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

EFTA01385943

← Prev Next →
Loading document…

27 March 2015 US Fixed Income Weekly The top portion on the graph reflects industry sectors, and bottom portion shows a breakout by leverage category. Left side displays current average spread-per-turn (SPT) in basis points, while the right-hand side shows percentile ranking score of current SPT vs history since Dec 2009. On a sector level, the interesting conclusions are: everything is trading to a certain degree of tightness, with an average percentile ranking score of 20%, which perhaps is not an eye opener for most experienced market participants. Specifically on sectors, autos and telecoms look relatively interesting here, while tech and gaming are the most overvalued based on this metric. We note that autos also came out as the most undervalued sector on our equity- reaction-to-oil screen in January. Auto equities have outperformed S&P 500 by 5.5% since that publication date, and we continue to believe, reinforced by today's findings, that there is more to go in capturing autos outperformance in both equities and credit. The sector that came out most overvalued in equities in January - utilities - has proceeded to underperform S&P 500 by 12.5% since then. It did not make it to our HY SPT screen due to a low issuer count, but the original equity signal pointed towards a 30% overvaluation, so perhaps more to go there too. We excluded energy from the above SPT sector analysis for the obvious reason that the sector is too distressed at this point to be meaningfully judged against the rest of the market through the lenses of a single valuation framework. Here, we think a better approach would be to look at debt-to-enterprise-values as a factor for bond dollar prices. As a reminder, we have previously shown this indicator to have strong predictive power over future defaults (names trading over 65% D/EV have experienced a 1:3 subsequent default probability). Here, in Figure 4 we are showing US energy single-Bs and CCCs bond prices (average

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