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Firm debt structure, firm size and risk volatility in US industrial firms

机译:美国工业公司的公司债务结构,公司规模和风险波动

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摘要

US industrial-firm panel data on short-term and long-term borrowing (term debt structure) for annual and quarterly time periods over the years 1995 to 2008 are used to test an insulation hypothesis and a related volatility hypothesis. The former test uses a regression model relating the log of the ratio of accounts payable in trade to Long-Term Debt (LTD) to firm size and other variables. The focus is on the firm's response to the US Federal Reserve (FED)'s monetary policy, where the response is a micro perspective on the earlier macro debate over the existence of bank lending channels. The latter hypothesis uses the panel heteroscedastic variances from the first regression procedure to test for a quadratic-form risk function (either U-shaped or inverted U-shaped) using sigma squared and the Coefficient of Variation (CV) as risk indexes and firm size as a determinant. The findings suggest that there is some evidence that US industrial firms in their borrowing behaviour do insulate themselves from the effects of monetary policy and that retained earnings have a significant role in the insulation effect. The evidence also suggests that the risk index, the net variances of the debt ratio, is related to firm size by a U-shaped quadratic function with most of the actual observations on the downward sloping part of the function. As firm size increases, not only does the term-structure ratio fall, but also the volatility falls and at a falling rate of change, approaching zero for a sufficiently large firm.
机译:美国工业公司针对1995年至2008年的年度和季度期间的短期和长期借款(长期债务结构)的面板数据用于检验绝缘假设和相关的波动率假设。前一种测试使用回归模型,该模型将贸易应付账款与长期债务(LTD)的比率与公司规模及其他变量的对数联系起来。重点是公司对美联储(FED)货币政策的反应,该反应是对早期关于银行借贷渠道存在的宏观辩论的微观观点。后一种假设使用第一个回归程序中的面板异方差方差,以sigma平方和变异系数(CV)作为风险指标和企业规模来检验二次型风险函数(U形或倒U形)。作为决定因素。研究结果表明,有证据表明,美国工业公司的借款行为确实使自己免受货币政策的影响,而留存收益在绝缘效应中发挥了重要作用。证据还表明,风险指数(债务比率的净方差)通过U形二次函数与公司规模有关,而大多数实际观察是在函数的向下倾斜部分上进行的。随着公司规模的增加,不仅期限结构比率下降,而且波动率也下降并且变化率下降,对于足够大的公司,其趋近于零。

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