Correlation Between CDON AB and Mendus AB
Can any of the company-specific risk be diversified away by investing in both CDON AB and Mendus AB 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 CDON AB and Mendus AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CDON AB and Mendus AB, you can compare the effects of market volatilities on CDON AB and Mendus AB 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 CDON AB with a short position of Mendus AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of CDON AB and Mendus AB.
Diversification Opportunities for CDON AB and Mendus AB
Pay attention - limited upside
The 3 months correlation between CDON and Mendus is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding CDON AB and Mendus AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mendus AB and CDON AB 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 CDON AB are associated (or correlated) with Mendus AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mendus AB has no effect on the direction of CDON AB i.e., CDON AB and Mendus AB go up and down completely randomly.
Pair Corralation between CDON AB and Mendus AB
Assuming the 90 days trading horizon CDON AB is expected to generate 1.82 times less return on investment than Mendus AB. But when comparing it to its historical volatility, CDON AB is 1.13 times less risky than Mendus AB. It trades about 0.09 of its potential returns per unit of risk. Mendus AB is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 487.00 in Mendus AB on April 24, 2025 and sell it today you would earn a total of 308.00 from holding Mendus AB or generate 63.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
CDON AB vs. Mendus AB
Performance |
Timeline |
CDON AB |
Mendus AB |
CDON AB and Mendus AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CDON AB and Mendus AB
The main advantage of trading using opposite CDON AB and Mendus AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CDON AB position performs unexpectedly, Mendus AB 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 Mendus AB will offset losses from the drop in Mendus AB's long position.The idea behind CDON AB and Mendus AB pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Mendus AB vs. Cantargia AB | Mendus AB vs. BioInvent International AB | Mendus AB vs. Alligator Bioscience AB | Mendus AB vs. Moberg Pharma AB |
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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