Algorithmic Finance: Inquiring into the Reshaping of Financial Markets

Project Information

AlgoFinance

Grant agreement ID: 725706

DOI

10.3030/725706

Project closed

EC signature date 7 April 2017

Start date 1 May 2017

End date 31 October 2021

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 590 036,00

EU contribution

€ 1 590 036,00

Coordinated by

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (12)

Model Talk: Calculative Cultures in Quantitative Finance

Author(s): Kristian Bondo Hansen
Published in: Science, Technology & Human Values, 2021, ISSN 0162-2439
Publisher: SAGE Publications
DOI: 10.1177/0162243920944225

Financial contagion: problems of proximity and connectivity in financial markets

Author(s): Kristian Bondo Hansen
Published in: Journal of Cultural Economy, 2021, ISSN 1753-0350
Publisher: Taylor and Francis Inc.
DOI: 10.1080/17530350.2021.1879211

Financial Contagion in an Age of COVID-19: On Biological, Human, and Algorithmic Mimesis

Author(s): Christian Borch
Published in: CounterText, 2022, ISSN 2056-4406
Publisher: Edinburgh University Press

Alternative data and sentiment analysis: prospecting non-standard data in machine learning-driven finance

Author(s): Kristian Bondo Hansen, Christian Borch
Published in: Big Data & Society, 2022, ISSN 2053-9517
Publisher: Sage

The distribution of ignorance on financial markets

Author(s): Daniel Souleles
Published in: Economy and Society, 2019, ISSN 0308-5147
Publisher: Routledge
DOI: 10.1080/03085147.2019.1678263

Machine learning and social theory: Collective machine behaviour in algorithmic trading

Author(s): Christian Borch
Published in: European Journal of Social Theory, 2021, ISSN 1368-4310
Publisher: SAGE Publications
DOI: 10.1177/13684310211056010

The absorption and multiplication of uncertainty in machine-learning-driven finance

Author(s): Kristian Bondo Hansen, Christian Borch
Published in: British Journal of Sociology, 2021, ISSN 0007-1315
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/1468-4446.12880

How to think about people who don’t want to be studied: Further reflections on studying up

Author(s): Daniel Souleles
Published in: Critique of Anthropology, 2021, ISSN 0308-275X
Publisher: SAGE Publications
DOI: 10.1177/0308275x211038045

Trading Options and the Unattainable Dream: Some Reflections on Semiotic Ideologies

Author(s): Daniel Souleles
Published in: Signs and Society, 2020, ISSN 2326-4497
Publisher: University of Chicago Press
DOI: 10.1086/707315

Why would you buy an electric car on Jetski Friday? Or, a critique of financial markets from an options trading room

Author(s): Daniel Souleles
Published in: Finance and Society, 2021, ISSN 2059-5999
Publisher: Finance and Society
DOI: 10.2218/finsoc.v7i2.6628

The Virtue of Simplicity: On machine learning models in algorithmic trading

Author(s): Kristian Bondo Hansen
Published in: Big Data & Society, 2020, ISSN 2053-9517
Publisher: Sage
DOI: 10.1177/2053951720926558

Systemic Failures and Organizational Risk Management in Algorithmic Trading: Normal Accidents and High Reliability in Financial Markets

Author(s): Bo Hee Min, Christian Borch
Published in: Social Studies of Science, 2021, ISSN 0306-3127
Publisher: SAGE Publications
DOI: 10.1177/03063127211048515

Monographic books (1)

Social Avalanche: Crowds, Cities and Financial Markets

Author(s): Christian Borch
Published in: 2020
Publisher: Cambridge University Press

Book chapters (1)

Corona, markedssmitte og sociale laviner

Author(s): Christian Borch
Published in: Det epidemiske samfund (eds: Ole B. Jensen, Nikolaj Schultz), 2020, Page(s) 41–53
Publisher: Hans Reitzels Forlag