Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach

  • Christos Floros
  • , Emilios Galariotis
  • , Konstantinos Gkillas
  • , Efstathios Magerakis
  • , Constantin Zopounidis*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper examines the time-varying nature of various decisive factors on cash holding decisions. First, we revisit the issue of cash holding determinants of U.S. corporations and argue that firm cash holding predictability is time-varying. To this end, this research proposes a novel empirical framework that builds on the impact of business cycles on firm cash holding’s predictability. Using a three-stage empirical analysis, we also posit that the conventional argument on the EPU-CASH relationship is dependent on the time-varying market structure. Earlier studies have shown that economic policy uncertainty may increase the propensity of cash holding at the firm level. To estimate the theoretical assumption and capture different dynamic relationships, we convert monthly EPU data to annual and develop a cash quantile regression model including several financial characteristics. Employing a large sample of U.S. non-financial firms and non-utilities, we initially estimate 6-year rolling fixed window quantile regressions during the 1970–2016 period. The resulting series of beta estimates are regressed on economic policy uncertainty. The main results confirm the time-varying nature of determinants related to corporate liquidity management. Our findings add a new dimension to the existing literature and therefore be important to the market participants for portfolio allocation in the developed markets. Overall, the new methodology presented in this study contributes to the field of operational research by providing a robust approach to analyze policy uncertainty and its impact on cash management.

Original languageEnglish
Pages (from-to)859-895
Number of pages37
JournalAnnals of Operations Research
Volume341
Issue number2-3
DOIs
StatePublished - Oct 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

Keywords

  • (B) Finance
  • Economic policy uncertainty
  • G18
  • G30
  • G32
  • G38
  • Rolling quantile regressions
  • Time-varying

ASJC Scopus subject areas

  • General Decision Sciences
  • Management Science and Operations Research

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