文章基本信息

标题：Reliable and Advanced Predictors for Corporate Financial Choices in Pakistan
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作者：Umeair SHAHZAD ; Luo FUKAI ; Faisal MAHMOOD 等
期刊名称：Journal of Asian Finance, Economics and Business
印刷版ISSN：2288-4637
电子版ISSN：2288-4645
出版年度：2020
卷号：7
期号：7
DOI：10.13106/jafeb.2020.vol7.no7.073
语种：English
出版社：Korean Distribution Science Association
摘要：Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.
关键词：Capital Structure;Adjustment Speed;Institutional Quality;Bayesian Information Criteria;Pakistan Stock Exchange