Correlation Between Meta Platforms and ARCA Oil

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

Diversification Opportunities for Meta Platforms and ARCA Oil

-0.37
  Correlation Coefficient

Very good diversification

The 3 months correlation between Meta and ARCA is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and ARCA Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARCA 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 ARCA Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARCA Oil has no effect on the direction of Meta Platforms i.e., Meta Platforms and ARCA Oil go up and down completely randomly.
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Pair Corralation between Meta Platforms and ARCA Oil

Given the investment horizon of 90 days Meta Platforms is expected to generate 1.58 times more return on investment than ARCA Oil. However, Meta Platforms is 1.58 times more volatile than ARCA Oil. It trades about 0.13 of its potential returns per unit of risk. ARCA Oil is currently generating about -0.47 per unit of risk. If you would invest  57,386  in Meta Platforms on September 29, 2024 and sell it today you would earn a total of  2,595  from holding Meta Platforms or generate 4.52% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Meta Platforms  vs.  ARCA Oil

 Performance 
       Timeline  

Meta Platforms and ARCA Oil Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Meta Platforms and ARCA Oil

The main advantage of trading using opposite Meta Platforms and ARCA Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, ARCA Oil 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 ARCA Oil will offset losses from the drop in ARCA Oil's long position.
The idea behind Meta Platforms and ARCA 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.
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

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