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

被引:0
|
作者
Floros, Christos [1 ]
Galariotis, Emilios [2 ]
Gkillas, Konstantinos [5 ]
Magerakis, Efstathios [3 ]
Zopounidis, Constantin [4 ]
机构
[1] Hellen Mediterranean Univ, Dept Accounting & Finance, Iraklion, Greece
[2] KIMEP Univ, Bang Coll Business, Dept Accounting & Finance, Alma Ata, Kazakhstan
[3] Univ Patras, Dept Econ, Patras 26504, Greece
[4] Tech Univ Crete, Sch Prod Engn & Management, Financial Engn Lab, Univ Campus, Khania 73100, Greece
[5] Univ Patras, Dept Management Sci & Technol, Megalou Alexandrou 1, Patras 26334, Greece
关键词
(B) Finance; Economic policy uncertainty; Time-varying; Rolling quantile regressions; G18; G32; G30; G38; RESEARCH-AND-DEVELOPMENT; CORPORATE GOVERNANCE; POLITICAL UNCERTAINTY; MACROECONOMIC UNCERTAINTY; INNOVATION-EVIDENCE; OPTIMAL INVESTMENT; RARE DISASTERS; AGENCY COSTS; US; RISK;
D O I
10.1007/s10479-024-06176-1
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:859 / 895
页数:37
相关论文
共 50 条
  • [1] The impacts of economic policy uncertainty on firm cash holding in China
    Chen, Xin
    Li, Jiannan
    Tang, Decai
    Shang, Li
    Boamah, Valentina
    Xu, Jiayi
    Deng, Zixuan
    PLOS ONE, 2023, 18 (11):
  • [3] Economic policy uncertainty and firm's cash holding in China: The key role of asset reversibility
    Liu, Yuanyuan
    Li, Jing
    Liu, Guanchun
    Lee, Chien-Chiang
    JOURNAL OF ASIAN ECONOMICS, 2021, 74
  • [4] Economic policy uncertainty and Indian equity sectors: a quantile regression approach
    Simran
    Sharma, Anil K.
    JOURNAL OF FINANCIAL ECONOMIC POLICY, 2024, 16 (06) : 856 - 873
  • [5] Bayesian time-varying quantile regression on exceedance
    do Nascimento, Fernando Ferraz
    Bourguignon, Marcelo
    STATISTICS, 2022, 56 (06) : 1207 - 1224
  • [6] Bayesian time-varying quantile regression to extremes
    Do Nascimento, Fernando Ferraz
    Bourguignon, Marcelo
    ENVIRONMETRICS, 2020, 31 (02)
  • [7] On the Time-Varying Effects of Economic Policy Uncertainty on the US Economy
    Prueser, Jan
    Schloesser, Alexander
    OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2020, 82 (05) : 1217 - 1237
  • [8] Nexus between cryptocurrencies and global uncertainty: A quantile regression approach
    Woode, John Kingsley
    Owusu Jr, Peterson
    Adam, Anokye M.
    Assifuah-Nunoo, Emmanuel
    Adjei, Audrey Foriwaa
    COGENT ECONOMICS & FINANCE, 2023, 11 (02):
  • [9] Nonparametric Inference for Time-Varying Coefficient Quantile Regression
    Wu, Weichi
    Zhou, Zhou
    JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2017, 35 (01) : 98 - 109
  • [10] Estimation for time-varying coefficient smoothed quantile regression
    Hu, Lixia
    You, Jinhong
    Huang, Qian
    Liu, Shu
    JOURNAL OF APPLIED STATISTICS, 2024,