融资约束与公司投资 FHP_88 简介与分析

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融资约束、现金持有与过度投资

融资约束、现金持有与过度投资

融资约束、现金持有与过度投资融资约束、现金持有与过度投资融资约束、现金持有与过度投资是公司财务管理中的重要议题。

在现代市场经济中,企业为了实现利润最大化和股东财富最大化的目标,需要在投资决策、融资决策和现金管理中做出正确的权衡和选择。

首先,我们来看融资约束对企业过度投资的影响。

融资约束是指企业由于内部或外部原因而无法获得足够的外部融资,从而限制了企业的投资规模。

对于受融资约束的企业来说,它们往往会选择通过利用内部现金来进行投资,以满足其增长和发展的需求。

然而,由于受限于有限的内部现金,企业可能会在选择投资项目时出现过度投资的情况。

过度投资可以理解为企业在投资项目中未能达到预期收益,或者选择了过多的投资项目,导致资源分散、效益下降的情况。

这可能会导致企业资源的浪费和经营效率的下降,进而影响企业长期的竞争力和可持续发展。

其次,我们来探讨现金持有对企业的影响。

现金持有是企业在经营活动中所持有的流动性最高的资产,它对企业的经营决策和风险管理起着至关重要的作用。

现金的持有可以为企业提供应急储备,使企业能够应对突发事件或不利的市场环境。

此外,现金的持有还可以为企业提供投资机会,例如在经济低迷时购买低估股票或企业并购等。

然而,过多的现金持有也可能导致资源的闲置和浪费。

企业应该根据市场环境、行业特点和自身财务状况等因素,合理管理现金,确保现金的最优配置。

最后,我们讨论融资约束、现金持有与企业的关系。

融资约束可以导致企业现金持有的增加,一方面是因为企业无法通过融资来满足其投资和运营的资金需求,只能依靠内部现金;另一方面,融资约束也会导致企业对未来不确定性的担忧,从而增加对现金的需求。

融资约束和现金持有之间的关系可以互为原因和结果。

一方面,融资约束导致现金持有的增加;另一方面,现金持有的增加也会让企业更加依赖内部资金,进而加剧融资约束的局面。

因此,企业在面临融资约束时,应该充分考虑现金持有与投资决策、融资决策之间的关系,以实现最佳的财务管理。

信息不对称_融资约束与投资_现金流敏感性_基于市场微观结构理论的实证研究

信息不对称_融资约束与投资_现金流敏感性_基于市场微观结构理论的实证研究

信息不对称、融资约束与投资—现金流敏感性*———基于市场微观结构理论的实证研究屈文洲谢雅璐叶玉妹内容提要:投资—现金流敏感性研究是当前投资理论研究的主流方向之一。

当前针对这一问题的研究还存在着诸多争议,其中公司融资约束程度的度量问题是争论的焦点。

本文借鉴市场微观结构理论中的信息不对称指标PIN 值作为融资约束的代理指标,研究发现:信息不对称水平越高,则公司的投资支出越低。

进一步的检验发现,信息不对称水平较高的公司,其投资—现金流敏感性也较高,并且信息不对称导致的融资约束与投资—现金流敏感性的关系并不是线性的。

本文的研究不仅体现了新的研究视角、方法和思路,丰富了投资—现金流敏感性领域的相关文献,而且可以为我国资本市场的完善和企业的投融资决策提供参考。

关键词:投资—现金流敏感性信息不对称市场微观结构*屈文洲、谢雅璐、叶玉妹,厦门大学管理学院财务学系,邮政编码:361005,电子信箱:wzqu@xmu.edu.cn 。

本文得到国家自然科学基金项目(70772095、70632001)、教育部“新世纪优秀人才支持计划”、“霍英东教育基金会第十一届高等院校青年教师基金资助项目”(111090)和“福建省杰出青年科学基金资助项目”(2010J06019)的共同资助。

作者感谢匿名审稿人的评论意见,但文责自负。

一、引言早在1958年,Modigliani &Miller (1958)就指出,在完美的资本市场上,公司的投资决策和资本结构无关,对于公司决策者来说,内部资金和外部资金可以无差别替代。

由于新古典框架下的经典投资理论的假设条件过于苛刻,只能存在于完美市场之中。

Myers &Majluf (1984)指出,由于信息不对称的存在,外部投资者会降低购买风险证券的价格,从而会增加外部融资的成本,引起内外部资金的成本差异。

至此之后,众多学者投入到了这一领域的研究当中,投资—现金流敏感性问题逐渐成为现代公司财务领域的研究主流之一。

融资约束文献综述

融资约束文献综述

融资约束文献综述作者:王芳段贵宝王岩来源:《北方经济》2011年第14期摘要:融资一直是财务管理研究的重要话题之一。

本文旨在对融资约束进行概念界定,并对融资约束衡量方式选择的文献进行了梳理与回顾,进一步总结了融资约束与其他方面相结合的文章,系统地评述了各个领域的研究成果,在此基础上探讨了相关问题研究的不足及未来发展方向。

关键词:融资约束股利支付率现金—现金流敏感性一、融资约束的概念经典的财务理论(Modigliani和Miller,1958) 认为,在一个完美的资本市场中,企业的外部资本和内部资本是可以完全替代的,因而企业的投资行为并不会受到公司财务状况的影响,而只与企业的投资需求有关。

但现实世界中并不存在真正意义上的完美资本市场。

现代公司财务理论认为,信息不对称问题和代理问题使得外部融资的成本高于内部资本的成本,因此就产生了融资约束问题。

二、融资约束的理论基础问题(一)信息不对称理论信息不对称是指在市场经济活动中,各类人员对有关信息的了解是有差异的,从事交易活动的双方对交易对象以及环境状态的认识相异,交易的一方拥有相关的信息比另一方拥有的相关信息更多,从而对信息劣势者的决策造成不利的影响。

因此,在现实的不完美的市场中,信息不对称理论是产生融资约束问题的理论基础之一。

(二)代理理论Jensen和Meckling(1976)提出的代理理论认为,代理人拥有的信息比委托人多,并且这种信息不对称会逆向影响委托人有效地监控代理人是否适当地为委托人的利益服务。

融资约束理论认为,当经理受到内部资金约束时, 由于资本市场上的逆向选择就产生融资约束问题,致使外部融资成本往往高于内部资金成本。

三、融资约束的衡量方式(一)股利支付率根据不完美的资本市场上的内外部资本具有不完全替代性的观点,由于外部融资成本较高,低股利支付隐含着公司对内部现金流具有较高的依赖性。

因此,公司面临的非对称信息程度与其股利政策有关。

具体而言,低股利支付的公司的投资支出可能受到较严重的融资约束。

融资约束与公司投资 FHP_88 简介与分析

融资约束与公司投资 FHP_88 简介与分析

PART 1. OutlineMM theory founded the benchmark in corporate finance that firms’financing decision is irrelevant to the investment decision, which relies on the assumption that the market is efficient and frictionless. However, considering the reality of financial market, external financing doesn’t provide a perfect substitute for internal capital. In 1970s, Joseph E. Stiglitz first proved the tax structure has an impact on firms’ financing structure1and came up with the concept of financial constraint.In 1988’s classic paper, Fazzari, Hubbard and Petersen discussed extra costs of equity financing and debt which caused by capital market imperfections, especially asymmetric information. Via studying the investment behaviours in groups of firms categorised by a ratio of dividends to income, authors attempted to create links between financing constraints and investment varies. Their results supported that the sensitivity of investment to cash flow is a reliable indicator of corporates’ financial constraints. FHP’s researches provided several important perspectives on the topic.Kaplan and Zingales’s research challenged FHP’s conclusion. Basically, their study shows that high investment-cash flow sensitivity does not necessarily suggest firms are more financially constrained.Theoretically, even in a one-period model, examining the sensitivities of investment to W (internal funds) and to k (wedge between the internal and external costs of funds), authors could conclude that investment-cash flow sensitivity do not necessarily accord with the extent of financial constraints.Empirical evidence confirms the nonmonotonic relationship between these two factors.KZ analysed the 49 firms with abnormally high investment-cash flow sensitivity; by deeply exploring the fundamentals of sample firms (including operating efficiency, liquidity, financial statements and notes to annual reports for each fiscal-year), authors found that almost 40% of them were capable to increase investment in every year of the observing period.According to qualitative information in the annual reports and quantitative information in the financial statements and notes, KZ classified the 49 observations into five groups (NFC, LNFC, PFC, LFC and FC). Classifications result shows that cash stocks, cash flow, Q, unused lines of credit and interest coverage are monotonically declining from NFC to FC, which supports the validation of classification scheme. Critically, regressions reveal that the NFC firms exhibit the highest investment-cash flow sensitivity (coefficient is statistically greater than that of other firms).Reexamine validity of the finding: when splitting data into subperiods, the results still hold; 1Stiglitz, Joseph E. "Taxation, corporate financial policy, and the cost of capital." Journal of Public Economics 2.1 (1973): 1-34.when grouping firms based on quantitative criteria, the same results still hold.KZ’s conclusion on investment-cash flow sensitivity and financial constrain is conflicted with FHP’s. Possible reasons are as follows:•KZ applied Euler equation, avoiding the mismeasurement of Tobin’s Q2;•Fluctuations of outliers affected the sensitivities;• A few firms used cash flow to repay debt, which contribute to the nonmonotonic relationship.If the nonmonotonic relationship generally exists, further researches on investment behaviours are needed to find out the reason.PART 2. Critical EvaluationFinancial constraints should be considered in two ways. First, weather the internal funds are sufficient; second, whether or not the firm’s intrinsic characteristics make it costly to obtain a certain amount of external funds (KZ 2000). KZ’s research provided both theoretical and empirical views on the invalidity of investment-cash flow sensitivity as a measure of financial constraints.KZ delivered the one-period model to prove the nonmonotonicity; however, FHP (2000) stated the sensitivity to internal funds is likely to be irrelevant to financial constraints.An important contribution of KZ is that they used a multi-factor classification. Essentially, they selected several major indicators of firm’s financial condition, assuming that healthier firm’s may face less financial constraints. But these indicators, in some situations, cannot represent the firms’ true status.Cash--As a measure of liquidity, healthy firms usually hold adequate amount of cash and equivalent. However, this is not absolute because when a firm is in the disadvantage position of supply chain, it must maintain solvency by holding much cash. It’s reasonable to consider these firms are facing high external financing costs.Cash Flow--Cash flow is a good measure of the sufficiency of internal funds. But this indicator is extremely volatile that is not proper to measure a firm’s intrinsic characteristics hence the external financing constraints.Tobin’s Q--It’s an efficient indicator to firm’s investment chances. However, for firms in fast growing stage, investment usually grows in forms of increasing in inventories or account receivables etc. rather than fixed investment.Leverage--Conventionally, low leverage firms are considered facing less financial risk. But2Calculating Q at the beginning of a firm's fiscal year provides a better measurement of investment opportunities according to the regression of I on cash flow and on Q.one has to determine the source of low leverage. Some firms, mainly high-tech firms, which hold little collateral, are likely to be denied by banks; meanwhile do not have access to bond market. This indicator alone is not convincing.Manager’s words--For their own reputation, managers tend to provide good information about the firm.In conclusion, these indicators have limitations separately. However, when considering comprehensively, they can represent a firm’s financial status and thus the level of financial constraints.FHP apply dividend/income ratio as the classification criterion, which emphases on the sufficiency of internal funds. Obviously, KZ’s criteria consider more about the external financing costs via investigating the nature of firms. They focus on distinct perspectives of financial constraints.KZ's research was claimed due to the limit of samples and the lack of heterogeneity in samples. Furthermore, KZ’s samples are all manufacture firms, which in my opinion are potentially affected by some industrial factors or events. It will be more convincing if the author selected firms across different industrial. In 1999, Cleary obtains similar results for a large (over 1300) and undeniable heterogeneous sample of firms.The observation period is across more than one business cycle, which eliminates the disturbing from some special years.Financial constraints are still amount of the hottest topic in this field. Subsequent researches mainly focus on whether the investment-cash flow sensitivity to measure financial constraint is valid under different classification criteria.ReferenceBo, Hong, Robert Lensink, and Elmer Sterken. "Uncertainty and financing constraints." European Finance Review 7.2 (2003): 297-321.Cleary, Sean. "International corporate investment and the relationships between financial constraint measures." Journal of Banking & Finance 30.5 (2006): 1559-1580.Fazzari, Steven, R. Glenn Hubbard, and Bruce C. Petersen. "Financing constraints and corporate investment." (1988).Fazzari, Steven M., R. Glenn Hubbard, and Bruce C. Petersen. Financing constraints and corporate investment: Response to Kaplan and Zingales. No. w5462. National Bureau of Economic Research, 2000.Fazzari, Steven M., R. Glenn Hubbard, and Bruce C. Petersen. "Investment-cash flow sensitivities are useful: A comment on Kaplan and Zingales." The Quarterly Journal of Economics 115.2 (2000): 695-705.Kaplan, Steven N., and Luigi Zingales. "Do investment-cash flow sensitivities provide useful measures of financing constraints?." The Quarterly Journal of Economics 112.1 (1997): 169-215.Kaplan, Steven N., and Luigi Zingales. "Investment-cash flow sensitivities are not valid measures of financing constraints." The Quarterly Journal of Economics 115.2 (2000): 707-712.。

货币政策调控、融资约束与投资效率

货币政策调控、融资约束与投资效率

货币政策调控、融资约束与投资效率山成英【摘要】采用经典的FHP模型和Richardson模型,基于中国A股上市公司的样本数据,实证检验表明,衡量货币政策调控状况的金融状况指数(FCI)与企业的投资现金流量敏感系数为负向关系,FCI与投资效率为显著正向关系,即宽松的货币政策调控可以缓解企业的融资约束,有效调节企业的投资过度、投资不足等投资非效率行为.实证研究得出的结论与经典结论一致,支持了宽松的货币政策调控的政策取向.【期刊名称】《青海金融》【年(卷),期】2016(000)006【总页数】4页(P4-7)【关键词】金融状况指数;逆周期;融资约束;投资效率【作者】山成英【作者单位】中国人民银行西宁中心支行青海西宁810001【正文语种】中文【中图分类】F820.32000年以来,中国经济经历了一个完整的货币扩张与收缩周期。

与此同时,央行为保障经济平稳健康运行,货币政策也经历一个完整的逆周期调控过程。

但是我们观察到,一方面,在货币扩张期间,企业在某种程度上对紧缩的货币政策没有表现出敏感性,其投融资行为仍然高度活跃;另一方面,在货币紧缩期间,宽松的货币政策对企业投融资扩张的效果似乎非常有限,经济下行的压力不断加大。

针对上述现象,本文将采用经典的FHP模型和Richardson模型,基于中国A股上市公司的样本数据,对央行货币政策调控对企业投融资的影响进行经验检验,研究货币政策调控是否缓解了企业的融资约束和促进企业的投融资效率。

关于货币政策调控与企业投融资的研究可以划分为总量研究和结构两大类,而总量研究是主流,结构研究是非主流。

总量研究的开创性研究起于凯恩斯,他在《货币通论》中系统论述了为什么需要通过宽松的货币政策和财政政策来化解经济危机问题,紧缩性的宏观经济政策只会使资本主义经济体系加速崩溃。

凯恩斯的上述论点成为后续研究的一个重要指引,后续研究主要围绕企业的融资约束和投资效率,讨论的具体问题则是货币政策调控是否缓解企业的融资约束和促进了企业的投资效率。

融资约束、会计信息质量与研发投入-最新年精选文档

融资约束、会计信息质量与研发投入-最新年精选文档

融资约束、会计信息质量与研发投入一、引言融资约束理论认为,在企业现金流有限的同时,如果企业面临的外部融资成本较高,即使企业有净现值为正的项目,也会选择放弃,此时就发生了融资约束.融资约束源于信息不对称,Jensen和Meckling(1976)研究发现在债权人和股东之间存在的信息不对称导致外部投资者在签署合约时,会要求一个风险溢价,这种风险溢价的存在使内外部融资成本出现差异.Jaffee 和Russell(1976)指出,当贷款者不能辨认借款者的质量时,他们会提高借款的利息率,或者提供有限的贷款规模。

Stiglitz 和Weiss(1981)指出,贷款者不能采取提高利息率的方法来区分出高质量的借款者,因为伴随着利息率的提高,离开信贷市场的是那些高质量的借款者。

而剩下来的低质量借款者,会使得还款的违约率增加,进而导致贷款者的收益减少.这种情况下的信贷市场将呈现出一种均衡状态,在此时的市场利息率下,市场上出现了对贷款的超额需求,只有愿意以此利息率获得资金的借款者才会获得所需资金。

由于出现了超额需求,信贷规模受到限制,外部融资成本上升,因此出现了融资约束.研发投入同样面临着资金来源的问题。

与一般投资相比,研发投入有其自身的特点。

首先,研发活动不会是一帆风顺的,可能面临着各种失败的风险。

其次,研发活动往往涉及到企业的核心技术、商业秘密等问题,企业不会也不愿意对其研发活动进行完整的披露。

另外,企业需要不断更新、提升其所掌握的核心技术,才能使自己在市场竞争中保持一定的优势,因此,研发活动需要不断地进行资金投入.因此,企业需要保持稳定的资金来源,以支持其研发活动,否则研发活动将面临融资约束的问题。

在资本市场上,公司通过信息披露,向市场、投资者传递出公司财务状况、经营成果的有关信息,这就有利于降低公司与外部投资者的信息不对称程度,进而在一定程度上缓解了企业面临的融资约束问题,帮助企业获得更多的外部融资,促进企业的研发投入。

_融资约束、公司治理与投资—现金流敏感性——基于中国上市公司的实证研究

前人关于融资约束与投资-现金流敏感性关系的 研究主要是基于信息不对称理论。然而,信息不对称 与代理成本可能同时发生作用。如果代理成本引起的
105 当代财经
Contemporary Finance & Economics
当代财经 2008 年第 12 期 总第 289 期
公司治理问题显著影响公司投资行为的话,那么融资 约束与投资-现金流敏感性关系就更加复杂,可能呈 现非单调性。
(一) 正相关关系
司治理结构不完善。作为创始人的大股东在顺驰中国 的持股比例高达 95%,这导致公司决策错误时很难得到 有效的制衡。
Fazzari、 Hubbard 和 Petersen (1988, 以 下 简 称 FHP) 对融资约束与企业投资-现金流敏感性之间的关 系作了开创性的研究,他们以股利支付率度量融资约
融资约束、公司治理与投资—现金流敏感性— ——基于中国上市公司的实证研究
表明,融资约束高的公司 (小规模公司) 相对于融资 约束低的公司 (大规模公司) 具有更高的投资—现金 流敏感性。Oliner 和 Rudebusch (1992) 分析了 99 家纽 约股票交易所上市公司和 21 家柜台交易公司在 1977 年到1983 年之间的投资与现金流变化。[7]研究结果表明, 柜台交易的公司中内幕信息导致的内部人交易行为较 为严重,公司的投资支出更依赖于内部现金流。
2008年第12期 总第289期
当代财经 CONTEMPORARY FINANCE & ECONOMICS
NO.12, 2008 Serial NO.289
融资约束、公司治理与投资—现金流敏感性
—— —基于中国上市公司的实证研究
汪 强,林 晨,吴世农
(厦门大学用中国上市公司的数据实证研究了融资约束与投资 - 现金流关系。研究发现: (1) 总体 来说,融资约束较高的企业比融资约束较低的企业有更高的投资—现金流敏感性。 (2) 公司治理比较好的情况 下,融资约束程度越高的企业有更高的投资—现金流敏感性;公司治理比较差的情况下,中等融资约束企业的 投资—现金流敏感性比高、低融资约束企业低,融资约束程度与投资 - 现金流敏感性呈 U 形。上述发现表明, 信息不对称理论无法完全解释融资约束程度与投资 - 现金流敏感性的关系,公司治理可能是导致相关研究结论 不一致的重要因素。

融资约束_商业信用与企业投资行为

商业信用是指在日常赊销交易中供应方向购买方提供的一种短期融资,商业信用本质上 是二者之间的一种契约安排。现有理论主要从四个角度对在存在银行信贷的背景下,商业信 用仍然存在及被广泛使用进行了解释。具体而言,其一是商业信用的融资比较优势理论;其 二是商业信用的价格歧视理论;其三是商业信用的交易成本理论;其四则是信贷配给理论。
标。 国内学者对融资约束的研究尚处于起步阶段,由于学者们使用的融资约束衡量标准不尽
相同,得出的结论也存在差异性。 沈红波等(2010)以 2001-2006 年我国上市公司制造业行业的公司为研究样本,研究结
果显示,我国上市公司存在着明显的融资约束现象,而且,金融发展能够缓解融资约束,特 别的,民营上市公司的融资约束情况会因为金融发展水平的提高得到更大的缓解。
杨勇等2009研究了银行借款和商业信用对公司治理的影响他们以上市公司ceo更换作为公司治理的代理变量并按照公司的盈利水平对样本分组研究研究发现无论是经营业绩为负的公司还是经营业绩一般的公司商业信用都与强制更换ceo呈正相关关系因此得出商业信用能够改善上市公司治理的结论
融资约束、商业信用与企业投资行为
(二)文献综述
1、融资约束文献回顾 融资约束是在资本市场不完善的情况下,企业由于内外部融资成本存在较大差异,导致 内外融资具有不完全替代性,并由此产生投资低于最优水平、投资决策过于依赖企业内部资 金的问题。 Fazzari,Hubbard 和 Petersen(1988)(简称为 FHP)认为融资约束与投资‐现金流量敏 感系数正相关,也就是说,企业面临的融资约束越严重,企业的投资‐现金流量敏感性越强。 然而,Kaplan 和 Zingales(1997)重新计算了 FHP 的样本数据,却得到了截然相反的结论, 也就是说,融资约束与投资-现金流量敏感度负相关。这一结论在使用多种融资约束指标衡 量后依然不变。 Whited 和 Wu(2006)在考察融资约束与股票收益时,通过与 KZ 指数的比较分析,构 建了一个关于融资约束的衡量指数——WW 指数。他们认为 KZ 指数并不能完全的抓住融 资约束的实质,具有不合适性,因为 KZ 指数包括了托宾 Q 而且计算中含有错误。他们最 终设计得到了融资约束的衡量指标——WW 指数。这也正是本文所采用的融资约束衡量指

融资约束测度方式研究述评

融资约束测度方式研究述评作者:杨芳来源:《时代金融》2016年第08期【摘要】融资约束会制约企业的发展。

融资约束的测度方式可以分为使用公司代理特征变量和使用模型构造指数两类,其中的指标各有优劣,在实际运用中,需要结合一国现实条件进行选择。

【关键词】融资约束测度股利支付水平在资本市场不完善的情况下,信息不对称、交易成本等原因导致企业面对的外源融资成本高于内部资本,而当内外部融资成本的差异很大时,企业投资决策对内部资金的依赖性会很高,甚至当内部资金不足时,企业难以以合理成本获取资金,而不得已会放弃一些净现值为正的投资项目,这即企业面临的融资约束(Fazzari et al.,1988)。

融资约束的存在导致企业投资无法达到最优水平,最终会制约一国经济在量和质上的发展。

自1988年Fazzari,Hubbard和Peterson(下文以FHP表示)首次实证研究融资约束开始,国内外学者对度量融资约束的问题进行了大量的研究,在不断弥补前人研究的不足的过程中,从不同的角度出发,提出了许多衡量指标和方法。

衡量方式大致可以分为使用公司代理特征变量和使用模型构造指数或系数两种。

一、使用公司特征代理变量(一)股利支付水平FHP(1988)基于股利支付高低来衡量企业融资约束的强弱程度,他们认为,融资约束程度较严重的公司,更依赖于内部现金流,而股利支付将会减少企业可利用的资金,因而往往较少进行股利发放;而融资约束程度不高的企业,对内部现金流的需求并没有那么强烈,因而会支付较高的股利。

而随后的一些研究,如Fazzari和Petersen(1993),Bond和Meghir (1994),Mills,Morling和Tease(1994)等也使用股利支付水平来判断企业融资约束程度,并得到与FHP(1988)相似的结论。

在国内的相关研究中,魏锋和刘星(2004),张纯和吕伟(2009)也证明了股利支付率作为融资约束的代理变量是合理的。

当融资无摩擦时投资对于现金流的敏感度

当融资无摩擦时投资对于现金流的敏感度AYDOGAN ALTI摘要我在基准情形中分析了当融资是无摩擦时一家公司的投资对于其现金流的敏感性。

在之前的研究中这种敏感性被用来当做度量融资约束的一种方法。

我发现在无摩擦的基准情形中得到的投资现金流敏感性无论在大小或是呈现的方式上都和数据中观察的结果是类似的。

尤其是对于高成长性且股息支付比率较低公司来说,这种敏感性程度更高。

托宾q被认为是对这些公司近期投资计划的一种更加不准确的衡量方法.一家公司的投资对于其现金流的高敏感度是否意味着这家公司面临着融资约束呢?始于Fazzari,Hubbard和Petersen(1988)(后文简称为FHP)的大量研究表明,面临着融资约束的公司应该会表现出投资与现金流的高度敏感性,这正反映了公司内外部资金成本之间的差异。

实证结果看起来能够支持这个假设,因为那些对先天条件,例如规模,股息支付比率或者杠杆方面有约束的公司有更高的现金流敏感度,甚至在根据托宾q条件控制他们的投资机会后。

然而,这些结果的可靠性严重的依赖于q是否是一个选择投资机会集的可靠变量。

如果q在某些公司中表现差,高敏感度就更可能出现在这些公司中,因为现金流反映了投资机会的信息。

这种分析并不新鲜。

在FHP的讨论中,Poterba(1988)是第一个指出对q的错误估计可能会影响实证的结果,在后来的研究中也表达了类似的观点。

尽管定性的分析已经众所周知了,但是还没有人研究过投资与现金流敏感度的定量影响。

现金流与投资机会集之间的联系能够解释观察到的敏感度大小吗?或者是在融资无摩擦的假设下,这种敏感度大到无法解释?这篇文章尝试着通过分析无融资约束的基准情形得到的投资-现金流敏感度去回答之前提出的问题。

在Lucas(1967),Treadway(1969)和Hayashi(1982)的标准新古典主义模型之上,我建立了一个公司增长和投资的模型。

文章的创新之处在于它讨论了年轻公司面临的增长前景的不确定性以及现金流提供的新信息解决了不确定性的问题。

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PART 1. OutlineMM theory founded the benchmark in corporate finance that firms’financing decision is irrelevant to the investment decision, which relies on the assumption that the market is efficient and frictionless. However, considering the reality of financial market, external financing doesn’t provide a perfect substitute for internal capital. In 1970s, Joseph E. Stiglitz first proved the tax structure has an impact on firms’ financing structure1and came up with the concept of financial constraint.In 1988’s classic paper, Fazzari, Hubbard and Petersen discussed extra costs of equity financing and debt which caused by capital market imperfections, especially asymmetric information. Via studying the investment behaviours in groups of firms categorised by a ratio of dividends to income, authors attempted to create links between financing constraints and investment varies. Their results supported that the sensitivity of investment to cash flow is a reliable indicator of corporates’ financial constraints. FHP’s researches provided several important perspectives on the topic.Kaplan and Zingales’s research challenged FHP’s conclusion. Basically, their study shows that high investment-cash flow sensitivity does not necessarily suggest firms are more financially constrained.Theoretically, even in a one-period model, examining the sensitivities of investment to W (internal funds) and to k (wedge between the internal and external costs of funds), authors could conclude that investment-cash flow sensitivity do not necessarily accord with the extent of financial constraints.Empirical evidence confirms the nonmonotonic relationship between these two factors.KZ analysed the 49 firms with abnormally high investment-cash flow sensitivity; by deeply exploring the fundamentals of sample firms (including operating efficiency, liquidity, financial statements and notes to annual reports for each fiscal-year), authors found that almost 40% of them were capable to increase investment in every year of the observing period.According to qualitative information in the annual reports and quantitative information in the financial statements and notes, KZ classified the 49 observations into five groups (NFC, LNFC, PFC, LFC and FC). Classifications result shows that cash stocks, cash flow, Q, unused lines of credit and interest coverage are monotonically declining from NFC to FC, which supports the validation of classification scheme. Critically, regressions reveal that the NFC firms exhibit the highest investment-cash flow sensitivity (coefficient is statistically greater than that of other firms).Reexamine validity of the finding: when splitting data into subperiods, the results still hold; 1Stiglitz, Joseph E. "Taxation, corporate financial policy, and the cost of capital." Journal of Public Economics 2.1 (1973): 1-34.when grouping firms based on quantitative criteria, the same results still hold.KZ’s conclusion on investment-cash flow sensitivity and financial constrain is conflicted with FHP’s. Possible reasons are as follows:•KZ applied Euler equation, avoiding the mismeasurement of Tobin’s Q2;•Fluctuations of outliers affected the sensitivities;• A few firms used cash flow to repay debt, which contribute to the nonmonotonic relationship.If the nonmonotonic relationship generally exists, further researches on investment behaviours are needed to find out the reason.PART 2. Critical EvaluationFinancial constraints should be considered in two ways. First, weather the internal funds are sufficient; second, whether or not the firm’s intrinsic characteristics make it costly to obtain a certain amount of external funds (KZ 2000). KZ’s research provided both theoretical and empirical views on the invalidity of investment-cash flow sensitivity as a measure of financial constraints.KZ delivered the one-period model to prove the nonmonotonicity; however, FHP (2000) stated the sensitivity to internal funds is likely to be irrelevant to financial constraints.An important contribution of KZ is that they used a multi-factor classification. Essentially, they selected several major indicators of firm’s financial condition, assuming that healthier firm’s may face less financial constraints. But these indicators, in some situations, cannot represent the firms’ true status.Cash--As a measure of liquidity, healthy firms usually hold adequate amount of cash and equivalent. However, this is not absolute because when a firm is in the disadvantage position of supply chain, it must maintain solvency by holding much cash. It’s reasonable to consider these firms are facing high external financing costs.Cash Flow--Cash flow is a good measure of the sufficiency of internal funds. But this indicator is extremely volatile that is not proper to measure a firm’s intrinsic characteristics hence the external financing constraints.Tobin’s Q--It’s an efficient indicator to firm’s investment chances. However, for firms in fast growing stage, investment usually grows in forms of increasing in inventories or account receivables etc. rather than fixed investment.Leverage--Conventionally, low leverage firms are considered facing less financial risk. But2Calculating Q at the beginning of a firm's fiscal year provides a better measurement of investment opportunities according to the regression of I on cash flow and on Q.one has to determine the source of low leverage. Some firms, mainly high-tech firms, which hold little collateral, are likely to be denied by banks; meanwhile do not have access to bond market. This indicator alone is not convincing.Manager’s words--For their own reputation, managers tend to provide good information about the firm.In conclusion, these indicators have limitations separately. However, when considering comprehensively, they can represent a firm’s financial status and thus the level of financial constraints.FHP apply dividend/income ratio as the classification criterion, which emphases on the sufficiency of internal funds. Obviously, KZ’s criteria consider more about the external financing costs via investigating the nature of firms. They focus on distinct perspectives of financial constraints.KZ's research was claimed due to the limit of samples and the lack of heterogeneity in samples. Furthermore, KZ’s samples are all manufacture firms, which in my opinion are potentially affected by some industrial factors or events. It will be more convincing if the author selected firms across different industrial. In 1999, Cleary obtains similar results for a large (over 1300) and undeniable heterogeneous sample of firms.The observation period is across more than one business cycle, which eliminates the disturbing from some special years.Financial constraints are still amount of the hottest topic in this field. Subsequent researches mainly focus on whether the investment-cash flow sensitivity to measure financial constraint is valid under different classification criteria.ReferenceBo, Hong, Robert Lensink, and Elmer Sterken. "Uncertainty and financing constraints." European Finance Review 7.2 (2003): 297-321.Cleary, Sean. "International corporate investment and the relationships between financial constraint measures." Journal of Banking & Finance 30.5 (2006): 1559-1580.Fazzari, Steven, R. Glenn Hubbard, and Bruce C. Petersen. "Financing constraints and corporate investment." (1988).Fazzari, Steven M., R. Glenn Hubbard, and Bruce C. Petersen. Financing constraints and corporate investment: Response to Kaplan and Zingales. No. w5462. National Bureau of Economic Research, 2000.Fazzari, Steven M., R. Glenn Hubbard, and Bruce C. Petersen. "Investment-cash flow sensitivities are useful: A comment on Kaplan and Zingales." The Quarterly Journal of Economics 115.2 (2000): 695-705.Kaplan, Steven N., and Luigi Zingales. "Do investment-cash flow sensitivities provide useful measures of financing constraints?." The Quarterly Journal of Economics 112.1 (1997): 169-215.Kaplan, Steven N., and Luigi Zingales. "Investment-cash flow sensitivities are not valid measures of financing constraints." The Quarterly Journal of Economics 115.2 (2000): 707-712.。

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