Valuation Method of Equity-based Security Token Offerings (STO) for Start-Up Companies

J. Pazos
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引用次数: 9

Abstract

The major difficulty to value equity security token offerings (STOs) is the gap in the corpus of finance theory to quantify the discount rate for start-up companies. In this paper, we develop a novel valuation method of equity-based securities token offerings (STO) for start-up companies. The closed-form discount rate function discovered in this paper is time-dependent and piecewise. The first part of the function is exponential; the second part is a power function. The reason is that, in the early years, the probability of survival of start-up firms descends more rapidly than in late years. The probability of survival function discovered has a remarkably good fit with empirical data- for the total of firms and ten industry sectors for which data is available. For the total of firms, we found that the highest discount rate has a 27.0 to 31.8% range when the liquidation value of the non-surviving start-up project is zero; this is considerably higher than observed discount rates of projects for mature firms (7.5%) but considerably less than some published discount rates for start-up projects financed by Venture Capital firms (40.6 to 70% range). To demonstrate the model, we work a valuation example in section six. A valuation method for equity STOs will help to develop a more transparent market for start-ups wanting to raise capital. Most importantly, our results show that for many start-up firms, equity STOs could be an economical alternative to raise capital.
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初创公司基于股权的证券型通证产品(STO)的估值方法
对股权证券型通证产品(sto)进行估值的主要困难是金融理论语料库在量化初创公司的贴现率方面存在差距。在本文中,我们为创业公司开发了一种新的基于股权的证券代币发行(STO)估值方法。本文所发现的闭型贴现率函数是时变的、分段的。函数的第一部分是指数的;第二部分是幂函数。原因是,在创业初期,初创公司的生存几率比后期下降得更快。所发现的生存概率函数与经验数据非常吻合——对于所有公司和十个可获得数据的行业部门而言。对于所有企业,我们发现当破产创业项目的清算价值为零时,最高的贴现率为27.0 ~ 31.8%;这远高于观察到的成熟公司项目贴现率(7.5%),但远低于一些公布的由风险投资公司资助的初创项目贴现率(40.6%至70%不等)。为了演示该模型,我们在第6节中使用一个估值示例。股权sto的估值方法将有助于为希望筹集资金的初创企业建立一个更透明的市场。最重要的是,我们的研究结果表明,对于许多初创公司来说,股权sto可能是一种经济的融资选择。
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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发文量
11
审稿时长
5 weeks
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