Valuation Driven Innovation

IF 2.3 Q2 ECONOMICS
Keming Li
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引用次数: 0

Abstract

This paper examines whether and how market valuation influences firm innovation, using an ex ante valuation measure that filters firm size and growth prospects from tangible investment. Specifically, by utilizing the National Bureau of Economic Research (NBER) patent database, I find that firms with high market valuations generate more innovative outputs, as measured by the number of patents and patent citations. Causality is established using mutual fund flows as an exogenous shock, demonstrating a strong effect of market valuation on firm innovation. Consistent with the idea that managers take advantage of irrationally low discount rates by issuing equity and investing the proceeds, these results are more pronounced among firms with high financial constraints and overvaluation. The sensitivity of innovative output to market valuation varies with equity market timing and sentiment, but is not affected by whether or not firms are issuing equity.

估值驱动型创新
本文研究了市场估值是否以及如何影响企业创新,使用了一种事前估值方法,从有形投资中过滤企业规模和增长前景。具体而言,通过利用美国国家经济研究局(NBER)的专利数据库,我发现高市场估值的公司产生更多的创新产出,以专利和专利引用的数量来衡量。利用共同基金流动作为外生冲击建立因果关系,证明了市场估值对企业创新的强烈影响。与管理者通过发行股票和投资收益来利用不合理的低贴现率的观点一致,这些结果在高财务约束和估值过高的公司中更为明显。创新产出对市场估值的敏感性随股票市场时机和市场情绪而变化,但不受公司是否发行股票的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
34
期刊介绍: The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering. Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome. Officially cited as: Asia-Pac Financ Markets
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