Correlation Between Meta Platforms and General American
Can any of the company-specific risk be diversified away by investing in both Meta Platforms and General American 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 General American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms and General American Investors, you can compare the effects of market volatilities on Meta Platforms and General American 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 General American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and General American.
Diversification Opportunities for Meta Platforms and General American
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Meta and General is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and General American Investors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General American Inv 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 General American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General American Inv has no effect on the direction of Meta Platforms i.e., Meta Platforms and General American go up and down completely randomly.
Pair Corralation between Meta Platforms and General American
Given the investment horizon of 90 days Meta Platforms is expected to generate 4.03 times more return on investment than General American. However, Meta Platforms is 4.03 times more volatile than General American Investors. It trades about 0.06 of its potential returns per unit of risk. General American Investors is currently generating about -0.11 per unit of risk. If you would invest 56,324 in Meta Platforms on September 23, 2024 and sell it today you would earn a total of 2,201 from holding Meta Platforms or generate 3.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Meta Platforms vs. General American Investors
Performance |
Timeline |
Meta Platforms |
General American Inv |
Meta Platforms and General American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meta Platforms and General American
The main advantage of trading using opposite Meta Platforms and General American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, General American 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 General American will offset losses from the drop in General American's long position.Meta Platforms vs. Outbrain | Meta Platforms vs. Perion Network | Meta Platforms vs. Taboola Ltd Warrant | Meta Platforms vs. Fiverr International |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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