Effects of time-varying political connections on loan contracts

IF 1.8 Q2 BUSINESS, FINANCE International Journal of Managerial Finance Pub Date : 2023-10-10 DOI:10.1108/ijmf-09-2022-0400
Hao Fang, Chieh-Hsuan Wang, Joseph C.P. Shieh, Chien-Ping Chung
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Abstract

Purpose The authors construct two time-varying political connection (PC) indexes to measure a firm's political tendencies toward ruling and opposing parties and analyze whether a firm with ruling party tendencies obtains better bank loan contracts compared to the contracts obtained by a firm with opposing party tendencies and a firm with fixed PC tendencies. Design/methodology/approach Linguistic text mining is used to construct the two time-varying PC indexes from news sources that reflect the tone and frequencies of characteristic texts to determine a firm's tendencies to favor the ruling or opposing parties. Findings The results show that varying PC firms connected to the ruling party receive preferential loan contracts when their political tendencies increase but varying PC firms connected to the opposition party do not. In contrast, fixed PC firms gain similar benefits only when the connection is determined in the presidential election year but not in other years. Firms supporting two parties receive minimal financial rewards in terms of loan terms. Originality/value In past studies, once a firm is identified as having a connection with a political party, it is assumed to have PC throughout the sample period (i.e. fixed PC firms). The authors lift this assumption and examine how varying PC affect bank loan contracts. The two time-varying PC indexes can identify a firm's more immediate party tendencies and more precise effects of a firm's party tendencies on bank loan contracts.
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时变政治关系对贷款合同的影响
目的构建两个时变政治联系(PC)指标来衡量企业对执政党和反对党的政治倾向,并分析具有执政党倾向的企业是否比具有反对党倾向的企业和具有固定政治联系倾向的企业获得更好的银行贷款合同。设计/方法/方法语言文本挖掘用于从新闻来源构建两个时变PC指数,这些指数反映了特征文本的语气和频率,以确定公司倾向于支持执政党或反对党。结果表明,与执政党有关联的不同PC企业在其政治倾向增加时获得优惠贷款合同,而与在野党有关联的不同PC企业则没有。相比之下,固定个人电脑公司只有在总统选举年确定连接时才能获得类似的利益,而在其他年份则没有。支持双方的公司在贷款条件方面获得的经济回报很少。在过去的研究中,一旦一个公司被确定为与一个政党有联系,它就被认为在整个样本期间都有PC(即固定的PC公司)。作者取消了这一假设,并研究了不同的PC如何影响银行贷款合同。两个随时间变化的PC指数可以识别企业更直接的政党倾向和企业政党倾向对银行贷款合同的更精确的影响。
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
47
期刊介绍: Treasury and Financial Risk Management ■Redefining, measuring and identifying new methods to manage risk for financing decisions ■The role, costs and benefits of insurance and hedging financing decisions ■The role of rating agencies in managerial decisions Investment and Financing Decision Making ■The uses and applications of forecasting to examine financing decisions measurement and comparisons of various financing options ■The public versus private financing decision ■The decision of where to be publicly traded - including comparisons of market structures and exchanges ■Short term versus long term portfolio management - choice of securities (debt vs equity, convertible vs non-convertible)
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