home

epstein-data
Research ▼
🔍 SearchFull-text document search 🤖 Ask AIAI research assistant 🔎 Evidence MapFBI serial resolution 📷 Reverse Image SearchCLIP + face across 614K images 🧑 Find Face BETASearch 29K faces by photo 💻 Run Your OwnDownload & search locally
Explore ▼
📚 Full Text Corpus1.39M docs, 2.77M pages 🌎 Global Heatmap145 countries mentioned 📈 Coverage MapWhat's here 🌌 AtlasSemantic map · 1.29M docs ⚖ Cases53 federal & state cases · per-case briefings 🎤 DepositionsTranscribed audio & video 💬 Hear from the SurvivorsSurvivors in their own words 📖 Cover to Cover-Up24-hour public reading, synced to the video ✉ Wolff–Epstein Emails2,009 messages · 2009–2019
📷 Images92K analyzed photographs 🔍 Multi-DB SearchSearch all databases individually 🗃 All Databases14 searchable databases
Reports
News ▼
📰 NewsCoverage & reporting ⚖ Justice MonitorArrests, charges, lawsuits, firings
Source ▼
🏛 DOJ ProductionOfficial EFTA disclosures 📜 EFTA Law TextPublic Law 119-38 📁 Source Data (GitHub)Open source databases
🌐 Community ResourcesCurated external projects ✉ ContactGeneral · privacy · DMCA · press
❤️ Donate 🎧 Podcast

Research

🔍 Search Documents 🤖 Ask AI 🔎 Evidence Map 📷 Reverse Image Search 🧑 Find Face BETA 💻 Run Your Own Investigator

Explore

📚 Full Text Corpus 🌎 Global Heatmap 📈 Coverage Map 🌌 Atlas ⚖ Cases 🎤 Depositions 💬 Hear from the Survivors 📖 Cover to Cover-Up ✉ Wolff–Epstein Emails 📷 Images 🔍 Multi-DB Search 🗃 All Databases

Reports

Browse All Reports 📰 News ⚖ Justice Monitor

Source

🏛 DOJ Production 📜 EFTA Law 📁 Source Data (GitHub) 🌐 Community Resources ✉ Contact
🎧 Podcast & Newsletter ❤️ Donate Privacy Policy

EFTA01391403

← Prev Next →
Loading document…

GLDUS124 BBR Partners Section 1: Executive Suewnary Glendower Capital Secondary Opportunities Fund IV, LP Bespoke liquidity solutions or GP-led Secondary deals, another key target area for the Fund, are an evolving and growing segment of the market. Today they represent just under 25%12 of the market and include spin-in/spin-outs, tail- end funds (i.e., funds raised at least 10 years ago) restructuring, asset liquidations, and LP tenders. Distinctive investment strategy The Manager intends to replicate the consistent, distinctive investment strategy" pursued by the SOF Team (while at Deutsche Asset Management") in each of the SOF Funds. This strategy is built around five main pillars: ■ A focus on less competitive transactions such as smaller US$5-100 million Fund Secondaries, US$100-250 million GP-led Secondaries and larger, more complex deals where the Glendower SOF Team has an angle. As of September 30, 2017. the SOF Funds had completed 82 transactions with an average deal size of US$40 million. ■ Pursuing a selective. true value approach through bottom-up, in-depth fundamental analysis rather than deal structuring / leveraging. Positioned as a mid-sized alpha value investor vs larger levered beta players. the SOF Team has screened approximately 3.000 potential deals since 2007 valued at around US$400 billion in the aggregate and have transacted around 1% of this deal-flow by value. • Buying margin of safety and mitigating blind pool risk by purchasing mature fund interests at a discount to FMV. The SOF Team has historically purchased at an average 20% discount to FMV over 350 fund interests which were around 80% funded and typically past their investment period at the time of purchase. t6 ■ Pursuing an efficient portfolio management approach. The SOF Team has historically (i) not utilized leverage at transaction level and horded at portfolio level. (ii) systematically implemented currency hedging to mitigate 50 to 60% of market volatility, (

Suggest a category
Misclassified? Pick a better fit.
Community Notes
▸ People Mentioned
▸ Interest Level
Routine Notable Significant
▸ Dates Mentioned
▸ Related Topics
▸ Places & Organizations
▸ Transcription Correction
Related documents
Source Data Investigation Reports DOJ EFTA CC BY-NC-SA 4.0 Contact
Independent research project. Not affiliated with the U.S. Department of Justice, FBI, any government agency, or Anthropic. All analytical text on this site is AI-generated (Claude, Anthropic) and iteratively fact-checked against source documents, but may contain errors. Verify all claims against linked EFTA sources before citing.
Powered by Datasette  ·  ❤️ Buy me a coffee

You are leaving epstein-data.com

You are being redirected to an external website not operated by this project. We are not responsible for the content or privacy practices of external sites.

Powered by Datasette