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2025COM008
Doctoral thesis

A framework for the large-scale analysis of argumentative patterns in financial discourse

  • 2025

PhD: Università della Svizzera italiana

Financial communication
Argumentative patterns
Argument mining
Argumentation in context
English The study of argumentative practices at scale enables the interdisciplinary combination of qualitative communicative and linguistic tradition with quantitative expertise from the AI domain. With the objective of uncovering the discursive dynamics of institutional dialogues and the effect that they have on the surrounding social context, this thesis focuses on the domain of financial markets and the question-and-answer sessions of quarterly earnings calls. The communication device that is explored is argumentative patterns -- recurrent and meaningful structures which play a strategic role in the interaction. Finally, the study of such an argumentative phenomenon in the chosen context uniquely allows for extra-discursive validation of the findings by means of correlation with real-life events such as variations in stock prices. This contribution models a framework for the large-scale analysis of strategic conversations in finance with the goal of establishing potentially predictive features of market performance from communicative events. The novelty of the proposed approach is paired with an extensive discussion of potential research developments supporting both academic research and practical applications.
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Language
  • English
Classification
Language, linguistics
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License undefined
Open access status
green
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https://n2t.net/ark:/12658/srd1332438
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