Exploring the heterogeneity of stock market responses to Uber announcements: A comparative analysis of developed and emerging economies in Asia Pacific

  • Tchai Tavor

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

I investigated Uber’s strategic announcements’ impact on stock markets within the Asia Pacific region, distinguishing developed and emerging economies. Utilizing Crunchbase.com data, I applied the “Index Impact Test” and “Stock Response Test” to analyze market responses. I found that in developed economies, stock indices experienced a negative trend before announcements and a positive trend thereafter. In contrast, emerging economies exhibited a positive response exclusively after announcements. I also explored the performance of Uber’s stock, demonstrating positive postannouncement effects in both economy types, with emerging economies showing sustained positivity. Further, I expanded to assess Uber’s influence on other peer-to-peer (P2P) companies, specifically Lyft and Airbnb, offering insights into the broader implications of Uber’s announcements across the P2P sector. The findings suggested that Lyft received a positive market response in developed and emerging economies, while Airbnb’s response in developed economies tended to be negative post-announcement.

Original languageEnglish
Pages (from-to)315-346
Number of pages32
JournalQuantitative Finance and Economics
Volume8
Issue number2
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

Keywords

  • Asia Pacific stock markets
  • Uber impact
  • announcement effects
  • investor sentiment
  • market heterogeneity

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Strategy and Management
  • Economics, Econometrics and Finance (miscellaneous)
  • Finance

Fingerprint

Dive into the research topics of 'Exploring the heterogeneity of stock market responses to Uber announcements: A comparative analysis of developed and emerging economies in Asia Pacific'. Together they form a unique fingerprint.

Cite this