Correlation Between Sims Metal and CanSino Biologics
Can any of the company-specific risk be diversified away by investing in both Sims Metal and CanSino Biologics 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 Sims Metal and CanSino Biologics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sims Metal Management and CanSino Biologics, you can compare the effects of market volatilities on Sims Metal and CanSino Biologics 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 Sims Metal with a short position of CanSino Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sims Metal and CanSino Biologics.
Diversification Opportunities for Sims Metal and CanSino Biologics
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sims and CanSino is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Sims Metal Management and CanSino Biologics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CanSino Biologics and Sims Metal 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 Sims Metal Management are associated (or correlated) with CanSino Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CanSino Biologics has no effect on the direction of Sims Metal i.e., Sims Metal and CanSino Biologics go up and down completely randomly.
Pair Corralation between Sims Metal and CanSino Biologics
Assuming the 90 days horizon Sims Metal Management is expected to under-perform the CanSino Biologics. But the stock apears to be less risky and, when comparing its historical volatility, Sims Metal Management is 1.98 times less risky than CanSino Biologics. The stock trades about -0.04 of its potential returns per unit of risk. The CanSino Biologics is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 326.00 in CanSino Biologics on October 8, 2024 and sell it today you would earn a total of 52.00 from holding CanSino Biologics or generate 15.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sims Metal Management vs. CanSino Biologics
Performance |
Timeline |
Sims Metal Management |
CanSino Biologics |
Sims Metal and CanSino Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sims Metal and CanSino Biologics
The main advantage of trading using opposite Sims Metal and CanSino Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sims Metal position performs unexpectedly, CanSino Biologics 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 CanSino Biologics will offset losses from the drop in CanSino Biologics' long position.Sims Metal vs. Planet Fitness | Sims Metal vs. CarsalesCom | Sims Metal vs. GRUPO CARSO A1 | Sims Metal vs. CARDINAL HEALTH |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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