Correlation Between Apollo Medical and Metalla Royalty
Can any of the company-specific risk be diversified away by investing in both Apollo Medical and Metalla Royalty 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 Apollo Medical and Metalla Royalty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apollo Medical Holdings and Metalla Royalty Streaming, you can compare the effects of market volatilities on Apollo Medical and Metalla Royalty 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 Apollo Medical with a short position of Metalla Royalty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apollo Medical and Metalla Royalty.
Diversification Opportunities for Apollo Medical and Metalla Royalty
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Apollo and Metalla is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Apollo Medical Holdings and Metalla Royalty Streaming in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metalla Royalty Streaming and Apollo Medical 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 Apollo Medical Holdings are associated (or correlated) with Metalla Royalty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metalla Royalty Streaming has no effect on the direction of Apollo Medical i.e., Apollo Medical and Metalla Royalty go up and down completely randomly.
Pair Corralation between Apollo Medical and Metalla Royalty
Assuming the 90 days horizon Apollo Medical Holdings is expected to generate 0.46 times more return on investment than Metalla Royalty. However, Apollo Medical Holdings is 2.16 times less risky than Metalla Royalty. It trades about -0.05 of its potential returns per unit of risk. Metalla Royalty Streaming is currently generating about -0.05 per unit of risk. If you would invest 3,580 in Apollo Medical Holdings on September 22, 2024 and sell it today you would lose (240.00) from holding Apollo Medical Holdings or give up 6.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Apollo Medical Holdings vs. Metalla Royalty Streaming
Performance |
Timeline |
Apollo Medical Holdings |
Metalla Royalty Streaming |
Apollo Medical and Metalla Royalty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apollo Medical and Metalla Royalty
The main advantage of trading using opposite Apollo Medical and Metalla Royalty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apollo Medical position performs unexpectedly, Metalla Royalty 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 Metalla Royalty will offset losses from the drop in Metalla Royalty's long position.Apollo Medical vs. Meiko Electronics Co | Apollo Medical vs. OFFICE DEPOT | Apollo Medical vs. STMICROELECTRONICS | Apollo Medical vs. Arrow Electronics |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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