Correlation Between Columbus and CBrain AS

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

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

Diversification Opportunities for Columbus and CBrain AS

-0.17

Correlation Coefficient

Columbus  CBrain AS

Good diversification

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

Pair Corralation between Columbus and CBrain AS

Assuming the 90 days trading horizon Columbus AS is expected to generate 0.8 times more return on investment than CBrain AS. However, Columbus AS is 1.25 times less risky than CBrain AS. It trades about 0.12 of its potential returns per unit of risk. cBrain AS is currently generating about 0.02 per unit of risk. 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

Columbus AS  vs.  cBrain AS

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.

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.

Pair Trading with Columbus and CBrain AS

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

The idea behind Columbus AS and cBrain 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.