Correlation Between Meta Platforms and Nasdaq 100
Can any of the company-specific risk be diversified away by investing in both Meta Platforms and Nasdaq 100 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 Nasdaq 100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms and Nasdaq 100, you can compare the effects of market volatilities on Meta Platforms and Nasdaq 100 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 Nasdaq 100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and Nasdaq 100.
Diversification Opportunities for Meta Platforms and Nasdaq 100
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Meta and Nasdaq is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and Nasdaq 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 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 Nasdaq 100. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 has no effect on the direction of Meta Platforms i.e., Meta Platforms and Nasdaq 100 go up and down completely randomly.
Pair Corralation between Meta Platforms and Nasdaq 100
Given the investment horizon of 90 days Meta Platforms is expected to generate 2.12 times more return on investment than Nasdaq 100. However, Meta Platforms is 2.12 times more volatile than Nasdaq 100. It trades about 0.14 of its potential returns per unit of risk. Nasdaq 100 is currently generating about 0.13 per unit of risk. If you would invest 12,953 in Meta Platforms on September 27, 2024 and sell it today you would earn a total of 47,822 from holding Meta Platforms or generate 369.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Meta Platforms vs. Nasdaq 100
Performance |
Timeline |
Meta Platforms and Nasdaq 100 Volatility Contrast
Predicted Return Density |
Returns |
Meta Platforms
Pair trading matchups for Meta Platforms
Nasdaq 100
Pair trading matchups for Nasdaq 100
Pair Trading with Meta Platforms and Nasdaq 100
The main advantage of trading using opposite Meta Platforms and Nasdaq 100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, Nasdaq 100 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 Nasdaq 100 will offset losses from the drop in Nasdaq 100's long position.Meta Platforms vs. Alphabet Inc Class A | Meta Platforms vs. Twilio Inc | Meta Platforms vs. Snap Inc | Meta Platforms vs. Baidu Inc |
Nasdaq 100 vs. Mayfair Gold Corp | Nasdaq 100 vs. Rivian Automotive | Nasdaq 100 vs. Chester Mining | Nasdaq 100 vs. Modine Manufacturing |
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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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