制造网络中的库存生产力和库存回报

Deepak Agrawal, Nikolay Osadchiy
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引用次数: 0

摘要

问题定义:我们提供了一种基于供应网络的库存生产率新视角,以及提高库存生产率的激励措施。方法/结果:利用 2003 年至 2019 年的数据,我们发现位于供应网络上游的企业的库存生产率在实质上和统计上都较低,而程度高、更集中的企业的库存生产率较高。库存生产率高的企业显示出高股票估值和异常回报,上游、低程度和边缘企业的估值和异常回报都会放大。此外,表现最好和最差的公司之间的估值和异常收益差异在上游更大,这表明金融市场为上游公司提高存货生产率提供了超额回报。管理意义:我们的研究表明,企业在供应网络中的上游地位和中心地位是预测其库存生产率和财务业绩的重要指标。我们评估上游性的方法在这方面非常有用。对于运营经理和公司高管来说,我们的研究结果凸显了在供应网络上游提高库存生产率的强烈动机。对于投资者来说,我们的结果表明,供应网络中的仓位数据可以增加基于库存的套利机会:在线附录见 https://doi.org/10.1287/msom.2022.0229 。
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Inventory Productivity and Stock Returns in Manufacturing Networks
Problem definition: We provide a novel, supply network-based perspective on inventory productivity and incentives for its improvement. Methodology/results: Using data from 2003 to 2019, we find that inventory productivity is lower materially and statistically for firms located upstream in the supply network, and higher for high degree and more central firms. Firms with high inventory productivity show high equity valuations and abnormal returns, with both valuations and abnormal returns amplified for upstream, low degree, and peripheral firms. Moreover, the difference in valuations and abnormal returns between best and worst performing firms is greater upstream, suggesting that financial markets offer outsized rewards for improving inventory productivity to upstream firms. Managerial implications: We show that the information about firm’s upstreamness and centrality in the supply network is a valuable predictor of its inventory productivity and financial performance. Our methods for evaluating upstreamness are useful for that purpose. For operations managers and firm executives, our results highlight strong incentives for inventory productivity improvement upstream in the supply network. For investors, we show that supply network position data can sharpen inventory-based arbitrage opportunities.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0229 .
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