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New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework

机译:利用共识动力学模型和实物期权框架在不精确信息下评估专利的新程序

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In this paper we present a new procedure for patent selection and ranking that uses a new dynamic consensus model and a new variant of the Matching Method real options framework. The procedure utilizes opinions from multiple experts in the creation of a stream of consensual yearly cash-flows for each patent. The cash-flow stream is used as an input in continuous-time real option valuation of each patent. Continuous time analysis of the patents allows for optimizing the timing of dropping patents from the portfolio. The procedure is relatively easy to apply in a practical setting, and is consistent with financial theory. Using the procedure is illustrated with a numerical example. Ranking result sensitivity to parameter value selection is studied separately. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种使用新的动态共识模型和Matching Method实物期权框架的新变体进行专利选择和排名的新程序。该程序利用多位专家的意见为每个专利创建一致的年度现金流。现金流被用作每个专利的连续实时实物期权评估的输入。连续的专利时间分析可以优化从投资组合中删除专利的时间。该程序在实际环境中相对容易应用,并且与财务理论相一致。数值示例说明了该过程的使用。分别研究排名结果对参数值选择的敏感性。 (C)2017 Elsevier Ltd.保留所有权利。

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