企业套期保值理论与外币贷款使用:一个Logit模型方法

Mahadevan Sriram, Srilakshminarayana Gali
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摘要

本研究试图探讨公司套期保值理论与在印度上市的公司使用外币贷款之间的关系。总共选择了349家非金融公司,并考虑了截至2018年3月31日的财政年度数据进行分析。描述性统计表明,55%的样本公司借入外币资金。这些公司的杠杆率很高,并拥有足够的短期资产来履行短期债务。采用logit模型对横截面数据进行分析。因变量为二进制(“0”表示非外币贷款用户,“1”表示外币贷款用户),研究发现变量“行业类型”与外币贷款的使用有显著关联。制造业企业比服务业企业更有可能使用外币贷款。债务净值比、出口销售比、收入(收入对数)是显著影响公司筹集外币贷款可能性的变量。利息覆盖率对企业选择外币贷款的可能性产生了负面影响。Hosmer和Lemeshow检验表明,该模型拟合良好,预测外币贷款用户为“外币贷款用户”的准确率为73%。金融危机、国际经营规模和程度等理论解释了公司为什么要筹集外币贷款。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corporate Hedging Theories and Usage of Foreign Currency Loans: A Logit Model Approach
The present study has attempted to discuss the association between corporate hedging theories and the usage of foreign currency loans by companies listed in India. A total of 349 non-financial companies were selected, and the data for the financial year ending 31st March, 2018 were considered for the analysis. The descriptive statistics indicate that 55% of the sample companies had borrowed funds in foreign currency. The companies were highly levered and maintained adequate short-term assets to honor short-term obligations. A logit model was employed for analyzing the cross-sectional data. The dependent variable being binary (‘0’ for non-user of foreign currency loans and ‘1’ for foreign currency loan user), the study found the variable ‘industry type’ to have a significant association with usage of foreign currency loans. Companies from the manufacturing sector were likely to use foreign currency loans than companies from the services sector. Debt to net worth, export to sales, revenue (log of revenue) were the variables that significantly influenced the likelihood of companies raising foreign currency loans. Interest coverage ratio had a negative influence on the likelihood of companies opting for foreign currency loans. Hosmer and Lemeshow test showed that the model is a good fit indicating 73% accuracy in predicting the users of foreign currency loans as ‘foreign currency loan users’. Theories such as financial distress, size, and extent of international operations explain why companies raise foreign currency loans.
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