不同估值方法的权重如何影响ipo估值绩效?

Douaa Tizniti, Mohammed Rachid Aasri
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摘要

我们研究了分配给每种估值方法的权重对首次公开募股估值绩效的影响。对现有文献的回顾表明,由于大多数研究关注的是所使用的估值方法本身,因此这种估值绩效在分配权重方面缺乏审查。因此,我们比较了个体价值估计和公允价值估计,以检验首次公开募股在分配权重之前和之后的估值表现。因此,承销商将0%至100%的权重分配给所使用的每种估值方法产生的单个价值估计,以达到一个公允价值估计。我们通过偏差、准确性、估值误差以及估值可解释性来评估首次公开募股的估值表现。我们的样本包括与2004年至2018年在摩洛哥证券交易所进行的首次公开发行相关的110项观察结果。研究结果表明,在设定公允价值估计时,赋予个体价值估计的权重可以提高首次公开募股的估值绩效。具体而言,估值误差减少,估值可解释性增加。事实上,乐观和悲观的公允价值估计都比个别价值估计更接近市场价格。进一步分析表明,权重部分吸收了估值乐观和悲观情绪。因此,这些权重降低了首次公开发行定价过低和过高的程度。我们得出结论,不同估值方法的结合提高了首次公开发行的估值绩效。此外,承销商在对首次公开发行进行估值时发挥着重要作用,他们为不同首次公开发行的每种估值方法分配特定权重。结果表明,在设定公允价值估计时,赋予个体价值估计的权重可以提高ipo的估值绩效。具体而言,估值误差减少,估值可解释性增加。更仔细的分析表明,权重降低了ipo定价过低和过高的程度。我们得出结论,不同的估值方法组合可以提高ipo的估值绩效。此外,承销商在为IPO估值时发挥着重要作用,他们为不同IPO的每种估值方法分配特定权重。我们的研究对ipo估值表现做出了两个关键贡献:第一,我们提供了个体价值估计和公允价值的独家比较
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Weights Assigned to Each Valuation Method Impact IPOs Valuation Performance?
We investigate the impact of weights assigned to each valuation method on initial public offerings’ valuation performance. Review of existing literature reveals that such valuation performance lacks examination in terms of weights assigned as most studies focus on the valuation method used per se. Accordingly, we compare between individual value estimate and fair value estimate to examine initial public offerings’ valuation performance before and after assigning weights. Whereby, underwriters assign a weight between 0% and 100% to individual value estimate produced by each valuation method used in order to reach one fair value estimate. We assess initial public offerings’ valuation performance through bias and accuracy valuation errors as well as valuation explainability. Our sample consists of 110 observations associated to initial public offerings conducted on the Moroccan stock exchange between 2004 and 2018. Results reveal that weights assigned to individual value estimate when setting fair value estimate enhance initial public offerings’ valuation performance. Specifically, valuation errors decrease while valuation explainability increases. In fact, both optimistic and pessimistic fair value estimate are closer to market price in comparison with individual value estimate. A closer analysis reveals that weights partially absorb valuation optimism and pessimism. Consequently, these weights reduce the extent of both underpricing and overpricing of initial public offerings. We conclude that combining different valuation methods enhance initial public offerings’ valuation performance. Additionally, underwriters play an important role when valuing initial public offerings by assigning specific weights to each valuation method that differ from one initial public offering to another. Results reveal that weights assigned to individual value estimate when setting fair value estimate enhance IPOs valuation performance. Specifically, valuation errors decrease while valuation explainability increases. A closer analysis reveals that weights reduce the extent of both IPOs underpricing and overpricing. We conclude that combining different valuation methods enhance IPOs valuation performance. Additionally, underwriters play an important role when valuing IPOs by assigning specific weights to each valuation method that differ from one IPO to another. Our study makes two key contributions to IPOs valuation performance First, we provide exclusive comparison of individual value estimate and fair value
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