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

EFTA01451031

← Prev Next →
Loading document…

II December 2013 GEM Equity Strategy Outlook 2014 2) Value spread is more nuanced through the EM non-financial universe. The valuation spread is far more varied across the non-financial sectors (Figure 17). Energy is the most obvious example of a cheap EM sector relative to returns compared with DM, while Consumer Discretionary. IT and Telcos also look better value. In contrast both Healthcare and Consumer Staples look better in DM whilst Industrials and Materials are relatively even, although EM is a little cheaper in both cases. iFigure 17: EM versus DM by sector - (x) and RoE (9'O) Sector EM WHY ix) FM ROE 1%) OM PAW (XI OM ROE (%) Financials 1.48 13.82 1.25 8.16 Energy 0.94 12.97 1.72 12.98 Materials 1.35 7.64 1.93 9.28 Consumer Discretionary 2.24 15.42 2.94 15.46 Consumer Staples 3.82 14.31 3.63 19.33 Industrials 1.47 7.33 2.55 13.51 Utilities 1.06 5.96 1.47 8.05 Telco 2.38 16.75 2.24 11.74 Information Technology 2.08 17.17 3.19 17.32 Healthcare 3.80 12.15 3.54 16.84 AGGREGATE 1.59 12.76 2.10 12.00 Sant Owls** S* pear wry Anna LP 3) DM ROE in non-financials sector is now better than EM as aggregate margins have converged. A straightforward side-by-side comparison of the DuPont decomposition of the non-financial sectors in DM and EM reveals that the marginal shift of ROE in favour of DM which has taken place over recent years (Figure 18) is mainly due to the almost continual convergence of margins with EM (Figure 19). Whilst leverage has made on increasing contribution to EM returns (Figure 20), it remains lower than in DM, whilst asset turnover has been volatile on a gently rising trend (Figure 21). [Figure 18: EM vs DM non financials.- ROE (1.1a) a.E5I Non 11natRaol• ROE -- C44 Sr 4.44465 ROE 20 1 164 'Si 14 12 10 6 4 21, o1 2403 2001 3:05 9000 200E 2034 2633 2010 2011 3312 2013 Sant ONS464 Int Ifloamberg Mew IA Page 14 Figure 19: EM vs DM non-flnancials

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