Correlation Between Meta Platforms and CBOE Crude

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Meta Platforms and CBOE Crude 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 Meta Platforms and CBOE Crude into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms and CBOE Crude Oil, you can compare the effects of market volatilities on Meta Platforms and CBOE Crude 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 Meta Platforms with a short position of CBOE Crude. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and CBOE Crude.

Diversification Opportunities for Meta Platforms and CBOE Crude

-0.38
  Correlation Coefficient

Very good diversification

The 3 months correlation between Meta and CBOE is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and CBOE Crude Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Crude Oil and Meta Platforms 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 Meta Platforms are associated (or correlated) with CBOE Crude. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Crude Oil has no effect on the direction of Meta Platforms i.e., Meta Platforms and CBOE Crude go up and down completely randomly.
    Optimize

Pair Corralation between Meta Platforms and CBOE Crude

Given the investment horizon of 90 days Meta Platforms is expected to generate 0.23 times more return on investment than CBOE Crude. However, Meta Platforms is 4.26 times less risky than CBOE Crude. It trades about 0.05 of its potential returns per unit of risk. CBOE Crude Oil is currently generating about -0.03 per unit of risk. If you would invest  57,198  in Meta Platforms on September 29, 2024 and sell it today you would earn a total of  2,783  from holding Meta Platforms or generate 4.87% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.44%
ValuesDaily Returns

Meta Platforms  vs.  CBOE Crude Oil

 Performance 
       Timeline  

Meta Platforms and CBOE Crude Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Meta Platforms and CBOE Crude

The main advantage of trading using opposite Meta Platforms and CBOE Crude positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, CBOE Crude 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 CBOE Crude will offset losses from the drop in CBOE Crude's long position.
The idea behind Meta Platforms and CBOE Crude Oil 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

Other Complementary Tools

Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon