Preqin Fundraising Data for Hedge Funds
收藏Snowflake2021-04-01 更新2024-05-01 收录
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资源简介:
The Preqin Fundraising Data for Hedge Funds Data set provides a view of all institutional investors that Preqin currently tracks as active in this asset class. This data set contains more than 100 data points covering several thousand institutional investors who are currently known to be actively investing in Hedge Funds.
Tables Included:
- Preqin Investors (firm-level data)
- Preqin Investor Contacts (contact data for these firms)
Fields Included:
- FIRM ID | Unique firm identifier
- FIRM NAME | Name of firm
- FIRM TYPE | Type of firm
- CITY | City firm's main office is based
- INVESTOR CURRENCY | Currency the firm invests in
- AUM (CURR MN) | Assets under management in investor currency
- AUM (USD MN) | Assets under management in US dollars
- AUM (EUR MN) | Assets under management in Euros
- ALLOCATION: ALTERNATIVES (%) | Total amount of assets allocated to alternatives, as a percentage of total assets
- ALLOCATION: ALTERNATIVES (CURR MN) | Total amount of assets allocated to alternatives, denominated in millions of firms local currency
- ALLOCATION: ALTERNATIVES (USD MN) | Total amount of assets allocated to alternatives, denominated in millions of US dollars
- ALLOCATION: ALTERNATIVES (EUR MN) | Total amount of assets allocated to alternatives, denominated in millions of Euros
- ABOUT | About description of the firm
- HF: SUMMARY | Summary of firms investment status in Hedge Funds
- HF: PREFERENCES | Summary of firms strategic and geographic preferences
- HF NEXT 12 MTHS: SUMMARY | Summary of the firms investment plans in Hedge Funds over the next 12 months
Example Use Case:
Use our Fundraising data to enhance your fundraising activity. Our data can easily be synced with your CRM and Reporting tools to give valuable insights into the behaviour and motivations of institutional investors.
提供机构:
Preqin
创建时间:
2021-03-17
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供Preqin追踪的对冲基金领域活跃机构投资者的详细信息,包含公司基本资料、资产管理规模及配置偏好等100余项数据指标,适用于募资活动分析与CRM系统集成。
以上内容由遇见数据集搜集并总结生成



