Correlation Between CanSino Biologics and FORTEC Elektronik
Can any of the company-specific risk be diversified away by investing in both CanSino Biologics and FORTEC Elektronik 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 FORTEC Elektronik into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CanSino Biologics and FORTEC Elektronik AG, you can compare the effects of market volatilities on CanSino Biologics and FORTEC Elektronik 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 FORTEC Elektronik. Check out your portfolio center. Please also check ongoing floating volatility patterns of CanSino Biologics and FORTEC Elektronik.
Diversification Opportunities for CanSino Biologics and FORTEC Elektronik
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between CanSino and FORTEC is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding CanSino Biologics and FORTEC Elektronik AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FORTEC Elektronik 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 FORTEC Elektronik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FORTEC Elektronik has no effect on the direction of CanSino Biologics i.e., CanSino Biologics and FORTEC Elektronik go up and down completely randomly.
Pair Corralation between CanSino Biologics and FORTEC Elektronik
Assuming the 90 days trading horizon CanSino Biologics is expected to under-perform the FORTEC Elektronik. In addition to that, CanSino Biologics is 1.24 times more volatile than FORTEC Elektronik AG. It trades about -0.16 of its total potential returns per unit of risk. FORTEC Elektronik AG is currently generating about -0.02 per unit of volatility. If you would invest 1,980 in FORTEC Elektronik AG on October 8, 2024 and sell it today you would lose (20.00) from holding FORTEC Elektronik AG or give up 1.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CanSino Biologics vs. FORTEC Elektronik AG
Performance |
Timeline |
CanSino Biologics |
FORTEC Elektronik |
CanSino Biologics and FORTEC Elektronik Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CanSino Biologics and FORTEC Elektronik
The main advantage of trading using opposite CanSino Biologics and FORTEC Elektronik positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CanSino Biologics position performs unexpectedly, FORTEC Elektronik 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 FORTEC Elektronik will offset losses from the drop in FORTEC Elektronik's long position.CanSino Biologics vs. Superior Plus Corp | CanSino Biologics vs. NMI Holdings | CanSino Biologics vs. SIVERS SEMICONDUCTORS AB | CanSino Biologics vs. Talanx AG |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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