• Media type: E-Book
  • Title: Bubbles Talk : Narrative Augmented Bubble Prediction
  • Contributor: Chen, Yuting [VerfasserIn]; Bredin, Donal [VerfasserIn]; Potì, Valerio [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2023]
  • Published in: Michael J. Brennan Irish Finance Working Paper Series Research Paper ; No. 23-5
  • Extent: 1 Online-Ressource (59 p)
  • Language: English
  • DOI: 10.2139/ssrn.4422486
  • Identifier:
  • Keywords: narrative economics ; asset bubbles ; natural language processing ; Arbeitspapier ; Graue Literatur
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 31, 2023 erstellt
  • Description: Financial bubble theories emphasize the importance of behavioral mechanisms cen- tered around investor beliefs, which can be potentially gleaned from prevailing nar- ratives, that reflect investors’ psychological states and link them to economic events. By summarizing market narratives into meaningful and economically relevant features, guided by bubble theories, we offer a novel approach to bubble prediction. We then test whether the variation of narratives and bubble measures are related on a predictive basis, as bubble theories imply. Our findings reveal that most of our narrative fea- tures exhibit statistically significant predictive power for bubble measures, and that the narrative-augmented models outperform non-augmented benchmarks in out-of-sample tests. These results offer new insights into the understanding of bubbles and lay the foundation for using narratives to develop early warning systems (EWS) for bubble for- mation and deflation, and for investigating the causal relationship between narratives and economic events
  • Access State: Open Access