Correlation Between CBrain AS and Cyxone AB

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

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

Diversification Opportunities for CBrain AS and Cyxone AB

0.14

Correlation Coefficient

CBrain AS  Cyxone AB

Average diversification

The 3 months correlation between CBrain and Cyxone is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding cBrain AS and Cyxone AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cyxone AB 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 Cyxone AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cyxone AB has no effect on the direction of CBrain AS i.e., CBrain AS and Cyxone AB go up and down completely randomly.

Pair Corralation between CBrain AS and Cyxone AB

If you would invest  1.80  in Cyxone AB on October 7, 2024 and sell it today you would earn a total of  0.00  from holding Cyxone AB or generate 0.0% return on investment over 90 days.

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

cBrain AS  vs.  Cyxone AB

cBrain AS

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days cBrain AS has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest unsteady performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Cyxone AB

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Cyxone AB has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in February 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with CBrain AS and Cyxone AB

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

The idea behind cBrain AS and Cyxone 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.

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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.