. Research at the department addresses and solves challenging problems of upper practical relevance with revolutionary applications. The Numerical Algorithms Group (NAG) The Numerical Algorithms Group (NAG) provides upper quality numerical software and delivers upper performance computing (HPC) services. NAG works closely with world-leading researchers in academia and industry to create powerful, well-judged and flexible numerical software. In financial services the NAG Library is embedded in most investment banks main quant libraries where the NAG components are used as towers blocks. The NAG Library and consulting services are used for a variety of big data applications. NAG has strong wits in lawmaking optimisation and implementation of numerical and statistical lawmaking in distributed computing environments . 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 Copyright BigDataFinance 2017 | All rights reserved | Login WordPress Download Manager -WeightierDownload Management Plugin Close