Correlation Between Oracle and USCF ETF

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Can any of the company-specific risk be diversified away by investing in both Oracle and USCF ETF at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Oracle and USCF ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oracle and USCF ETF Trust, you can compare the effects of market volatilities on Oracle and USCF ETF and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Oracle with a short position of USCF ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle and USCF ETF.

Diversification Opportunities for Oracle and USCF ETF

-0.25
  Correlation Coefficient

Very good diversification

The 3 months correlation between Oracle and USCF is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and USCF ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USCF ETF Trust and Oracle is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Oracle are associated (or correlated) with USCF ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USCF ETF Trust has no effect on the direction of Oracle i.e., Oracle and USCF ETF go up and down completely randomly.

Pair Corralation between Oracle and USCF ETF

Given the investment horizon of 90 days Oracle is expected to under-perform the USCF ETF. In addition to that, Oracle is 3.08 times more volatile than USCF ETF Trust. It trades about -0.12 of its total potential returns per unit of risk. USCF ETF Trust is currently generating about -0.11 per unit of volatility. If you would invest  2,388  in USCF ETF Trust on September 13, 2024 and sell it today you would lose (43.00) from holding USCF ETF Trust or give up 1.8% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy95.45%
ValuesDaily Returns

Oracle  vs.  USCF ETF Trust

 Performance 
       Timeline  
Oracle 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite quite abnormal fundamental indicators, Oracle may actually be approaching a critical reversion point that can send shares even higher in January 2025.
USCF ETF Trust 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in USCF ETF Trust are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, USCF ETF is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

Oracle and USCF ETF Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Oracle and USCF ETF

The main advantage of trading using opposite Oracle and USCF ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, USCF ETF can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in USCF ETF will offset losses from the drop in USCF ETF's long position.
The idea behind Oracle and USCF ETF Trust pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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