技能获取和数据销售

Shiyang Huang, Y. Xiong, Liyan Yang
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引用次数: 7

摘要

我们开发了一个数据销售模型来研究替代数据对金融市场的影响。投资者需要掌握处理购买的原始数据的技能,而开发这种技能的成本很高,而且涉及相当大的不确定性。数据供应商控制数据样本的大小,以影响投资者可以从购买的数据中提取的信息的精度。在技能获取成本中,价格信息性呈驼峰形,而在技能获取成本中,资本成本和回报波动性呈u形。类似的模式也可以出现在技能平均值和波动性上。我们的分析表明,基金和数据产业是相互促进的。这篇论文被金融学的阿戈斯蒂诺·卡波尼接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Skill Acquisition and Data Sales
We develop a data-sales model to study the implications of alternative data for financial markets. Investors acquire skills to process the purchased raw data, and developing such skills is costly and involves considerable uncertainty. The data vendor controls the size of the data sample to influence the precision of the information investors can extract from the purchased data. Price informativeness is hump-shaped in skill-acquisition costs although the cost of capital and return volatility are U-shaped in skill-acquisition costs. Similar patterns can arise for skill mean and volatility. Our analysis suggests that the funds and data industries foster each other. This paper was accepted by Agostino Capponi, finance.
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