| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29894 |
| 来源ID | Working Paper 29894 |
| Valuing Financial Data | |
| Maryam Farboodi; Dhruv Singal; Laura Veldkamp; Venky Venkateswaran | |
| 发表日期 | 2022-03-28 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | How should an investor value financial data? The answer is complicated because it depends on the characteristics of all investors. We develop a sufficient statistics approach that uses equilibrium asset return moments to summarize all relevant information about others' characteristics. It can value data that is public or private, about one or many assets, relevant for dividends or for sentiment. While different data types have different valuations, heterogeneous investors value the same data very differently, which suggests a low price elasticity for data demand. Heterogeneous investors' data valuations are also affected very differentially by market illiquidity. |
| 主题 | Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets |
| URL | https://www.nber.org/papers/w29894 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/587566 |
| 推荐引用方式 GB/T 7714 | Maryam Farboodi,Dhruv Singal,Laura Veldkamp,et al. Valuing Financial Data. 2022. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w29894.pdf（483KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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