Correlation Between Apollo Medical and RELIANCE STEEL
Can any of the company-specific risk be diversified away by investing in both Apollo Medical and RELIANCE STEEL 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 RELIANCE STEEL 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 RELIANCE STEEL AL, you can compare the effects of market volatilities on Apollo Medical and RELIANCE STEEL 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 RELIANCE STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apollo Medical and RELIANCE STEEL.
Diversification Opportunities for Apollo Medical and RELIANCE STEEL
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Apollo and RELIANCE is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Apollo Medical Holdings and RELIANCE STEEL AL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RELIANCE STEEL AL 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 RELIANCE STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RELIANCE STEEL AL has no effect on the direction of Apollo Medical i.e., Apollo Medical and RELIANCE STEEL go up and down completely randomly.
Pair Corralation between Apollo Medical and RELIANCE STEEL
Assuming the 90 days horizon Apollo Medical is expected to generate 1.51 times less return on investment than RELIANCE STEEL. But when comparing it to its historical volatility, Apollo Medical Holdings is 1.24 times less risky than RELIANCE STEEL. It trades about 0.13 of its potential returns per unit of risk. RELIANCE STEEL AL is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 25,756 in RELIANCE STEEL AL on September 3, 2024 and sell it today you would earn a total of 4,684 from holding RELIANCE STEEL AL or generate 18.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Apollo Medical Holdings vs. RELIANCE STEEL AL
Performance |
Timeline |
Apollo Medical Holdings |
RELIANCE STEEL AL |
Apollo Medical and RELIANCE STEEL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apollo Medical and RELIANCE STEEL
The main advantage of trading using opposite Apollo Medical and RELIANCE STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apollo Medical position performs unexpectedly, RELIANCE STEEL 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 RELIANCE STEEL will offset losses from the drop in RELIANCE STEEL's long position.Apollo Medical vs. MAGNUM MINING EXP | Apollo Medical vs. AVITA Medical | Apollo Medical vs. American Eagle Outfitters | Apollo Medical vs. Zijin Mining Group |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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