贸易信贷和股票回报的可预测性:来自巴基斯坦的证据

Ammara Mubashar, Sumayya Chughtai, A. Raheman
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引用次数: 0

摘要

贸易信贷将借款人的信誉和未来表现的私人信息转移给其他贷方,这些信息也可以转化为股票市场。本研究的目的是分析贸易信贷在巴基斯坦背景下预测公司未来股票收益的信息作用。在我们提出的五因素模型中控制了市场和企业特定特征后,我们发现,与银行贷款相比,更依赖贸易信贷的企业未来股票回报更高。这些发现表明,贸易信贷供应表明了供应商对借款人的信息,这些信息在市场上逐渐和积极地转化。关键词:贸易信贷,股票收益可预测性,Fama & French三因素模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trade Credit and Stock Return Predictability: Evidence from Pakistan
Trade credit transfers private information about borrower�s creditworthiness and future performance to other lenders and this information can also be translated into the stock market. The purpose of this study is to analyze the informational role of trade credit in predicting future stock returns of the firms in the context of Pakistan. After controlling for market and firm-specific characteristics in our proposed five-factor model, it is found that firms depending more on trade credit as compared to bank loans have higher future stock returns. These findings suggest that trade credit supply signals the information that the supplier has about the borrower and this information is gradually and positively translated in the market Keywords: Trade Credit, Stock return Predictability, Fama & French Three-Factor Model
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