Correlation Between CanSino Biologics and Tradegate
Can any of the company-specific risk be diversified away by investing in both CanSino Biologics and Tradegate 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 CanSino Biologics and Tradegate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CanSino Biologics and Tradegate AG Wertpapierhandelsbank, you can compare the effects of market volatilities on CanSino Biologics and Tradegate 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 CanSino Biologics with a short position of Tradegate. Check out your portfolio center. Please also check ongoing floating volatility patterns of CanSino Biologics and Tradegate.
Diversification Opportunities for CanSino Biologics and Tradegate
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between CanSino and Tradegate is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding CanSino Biologics and Tradegate AG Wertpapierhandels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tradegate AG Wertpap and CanSino Biologics 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 CanSino Biologics are associated (or correlated) with Tradegate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tradegate AG Wertpap has no effect on the direction of CanSino Biologics i.e., CanSino Biologics and Tradegate go up and down completely randomly.
Pair Corralation between CanSino Biologics and Tradegate
Assuming the 90 days trading horizon CanSino Biologics is expected to generate 5.36 times more return on investment than Tradegate. However, CanSino Biologics is 5.36 times more volatile than Tradegate AG Wertpapierhandelsbank. It trades about 0.07 of its potential returns per unit of risk. Tradegate AG Wertpapierhandelsbank is currently generating about 0.0 per unit of risk. If you would invest 320.00 in CanSino Biologics on September 28, 2024 and sell it today you would earn a total of 46.00 from holding CanSino Biologics or generate 14.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CanSino Biologics vs. Tradegate AG Wertpapierhandels
Performance |
Timeline |
CanSino Biologics |
Tradegate AG Wertpap |
CanSino Biologics and Tradegate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CanSino Biologics and Tradegate
The main advantage of trading using opposite CanSino Biologics and Tradegate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CanSino Biologics position performs unexpectedly, Tradegate 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 Tradegate will offset losses from the drop in Tradegate's long position.CanSino Biologics vs. Tradegate AG Wertpapierhandelsbank | CanSino Biologics vs. Cleanaway Waste Management | CanSino Biologics vs. Marie Brizard Wine | CanSino Biologics vs. TRADEDOUBLER AB SK |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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