Correlation Between Power Financial and Meta Platforms
Can any of the company-specific risk be diversified away by investing in both Power Financial 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 Power Financial and Meta Platforms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Financial Corp and Meta Platforms CDR, you can compare the effects of market volatilities on Power Financial 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 Power Financial with a short position of Meta Platforms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Financial and Meta Platforms.
Diversification Opportunities for Power Financial and Meta Platforms
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Power and Meta is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Power Financial Corp and Meta Platforms CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms CDR and Power Financial 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 Power Financial Corp 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 CDR has no effect on the direction of Power Financial i.e., Power Financial and Meta Platforms go up and down completely randomly.
Pair Corralation between Power Financial and Meta Platforms
Assuming the 90 days trading horizon Power Financial is expected to generate 6.36 times less return on investment than Meta Platforms. But when comparing it to its historical volatility, Power Financial Corp is 3.22 times less risky than Meta Platforms. It trades about 0.16 of its potential returns per unit of risk. Meta Platforms CDR is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 2,663 in Meta Platforms CDR on April 20, 2025 and sell it today you would earn a total of 1,192 from holding Meta Platforms CDR or generate 44.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Power Financial Corp vs. Meta Platforms CDR
Performance |
Timeline |
Power Financial Corp |
Meta Platforms CDR |
Power Financial and Meta Platforms Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Financial and Meta Platforms
The main advantage of trading using opposite Power Financial and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Financial 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.Power Financial vs. Magna Mining | Power Financial vs. Galway Metals | Power Financial vs. Diversified Royalty Corp | Power Financial vs. Upstart Investments |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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