Correlation Between Sonic Healthcare and Alto Metals
Can any of the company-specific risk be diversified away by investing in both Sonic Healthcare and Alto Metals 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 Sonic Healthcare and Alto Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sonic Healthcare and Alto Metals, you can compare the effects of market volatilities on Sonic Healthcare and Alto Metals 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 Sonic Healthcare with a short position of Alto Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sonic Healthcare and Alto Metals.
Diversification Opportunities for Sonic Healthcare and Alto Metals
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sonic and Alto is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Sonic Healthcare and Alto Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alto Metals and Sonic Healthcare 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 Sonic Healthcare are associated (or correlated) with Alto Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alto Metals has no effect on the direction of Sonic Healthcare i.e., Sonic Healthcare and Alto Metals go up and down completely randomly.
Pair Corralation between Sonic Healthcare and Alto Metals
Assuming the 90 days trading horizon Sonic Healthcare is expected to under-perform the Alto Metals. In addition to that, Sonic Healthcare is 1.2 times more volatile than Alto Metals. It trades about -0.19 of its total potential returns per unit of risk. Alto Metals is currently generating about 0.29 per unit of volatility. If you would invest 9.20 in Alto Metals on September 28, 2024 and sell it today you would earn a total of 0.20 from holding Alto Metals or generate 2.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 57.14% |
Values | Daily Returns |
Sonic Healthcare vs. Alto Metals
Performance |
Timeline |
Sonic Healthcare |
Alto Metals |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Solid
Sonic Healthcare and Alto Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sonic Healthcare and Alto Metals
The main advantage of trading using opposite Sonic Healthcare and Alto Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sonic Healthcare position performs unexpectedly, Alto Metals 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 Alto Metals will offset losses from the drop in Alto Metals' long position.Sonic Healthcare vs. Aneka Tambang Tbk | Sonic Healthcare vs. BHP Group Limited | Sonic Healthcare vs. Commonwealth Bank | Sonic Healthcare vs. Commonwealth Bank of |
Alto Metals vs. Epsilon Healthcare | Alto Metals vs. Sonic Healthcare | Alto Metals vs. Truscott Mining Corp | Alto Metals vs. Nufarm Finance NZ |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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