Christos Floros, Emilios Galariotis, Konstantinos Gkillas, Efstathios Magerakis, Constantin Zopounidis
{"title":"时变企业现金持有量与经济政策不确定性的关系:一种量回归方法","authors":"Christos Floros, Emilios Galariotis, Konstantinos Gkillas, Efstathios Magerakis, Constantin Zopounidis","doi":"10.1007/s10479-024-06176-1","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"341 2-3","pages":"859 - 895"},"PeriodicalIF":4.4000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach\",\"authors\":\"Christos Floros, Emilios Galariotis, Konstantinos Gkillas, Efstathios Magerakis, Constantin Zopounidis\",\"doi\":\"10.1007/s10479-024-06176-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":8215,\"journal\":{\"name\":\"Annals of Operations Research\",\"volume\":\"341 2-3\",\"pages\":\"859 - 895\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10479-024-06176-1\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-024-06176-1","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach
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.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.