| Markets, bodies, and rhythms: A rhythmanalysis of financial markets from open-outcry trading to high-frequency trading C Borch, KB Hansen, AC Lange Environment and Planning D: Society and Space 33 (6), 1080-1097, 2015 | 128 | 2015 |
| The virtue of simplicity: On machine learning models in algorithmic trading KB Hansen Big Data & Society 7 (1), 1-14, 2020 | 56 | 2020 |
| Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance KB Hansen, C Borch Big Data & Society 9 (1), 20539517211070701, 2022 | 43 | 2022 |
| Contrarian investment philosophy in the American stock market: on investment advice and the crowd conundrum KB Hansen Economy and Society 44 (4), 616-638, 2015 | 29 | 2015 |
| Financial contagion: problems of proximity and connectivity in financial markets KB Hansen Journal of Cultural Economy, 2021 | 28 | 2021 |
| The absorption and multiplication of uncertainty in machine‐learning‐driven finance KB Hansen, C Borch The British Journal of Sociology 72 (4), 1015-1029, 2021 | 26 | 2021 |
| Model talk: Calculative cultures in quantitative finance KB Hansen Science, Technology, & Human Values 46 (3), 600-627, 2021 | 26 | 2021 |
| Politics of data reuse in machine learning systems: Theorizing reuse entanglements NB Thylstrup, KB Hansen, M Flyverbom, L Amoore Big Data & Society 9 (2), 20539517221139785, 2022 | 14 | 2022 |
| Crowds and Speculation: A study of crowd phenomena in the US financial markets 1890 to 1940 KB Hansen Frederiksberg: Copenhagen Business School (CBS), 2017 | 11 | 2017 |
| The politics of algorithmic finance KB Hansen Contexto Internacional 37, 1081-1095, 2015 | 8 | 2015 |
| Market mimesis: imitation, contagion, and suggestion in financial markets KB Hansen, C Borch Imitation, contagion, suggestion, 89-106, 2019 | 6 | 2019 |
| The market and the masses: From chaotic corners to social media (re) tail events KB Hansen Finance and Society 8 (1), 67-77, 2022 | 4 | 2022 |
| Stack bricolage and infrastructural impermanence in financial machine-learning modelling KB Hansen, N Thylstrup Journal of Cultural Economy 17 (1), 20-38, 2024 | 3 | 2024 |
| Expectations, competencies and domain knowledge in data-and machine-driven finance KB Hansen, D Souleles Economy and Society 52 (3), 421-448, 2023 | 2 | 2023 |
| On some antecedents of behavioural economics KB Hansen, T Presskorn-Thygesen History of the Human Sciences, 1-16, 2021 | 2 | 2021 |
| Can they all be ‘Shit-heads’?: learning to be a contrarian investor D Souleles, KB Hansen Journal of Cultural Economy 12 (6), 491-507, 2019 | 2 | 2019 |
| Not so ‘dumb money’? Constituting professionals and amateurs in the history of finance capitalism KB Hansen, A Komporozos-Athanasiou Thesis Eleven, 07255136241240091, 2024 | | 2024 |
| The Use and Promises of Machine Learning in Financial Markets: From Mundane Practices to Complex Automated Systems T Spears, K Bondo Hansen | | 2023 |
| The Upend of Theory: Post-theory, Correlationism, and the Epistemic Injustice of Big Data Science KB Hansen | | 2022 |
| Politics of data reuse in machine learning systems: Theorizing reuse entanglements L Amoore, M Flyverbom, KB Hansen, NB Thylstrup | | 2022 |
Christian BorchDepartment of Sociology, University of CopenhagenVahvistettu sähköpostiosoite verkkotunnuksessa soc.ku.dk
