Correlation Between Bitcoin and Meta Platforms
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Meta Platforms 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 Bitcoin and Meta Platforms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Meta Platforms, you can compare the effects of market volatilities on Bitcoin and Meta Platforms 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 Bitcoin with a short position of Meta Platforms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Meta Platforms.
Diversification Opportunities for Bitcoin and Meta Platforms
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bitcoin and Meta is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms and Bitcoin 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 Bitcoin are associated (or correlated) with Meta Platforms. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meta Platforms has no effect on the direction of Bitcoin i.e., Bitcoin and Meta Platforms go up and down completely randomly.
Pair Corralation between Bitcoin and Meta Platforms
Assuming the 90 days trading horizon Bitcoin is expected to generate 3.61 times more return on investment than Meta Platforms. However, Bitcoin is 3.61 times more volatile than Meta Platforms. It trades about 0.08 of its potential returns per unit of risk. Meta Platforms is currently generating about 0.16 per unit of risk. If you would invest 2,278,992 in Bitcoin on October 11, 2024 and sell it today you would earn a total of 7,222,002 from holding Bitcoin or generate 316.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 60.49% |
Values | Daily Returns |
Bitcoin vs. Meta Platforms
Performance |
Timeline |
Bitcoin |
Meta Platforms |
Bitcoin and Meta Platforms Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Meta Platforms
The main advantage of trading using opposite Bitcoin and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Meta Platforms 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 Meta Platforms will offset losses from the drop in Meta Platforms' long position.The idea behind Bitcoin and Meta Platforms 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.Meta Platforms vs. Omega Healthcare Investors, | Meta Platforms vs. Verizon Communications | Meta Platforms vs. Hospital Mater Dei | Meta Platforms vs. Nordon Indstrias Metalrgicas |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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