Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- PART I NOVELTY, NARRATIVES, AND INSTABILITY
- PART II NEWS ANALYTICS AS A WINDOW INTO STOCK MARKET INSTABILITY
- 4 News Analytics: Novelty, Narratives, and Nonroutine Change
- 5 The Corporate Knightian Uncertainty Index
- 6 KU Sentiment, Novelty, and Relevance
- 7 Diversity of Corporate Uncertainty Events
- 8 Macro versus Micro Novelty
- PART III EMPIRICAL EVIDENCE FOR THE NOVELTY-NARRATIVE HYPOTHESIS
- Appendix A R Code for Bloomberg News Word Cloud and Histogram
- Appendix B The Bloomberg News KU Stock Market Project
- Appendix C RavenPack Terms for Event Output Record
- Appendix D Unscheduled Events from RavenPack
- Bibliography
- Index
5 - The Corporate Knightian Uncertainty Index
from PART II - NEWS ANALYTICS AS A WINDOW INTO STOCK MARKET INSTABILITY
Published online by Cambridge University Press: 23 September 2021
- Frontmatter
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- PART I NOVELTY, NARRATIVES, AND INSTABILITY
- PART II NEWS ANALYTICS AS A WINDOW INTO STOCK MARKET INSTABILITY
- 4 News Analytics: Novelty, Narratives, and Nonroutine Change
- 5 The Corporate Knightian Uncertainty Index
- 6 KU Sentiment, Novelty, and Relevance
- 7 Diversity of Corporate Uncertainty Events
- 8 Macro versus Micro Novelty
- PART III EMPIRICAL EVIDENCE FOR THE NOVELTY-NARRATIVE HYPOTHESIS
- Appendix A R Code for Bloomberg News Word Cloud and Histogram
- Appendix B The Bloomberg News KU Stock Market Project
- Appendix C RavenPack Terms for Event Output Record
- Appendix D Unscheduled Events from RavenPack
- Bibliography
- Index
Summary
Chapter 5 accomplishes several goals. First, a general description of the Dow Jones equities events dataset is provided. Summary statistics are reported for the total event stories identified in connection to corporate news focusing on those events classified as unscheduled. Second, disaggregated categories within the unscheduled corporate event dataset are described using a hierarchy of group classifications. An example of an unscheduled event record is provided to illustrate the output for each identified event. Of particular interest is classification of KU events by “category,” “novelty,” “relevance,” “sentiment,” and “inertia/volume.” These are the factors that will be interacted to generate narrative intensity and principal components factors against which stock market outcomes and structural change dynamics will be compared. Third, the baseline KU index is introduced based on unscheduled corporate events with accompanying time-series plots. Autoregressive tests inform which statistical properties best describe the events' data generating process. The chapter concludes with an examination of historical stock market events that align with major shifts in the index.
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- How Novelty and Narratives Drive the Stock MarketBlack Swans, Animal Spirits and Scapegoats, pp. 125 - 147Publisher: Cambridge University PressPrint publication year: 2021