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
Entities 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

Entities

👥 Entity Directory

Reports

Browse All Reports 📰 News ⚖ Justice Monitor

Source

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

HOUSE_OVERSIGHT_014464

← Prev Next →
Loading document…

were underweight at the start of the year too and missed the lows. We recognized we were wrong and closed our underweight and while it took us a while but we eventually managed to go overweight in September. The lesson of that is that themes are great, but when the facts change strategists and investors have to change their minds. Chart 11: Cyclicals vs Defensives: from -3.5SD to +3.2SD in 14 months Chart 12: Financials vs Defensives: -2.5SD to +2.5SD post Brexit 4 4 3 3 2 2 1 ; 1 0 0 -| -1 Y) -2 3 3 4 4 Dec-97 Dec-01 Dec-05 Dec-09 Dec-13 Dec-97 Dec-01 Dec-05 Dec-09 Dec-13 ; ; ; ; —Financials vs Defensives - relative price vs 52wk average (SD) —Cyclicals vs Defensives - relative price vs 52wk average (SD) Source: BofA Merrill Lynch Global Research, Bloomberg Source: Re BofA Merrill Lynch Global Research, Bloomberg place this text In fact your best guide to this year was to buy something when it has oversold, underowned and unloved, like Miners and Emerging Markets in February, Banks in July, the Nikkei the day of the US election and sell when the opposite e.g. bonds and defensive equities shortly after Brexit. Our CTI models did actually pick up a number of those events as the table below shows. It also got picked up by our standard deviation analysis. We acted on some but not all of these readings. The lesson, with the benefit of hindsight, is to pay more attention to them. Indeed, our recent decision to downgrade both Banks and Basic Resources reflected very high readings on our models. Table 1: Reflation rotation very stretched on our CTIs post-Trump Table 2: While opposite true immediately post-Brexit Asset 11/11/2016 10/41/2016 09/11/2016 Asset 29/06/2016 28/06/2016 27/06/2016 EUR/GBP 46 44 -12 Relative Stoxx Autos -95 -39 9 German 10y Bonds 66 61 24 Relative Stoxx Banks -80 -83 -86 US 10y Bonds 96 96 93 Relative Stoxx Basic Resources 21 3 0 Stoxx Banks 80 Al 0 Relative Stoxx Chemicals 2 19 40 Stoxx Basic Resources 92 93 92 Relative Stoxx Construction & Materia

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