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- W2981734126 abstract "In my paper, I examine the role that models play, and the relation between models and data, in financial systems, in particular in stock markets. I discuss several dangerous liaisons between models and data both from a theoretical and a practical viewpoint, and I consider their effects on the behaviour of the financial systems and their actors. I will examine two issues in particular. First, these liaisons defy the way traditional philosophy of science accounts for models and the relation between models and data, as stock markets exhibit several dynamics and features that do not fit them. For instance, they challenge the ontological issue about models (the debate about the fictional character of models), or the way models and phenomena are connected, and consequently undermine classical taxonomies as ‘models of data’, ‘models of phenomena’, ‘models of theory’. Second, these relations and liaisons open the way to possible exploitations and manipulation of stock market’s dynamics by means of appropriate use of models and data, including ‘reverse finance’, which should be closely analysed in order to contribute to better functioning and serving of the financial systems." @default.
- W2981734126 created "2019-11-01" @default.
- W2981734126 creator A5045208860 @default.
- W2981734126 date "2019-01-01" @default.
- W2981734126 modified "2023-09-24" @default.
- W2981734126 title "Models and Data in Finance: les Liaisons Dangereuses" @default.
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- W2981734126 doi "https://doi.org/10.1007/978-3-030-32722-4_22" @default.
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