Stock Forecast Based On a Predictive Algorithm | I Know First |hedge Archives - Stock Forecast Based On a Predictive Algorithm

Hedge and Safe Haven Financial Assets

This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Gold, short-term treasury bills, long-term treasury bonds, the spread between the long-term treasury and corporate bonds, 5-month volatility, and 1-month volatility are uncorrelated or negatively correlated with the S&P500 making them good candidates for a role of a hedge asset.
5-month and 1-month volatility as exchange trade products, and also the short-term government bills and long-term government bonds able to play a role of a safe haven asset.
Correlation analysis of the S&P500 and TNX shows that the correlation structure is not consistent from data frame to data frame.

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The Tesla stock forecast was written by Hugh Camiener, Analyst at I Know First. Bachelor of Arts candidate at Columbia University.

Hedge funds are a type of investment that uses collective funds to generate high returns for their investors.
Currently, there are over 10,000 different hedge funds who manage around $3 Trillion in assets over a multitude of different sectors.
AI Can give hedge funds a competitive advantage, analyzing numerous amounts of data beyond human comprehension.
Hedge funds incorporating AI had returns of 34% over three years, in comparison to 12% for those who did not.
I Know First’s Algorithm is perfectly suited for large financial institutions like hedge funds.

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The article was written by Jacob Saphir, a Financial Analyst at I Know First.

Summary:

Economic View: Depreciating currency in the British pound and Russian Ruble prompting gold purchase
Political Factor: Federal Reserve Interest Rate, Negative Correlation between Dollar and Gold, and 2016 US Election
Bank Forecast: Positive Outlook in Gold