Correlation Between Exel Composites and Tulikivi Oyj
Can any of the company-specific risk be diversified away by investing in both Exel Composites and Tulikivi Oyj 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 Exel Composites and Tulikivi Oyj into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exel Composites Oyj and Tulikivi Oyj A, you can compare the effects of market volatilities on Exel Composites and Tulikivi Oyj 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 Exel Composites with a short position of Tulikivi Oyj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exel Composites and Tulikivi Oyj.
Diversification Opportunities for Exel Composites and Tulikivi Oyj
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Exel and Tulikivi is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Exel Composites Oyj and Tulikivi Oyj A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tulikivi Oyj A and Exel Composites 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 Exel Composites Oyj are associated (or correlated) with Tulikivi Oyj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tulikivi Oyj A has no effect on the direction of Exel Composites i.e., Exel Composites and Tulikivi Oyj go up and down completely randomly.
Pair Corralation between Exel Composites and Tulikivi Oyj
Assuming the 90 days trading horizon Exel Composites Oyj is expected to under-perform the Tulikivi Oyj. In addition to that, Exel Composites is 2.06 times more volatile than Tulikivi Oyj A. It trades about -0.25 of its total potential returns per unit of risk. Tulikivi Oyj A is currently generating about 0.3 per unit of volatility. If you would invest 41.00 in Tulikivi Oyj A on January 31, 2024 and sell it today you would earn a total of 6.00 from holding Tulikivi Oyj A or generate 14.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Exel Composites Oyj vs. Tulikivi Oyj A
Performance |
Timeline |
Exel Composites Oyj |
Tulikivi Oyj A |
Exel Composites and Tulikivi Oyj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Exel Composites and Tulikivi Oyj
The main advantage of trading using opposite Exel Composites and Tulikivi Oyj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exel Composites position performs unexpectedly, Tulikivi Oyj 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 Tulikivi Oyj will offset losses from the drop in Tulikivi Oyj's long position.Exel Composites vs. Fortum Oyj | Exel Composites vs. Nordea Bank Abp | Exel Composites vs. Sampo Oyj A | Exel Composites vs. Neste Oil Oyj |
Tulikivi Oyj vs. Fortum Oyj | Tulikivi Oyj vs. Nordea Bank Abp | Tulikivi Oyj vs. Sampo Oyj A | Tulikivi Oyj vs. Neste Oil Oyj |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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