Correlation Between Duni AB and Lyko Group
Can any of the company-specific risk be diversified away by investing in both Duni AB and Lyko Group 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 Duni AB and Lyko Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Duni AB and Lyko Group A, you can compare the effects of market volatilities on Duni AB and Lyko Group 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 Duni AB with a short position of Lyko Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Duni AB and Lyko Group.
Diversification Opportunities for Duni AB and Lyko Group
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Duni and Lyko is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Duni AB and Lyko Group A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lyko Group A and Duni 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 Duni AB are associated (or correlated) with Lyko Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lyko Group A has no effect on the direction of Duni AB i.e., Duni AB and Lyko Group go up and down completely randomly.
Pair Corralation between Duni AB and Lyko Group
Assuming the 90 days trading horizon Duni AB is expected to generate 0.57 times more return on investment than Lyko Group. However, Duni AB is 1.76 times less risky than Lyko Group. It trades about 0.03 of its potential returns per unit of risk. Lyko Group A is currently generating about -0.02 per unit of risk. If you would invest 7,799 in Duni AB on September 5, 2024 and sell it today you would earn a total of 1,201 from holding Duni AB or generate 15.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Duni AB vs. Lyko Group A
Performance |
Timeline |
Duni AB |
Lyko Group A |
Duni AB and Lyko Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Duni AB and Lyko Group
The main advantage of trading using opposite Duni AB and Lyko Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Duni AB position performs unexpectedly, Lyko Group 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 Lyko Group will offset losses from the drop in Lyko Group's long position.The idea behind Duni AB and Lyko Group A 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.Lyko Group vs. Boozt AB | Lyko Group vs. G5 Entertainment publ | Lyko Group vs. Stillfront Group AB | Lyko Group vs. Storytel 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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