Correlation Between Meta Platforms and Exchange Income
Can any of the company-specific risk be diversified away by investing in both Meta Platforms and Exchange Income 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 Exchange Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms CDR and Exchange Income, you can compare the effects of market volatilities on Meta Platforms and Exchange Income 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 Exchange Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and Exchange Income.
Diversification Opportunities for Meta Platforms and Exchange Income
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Meta and Exchange is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms CDR and Exchange Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exchange Income 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 CDR are associated (or correlated) with Exchange Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exchange Income has no effect on the direction of Meta Platforms i.e., Meta Platforms and Exchange Income go up and down completely randomly.
Pair Corralation between Meta Platforms and Exchange Income
Assuming the 90 days trading horizon Meta Platforms CDR is expected to generate 1.66 times more return on investment than Exchange Income. However, Meta Platforms is 1.66 times more volatile than Exchange Income. It trades about -0.01 of its potential returns per unit of risk. Exchange Income is currently generating about -0.18 per unit of risk. If you would invest 3,280 in Meta Platforms CDR on December 30, 2024 and sell it today you would lose (101.00) from holding Meta Platforms CDR or give up 3.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Meta Platforms CDR vs. Exchange Income
Performance |
Timeline |
Meta Platforms CDR |
Exchange Income |
Meta Platforms and Exchange Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Meta Platforms and Exchange Income
The main advantage of trading using opposite Meta Platforms and Exchange Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, Exchange Income 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 Exchange Income will offset losses from the drop in Exchange Income's long position.Meta Platforms vs. Canaf Investments | Meta Platforms vs. Perseus Mining | Meta Platforms vs. Atrium Mortgage Investment | Meta Platforms vs. Diversified Royalty Corp |
Exchange Income vs. Capital Power | Exchange Income vs. Keyera Corp | Exchange Income vs. Parkland Fuel | Exchange Income vs. TFI International |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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