Measuring Marginal q

V. Gala
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I show that this new measure of real investment opportunities is substantially different from the conventional Tobin’s Q, it yields more plausible and robust estimates of capital adjustment costs, it increases the correlation with investment and the sensitivity of investment to fundamentals. ∗Visiting Associate Professor of Finance. The Wharton School, University of Pennsylvania. vgala@wharton.upenn.edu. I thank Andrew Abel, Hengjie Ai, Frederico Belo, Patrick Bolton, Maria Cecilia Bustamante (discussant), John Cochrane, Janice Eberly (discussant), Bob Goldstein, Francisco Gomes, Joao Gomes, Urban Jermann, Ralph Koijen, Boris Nikolov (discussant), Stavros Panageas, Nick Souleles, Martin Szydlowski, Neng Wang, Toni Whited, Amir Yaron, and seminar participants at The Wharton School, Columbia Business School, University of Minnesota, London Business School, Federal Reserve Board of Governors, EPFL Lausanne, HEC Lausanne, CAPR Workshop 2013, CEPR ESSFM 2013, UBC Summer Finance Conference 2013, EFA Meetings 2014, and AFA Meetings 2015 for valuable comments and suggestions. Tobin’s Q-theory of investment emphasizes a fundamental connection between financial markets and the real economy: marginal q i.e. marginal value of capital is a suffi cient statistic to describe investment behavior (Hayashi, 1982). As any other shadow value in economics, however, the marginal value of capital is not directly observable. To overcome such empirical limitation, researchers have thus mainly used the “observable” (average) Tobin’s Q i.e. ratio of market value of capital to its replacement cost in empirical studies. Such common practice, however, relies on a set of very restrictive underlying assumptions under which marginal q is equal or proportional to (average) Tobin’s Q.1 Despite the long-standing consensus that the restrictive underlying assumptions of perfect competition and homogeneity are misspecified, particularly at the firm level, the use of (average) Tobin’s Q remains still predominant in the empirical literature, primarily for lack of model-free and easy-to-compute alternatives.2 In this paper, I provide a new measure of marginal q to fill this gap. I propose a new methodology to measure marginal q under general assumptions regarding the nature of technology, markets, and preferences. This general procedure is both theoretically justified, and useful, empirically. Under general regularity conditions for the differentiability of the value function and the measurement of its underlying firm state variables, I show how marginal q can be easily estimated as market price elasticity of capital using a two-stage procedure, which I refer to as state-space approach. First, I project the observable market values i.e. value function onto the measurable firmlevel state-space, which includes also the firm capital stock, and then I differentiate the projected market values with respect to the firm capital stock to obtain the marginal value of capital. The key insight underlying the state-space measure of marginal q rests on the joint measurability of the value function i.e. market values and its underlying set of firm state variables. Unlike the demand side of the economy, where one get 1Hayashi (1982), and Abel and Eberly (1994) in a more general stochastic economy, showed that under the joint assumption of perfect competition and homogeneity of a firm production and adjstment cost technologies in investment and capital, marginal q is equal or proportional to (average) Tobin’s Q. 2Possible departures from perfect competition and homogeneity include market power or decreasing returns to scale in production (Gomes, 2001; Cooper and Ejarque, 2003; Abel and Eberly, 2011), and inhomogeneous costs of investment (Abel and Eberly, 1994, 1997; Cooper and Haltiwanger, 2006).","PeriodicalId":416026,"journal":{"name":"Econometric Modeling: Corporate Finance & Governance eJournal","volume":"303 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Corporate Finance & Governance eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3559046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Using asset prices I estimate the marginal value of capital in a dynamic stochastic economy under general assumptions about technology and preferences. The state-space measure of marginal q relies on the joint measurability of the value function, i.e. firm market value, and its underlying firm state variables. Unlike existing methodologies, the state-space marginal q requires only general restrictions on the stochastic discount factor and the firm investment technology, and it uses simple linear estimation methods. Consistently with a large class of neoclassical investment models, I construct the state-space marginal q using the firm capital stock and profitability shocks. I show that this new measure of real investment opportunities is substantially different from the conventional Tobin’s Q, it yields more plausible and robust estimates of capital adjustment costs, it increases the correlation with investment and the sensitivity of investment to fundamentals. ∗Visiting Associate Professor of Finance. The Wharton School, University of Pennsylvania. vgala@wharton.upenn.edu. I thank Andrew Abel, Hengjie Ai, Frederico Belo, Patrick Bolton, Maria Cecilia Bustamante (discussant), John Cochrane, Janice Eberly (discussant), Bob Goldstein, Francisco Gomes, Joao Gomes, Urban Jermann, Ralph Koijen, Boris Nikolov (discussant), Stavros Panageas, Nick Souleles, Martin Szydlowski, Neng Wang, Toni Whited, Amir Yaron, and seminar participants at The Wharton School, Columbia Business School, University of Minnesota, London Business School, Federal Reserve Board of Governors, EPFL Lausanne, HEC Lausanne, CAPR Workshop 2013, CEPR ESSFM 2013, UBC Summer Finance Conference 2013, EFA Meetings 2014, and AFA Meetings 2015 for valuable comments and suggestions. Tobin’s Q-theory of investment emphasizes a fundamental connection between financial markets and the real economy: marginal q i.e. marginal value of capital is a suffi cient statistic to describe investment behavior (Hayashi, 1982). As any other shadow value in economics, however, the marginal value of capital is not directly observable. To overcome such empirical limitation, researchers have thus mainly used the “observable” (average) Tobin’s Q i.e. ratio of market value of capital to its replacement cost in empirical studies. Such common practice, however, relies on a set of very restrictive underlying assumptions under which marginal q is equal or proportional to (average) Tobin’s Q.1 Despite the long-standing consensus that the restrictive underlying assumptions of perfect competition and homogeneity are misspecified, particularly at the firm level, the use of (average) Tobin’s Q remains still predominant in the empirical literature, primarily for lack of model-free and easy-to-compute alternatives.2 In this paper, I provide a new measure of marginal q to fill this gap. I propose a new methodology to measure marginal q under general assumptions regarding the nature of technology, markets, and preferences. This general procedure is both theoretically justified, and useful, empirically. Under general regularity conditions for the differentiability of the value function and the measurement of its underlying firm state variables, I show how marginal q can be easily estimated as market price elasticity of capital using a two-stage procedure, which I refer to as state-space approach. First, I project the observable market values i.e. value function onto the measurable firmlevel state-space, which includes also the firm capital stock, and then I differentiate the projected market values with respect to the firm capital stock to obtain the marginal value of capital. The key insight underlying the state-space measure of marginal q rests on the joint measurability of the value function i.e. market values and its underlying set of firm state variables. Unlike the demand side of the economy, where one get 1Hayashi (1982), and Abel and Eberly (1994) in a more general stochastic economy, showed that under the joint assumption of perfect competition and homogeneity of a firm production and adjstment cost technologies in investment and capital, marginal q is equal or proportional to (average) Tobin’s Q. 2Possible departures from perfect competition and homogeneity include market power or decreasing returns to scale in production (Gomes, 2001; Cooper and Ejarque, 2003; Abel and Eberly, 2011), and inhomogeneous costs of investment (Abel and Eberly, 1994, 1997; Cooper and Haltiwanger, 2006).
测量边际q
我利用资产价格,在关于技术和偏好的一般假设下,估计动态随机经济中资本的边际价值。边际q的状态空间测度依赖于价值函数(即企业市场价值)及其底层企业状态变量的联合可测量性。与现有方法不同,状态空间边际q只需要对随机折现因子和企业投资技术进行一般限制,并且使用简单的线性估计方法。与一大类新古典主义投资模型一致,我使用公司资本存量和盈利能力冲击构建了状态空间边际q。我表明,这种衡量实际投资机会的新方法与传统的托宾Q有很大的不同,它对资本调整成本产生了更合理和稳健的估计,它增加了与投资的相关性以及投资对基本面的敏感性。*金融学客座副教授。宾夕法尼亚大学沃顿商学院。vgala@wharton.upenn.edu。我要感谢Andrew Abel、Hengjie Ai、Frederico Belo、Patrick Bolton、Maria Cecilia Bustamante(讨教嘉宾)、John Cochrane、Janice Eberly(讨教嘉宾)、Bob Goldstein、Francisco Gomes、Joao Gomes、Urban Jermann、Ralph Koijen、Boris Nikolov(讨教嘉宾)、Stavros Panageas、Nick Souleles、Martin Szydlowski、Neng Wang、Toni white、Amir Yaron以及沃顿商学院、哥伦比亚商学院、明尼苏达大学、伦敦商学院、联邦储备委员会、EPFL洛桑,HEC洛桑,CAPR研讨会2013,CEPR ESSFM 2013, UBC夏季金融会议2013,EFA会议2014,AFA会议2015,提供宝贵的意见和建议。托宾的投资q理论强调了金融市场与实体经济之间的基本联系:边际q即资本的边际值是描述投资行为的充分统计量(Hayashi, 1982)。然而,正如经济学中任何其他影子价值一样,资本的边际价值是不能直接观察到的。为了克服这种经验限制,研究人员在实证研究中主要使用“可观察的”(平均)托宾Q,即资本的市场价值与其重置成本之比。然而,这种常见的做法依赖于一组非常限制性的基本假设,在这些假设下,边际q等于或与(平均)托宾q成比例。尽管长期以来的共识是,完全竞争和同质性的限制性基本假设是错误的,特别是在公司层面,(平均)托宾q的使用仍然在实证文献中占主导地位,主要是因为缺乏无模型和易于计算的替代方案在本文中,我提供了一个新的边际q度量来填补这一空白。我提出了一种新的方法,在关于技术、市场和偏好的性质的一般假设下测量边际q。这个一般的程序在理论上是合理的,在经验上也是有用的。在价值函数的可微性和其潜在的公司状态变量的测量的一般规则条件下,我展示了如何使用两阶段过程(我称之为状态空间方法)轻松估计边际q作为资本的市场价格弹性。首先,我将可观察到的市场价值,即价值函数投射到可测量的企业层面状态空间上,其中也包括企业资本存量,然后我将预测的市场价值与企业资本存量区分开来,以获得资本的边际价值。边际q的状态空间测度的关键洞察力取决于价值函数的联合可测量性,即市场价值及其潜在的企业状态变量集。与需求侧经济不同,人们得到1Hayashi(1982)和Abel和Eberly(1994)在更一般的随机经济中表明,在企业生产的完全竞争和同质性以及调整投资和资本技术成本的共同假设下,边际q等于或与(平均)托宾q成比例。2偏离完全竞争和同质性的可能包括市场支配力或生产规模收益递减(Gomes, 2001;Cooper and Ejarque, 2003;Abel and Eberly, 2011)和非均匀投资成本(Abel and Eberly, 1994,1997;Cooper and Haltiwanger, 2006)。
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