Correlation Between CBrain AS and Columbus

Can any of the company-specific risk be diversified away by investing in both CBrain AS and Columbus 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 CBrain AS and Columbus into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between cBrain AS and Columbus AS, you can compare the effects of market volatilities on CBrain AS and Columbus 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 CBrain AS with a short position of Columbus. Check out your portfolio center. Please also check ongoing floating volatility patterns of CBrain AS and Columbus.

Diversification Opportunities for CBrain AS and Columbus

-0.17

Correlation Coefficient

CBrain AS  Columbus

Good diversification

The 3 months correlation between CBrain and Columbus is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding cBrain AS and Columbus AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbus AS and CBrain AS 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 cBrain AS are associated (or correlated) with Columbus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbus AS has no effect on the direction of CBrain AS i.e., CBrain AS and Columbus go up and down completely randomly.

Pair Corralation between CBrain AS and Columbus

Assuming the 90 days trading horizon CBrain AS is expected to generate 3.89 times less return on investment than Columbus. In addition to that, CBrain AS is 1.25 times more volatile than Columbus AS. It trades about 0.02 of its total potential returns per unit of risk. Columbus AS is currently generating about 0.12 per unit of volatility. If you would invest  878.00  in Columbus AS on September 13, 2024 and sell it today you would earn a total of  142.00  from holding Columbus AS or generate 16.17% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

cBrain AS  vs.  Columbus AS

cBrain AS

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in cBrain AS are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, CBrain AS is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Columbus AS

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Columbus AS are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unfluctuating fundamental indicators, Columbus exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with CBrain AS and Columbus

The main advantage of trading using opposite CBrain AS and Columbus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CBrain AS position performs unexpectedly, Columbus 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 Columbus will offset losses from the drop in Columbus' long position.

The idea behind cBrain AS and Columbus AS 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.

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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.