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_012095

← Prev Next →
Loading document…

Ss ASSET MANAGEMENT M |. t R November 1, 2017 A “Vixin g ” Puzzle JIMMY CHANG, CFA eh 5 sas Chief Investment Strategist 3 Market’s unusual lack of volatility; oes i Be fearful when others are greedy [email protected] 4“ oo. . ; 9/30/2017 10/31/2017 MTD YTD ctober has historically been a spooky month in which some of the biggest market declines took —_ sci All Country World 487 497 2.0% 17.7% place — the crash of 1929, 1987’s Black Monday, sap soo 2519 2575 2.2% 15.0% the financial crisis of 2008, etc. This October, however, = MSCIEAFE 1974 2003 1.5% 18.9% there were only treats and no tricks — the biggest one-day —_ Russell 2000° 1491 1503 0.8% 10.7% movement for the S&P 500 Index during the month wasa_ _— NASDAQ 6496 6728 3.6% 25.0% 0.81% gain, and the biggest down day had a mere 0.47% = TOPIX 1675 1766 saa 16.3% drop. That said, there was quite a bit of turbulence among = KS?! 2394 2523 5.4% 24.5% individual stocks. The Information Technology sectorhad Emerging Markets 1082 1119 3.5% 29.8% huge month, with the so-called FANG stocks (Facebook, Amazon, Netflix, Google) leading the way up, while some . 2-Year US Treasury Note 1.49% 1.60% 12 41 old economy bellwethers and the much beleaguered brick . . le 10-Year US Treasury Note 2.33% 2.38% 5 -7 and mortar retailers took a beating. The rising hope of parCap US Aag Corp Sord sor 098°. ; 08 . arCap gg Corp Spr 01% 95% - - U.S. tax reform and the continued strength of the global . . . BarCap US Corp HY Sprd 3.47% 3.38% 9 a economic expansion lifted U.S. Treasury yields as well as aap rps commodity prices from oil to copper. The U.S. reflation expectation also boosted the greenback. European australian (AUD/$) 1.28 1.31 2.3% 6.3% sovereign bond yields and the euro declined after ECB a7 Real Real/$) 416 say Sam Bee, President Draghi announced a reduction in monthly asset gyich Pound (SIGBP) _ 73 bo% 7.65% purchases starting if 2018, but promised a longer Euro ($/Euro) 148 146 4.4% 40.7% duration of QE. China completed its

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
▸ Research Notes 0
No notes yet.
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