Layoff announcements and intra-day market reactions

Santiago Velasquez , Juho Kanniainen, Saku Mäkinen, Jaakko Valli

    Research output: Contribution to journalArticleScientificpeer-review

    7 Citations (Scopus)
    75 Downloads (Pure)

    Abstract

    This paper examines investor intra-day reactions related to two types of layoff announcements, the first one at the start of layoff negotiations and the other at the final layoff decisions. We provide statistically significant evidence that, on average, investors have strongly negative reaction to layoff negotiations within the first 10 minutes. However, we also provide strong evidence that the first negative reaction is reversed by an upward post-drift in aggregated cumulative abnormal returns in the following hours, perhaps because markets need hours to process such unpredictable and complex information and its consequences – even if their first reaction was strong and immediate. Moreover, on the aggregated level, final layoff announcements do not generally convey information that is exceptionally useful to investors, except when reactions to associated initial announcements have not been statistically significant. Importantly, our analysis demonstrates the importance of the use of intra-day data: The reactions, which can be strong but short-lived, are identifiable with intra-day data only. Finally, we find that intra-day reactions cannot be explained by various company background characteristics, such as the number of employees, sales, profitability, and assets/liabilities ratio.
    Original languageEnglish
    Pages (from-to)203–228
    Number of pages26
    JournalReview of Managerial Science
    Volume12
    Issue number1
    Early online date2016
    DOIs
    Publication statusPublished - Jan 2018
    Publication typeA1 Journal article-refereed

    Publication forum classification

    • Publication forum level 1

    Fingerprint

    Dive into the research topics of 'Layoff announcements and intra-day market reactions'. Together they form a unique fingerprint.

    Cite this