What is the Value of an Innovation? Theory and Evidence on the Stock Market's Reaction to Innovation Announcements

Thomas J. Chemmanur, Dongmei Li, Kevin Tseng, Yu Wang
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引用次数: 2

Abstract

We analyze, theoretically and empirically, the effect of investor attention on the stock market reaction to innovation announcements and suggest how market-based measures of the economic value of patents can be enhanced. We develop a dynamic model with limited investor attention to show that, following the immediate market reaction to innovation announcements, there will also be a stock return drift: the magnitude of the announcement effect will be increasing while that of the post-announcement drift will be decreasing in investor attention. We test our model predictions using two different datasets: a matched sample of pharmaceutical industry patent grant and subsequent FDA drug approval announcements; and a general USPTO sample of patent grant announcements. We use the media coverage of innovation announcements as a proxy for the investor attention paid to them. Consistent with model predictions, we find the following. First, in our matched patent grant and drug approval analysis, the announcement effects of patent grant announcements are smaller than those of FDA drug approval announcements; the subsequent stock return drifts, however, are larger for patent grant announcements. Second, the announcement effect of patent grant announcements is increasing in investor attention while the subsequent stock return drift is decreasing in investor attention. Third, the stock-return drift following patent grant announcements has predictive power for the economic value of patents, over and above the information contained in the announcement effect. Finally, we show that a long-short trading strategy based on investor attention is profitable over the one-month period after patent grant announcements.
创新的价值是什么?股票市场对创新公告反应的理论与证据
我们从理论和实证两方面分析了投资者关注对创新公告的股票市场反应的影响,并建议如何加强基于市场的专利经济价值衡量标准。我们建立了一个投资者关注有限的动态模型,表明在市场对创新公告的即时反应之后,也会出现股票收益漂移:公告效应的大小将增加,而公告后漂移的大小将减少投资者的关注。我们使用两个不同的数据集来测试我们的模型预测:制药行业专利授权和随后的FDA药物批准公告的匹配样本;以及USPTO专利授权公告的一般样本。我们用媒体对创新公告的报道来代表投资者对它们的关注程度。与模型预测一致,我们发现如下。首先,在我们的专利授权与药品批准匹配分析中,专利授权公告的公告效应小于FDA药品批准公告;然而,对于专利授权公告而言,随后的股票回报波动更大。第二,专利授权公告的公告效应在投资者关注中呈上升趋势,而随后的股票收益漂移在投资者关注中呈下降趋势。第三,专利授权公告后的股票收益漂移对专利的经济价值具有预测能力,超出了公告效应中包含的信息。最后,我们证明了基于投资者关注的多空交易策略在专利授权公告后的一个月内是有利可图的。
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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