Documents tagged "Markets"
Found 8 documents with this tag
HOUSE_OVERSIGHT_033226.txt
This document is an email from Landon Thomas Jr. to Jeffrey Epstein, discussing the topic of market movements and how they relate to political events, specifically mentioning President Trump. The email mentions that one hedge fund supporter referred to Trump as "the highest beta prez ever," implying that his presidency will have high highs but also low lows. Thomas asks for information on how closely DJT's actions track with the movements of the market and if he is aware of how much the market is betting on him. He also inquires about whether Trump has discussed this topic with Barrack Obama or Gary Cohn.
HOUSE_OVERSIGHT_033197.txt
The document is an email from a financial reporter named Landon Thomas Jr. to Jeffrey Epstein discussing the New York Times article about Donald Trump being compared to Ronald Reagan and how investors are making bullish bets on Trump's tax cuts and spending policies. The email mentions that Donald Trump is likely pleased with this comparison, and it refers to an earlier prediction made by Epstein about Trump's political success.
HOUSE_OVERSIGHT_032902.txt
The document is an email from Jeffrey E to Richard Kahn discussing the results of the 2016 US presidential election, with a focus on Trump's victory and the impact on markets. The sender seems shocked but not surprised by the outcome, while the recipient acknowledges that pollsters were wrong. There are also mentions of confidential information and attorney-client privilege in the email, suggesting a professional context for their conversation. The document does not provide any additional details or context about the key people, places, and topics beyond what is already covered in the summary.
HOUSE_OVERSIGHT_032735.txt
In this document, Gordon Getty expresses concern about Donald Trump's mental state and fitness for office, suggesting that he may be a psychopath or sociopath. He proposes writing a book on personality disorders in leadership to raise awareness of the issue. The overall theme of the book would be "personality disorders in leadership" with a focus on whether any shoe fits the President.
HOUSE_OVERSIGHT_032338.txt
Richard Kahn sent an email to Jeffrey Epstein expressing shock about Trump's victory and the resulting market impact. He mentioned pollsters looking foolish, and that Dow futures were down by 700 points. The email also contained contact information for HBRK Associates Inc. in New York.
HOUSE_OVERSIGHT_025247.txt
This document is a monthly report on global investment markets from UBS AG's Global Investment Office. It focuses on key areas such as the global economy, equities, fixed income, and foreign exchange markets, with specific sections dedicated to each asset class. The report highlights that global growth is showing signs of improvement, supported by decisive monetary policy from major central banks. In terms of equity markets, the report recommends preferring US and Emerging Markets (EM), while Canada and Australia are less favored due to falling earnings. The report also discusses fixed income markets, highlighting that US high yield bonds remain supported by strong fundamentals and technicals.
HOUSE_OVERSIGHT_024631.txt
The 2018 Cannabis Investment Report provides an overview of the global cannabis consumers and the U.S. legal landscape. It also discusses international cannabis market estimates and capital markets for cannabis companies. The report highlights the growth of private cannabis companies, along with top 100 private cannabis companies in 2018. Additionally, it identifies cannabis industry risk factors and provides a glossary of terms used within the industry.
HOUSE_OVERSIGHT_011170.txt
The document provides statistics related to Brexit sentiment from Twitter on June 23rd, 2016. A total of 302,113 tweets were collected between 12 AM CEST and 11 PM CEST that day. Of these tweets: * 157,075 tweets had a positive sentiment. * 93,305 tweets had a negative sentiment. * 51,750 tweets had a neutral sentiment. The document also includes examples of specific tweets with various sentiments and locations.
