Correlation Between Puuilo Oyj and Tokmanni Group
Can any of the company-specific risk be diversified away by investing in both Puuilo Oyj and Tokmanni 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 Puuilo Oyj and Tokmanni Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Puuilo Oyj and Tokmanni Group Oyj, you can compare the effects of market volatilities on Puuilo Oyj and Tokmanni 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 Puuilo Oyj with a short position of Tokmanni Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Puuilo Oyj and Tokmanni Group.
Diversification Opportunities for Puuilo Oyj and Tokmanni Group
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Puuilo and Tokmanni is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Puuilo Oyj and Tokmanni Group Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tokmanni Group Oyj and Puuilo Oyj 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 Puuilo Oyj are associated (or correlated) with Tokmanni Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tokmanni Group Oyj has no effect on the direction of Puuilo Oyj i.e., Puuilo Oyj and Tokmanni Group go up and down completely randomly.
Pair Corralation between Puuilo Oyj and Tokmanni Group
Assuming the 90 days trading horizon Puuilo Oyj is expected to generate 0.87 times more return on investment than Tokmanni Group. However, Puuilo Oyj is 1.15 times less risky than Tokmanni Group. It trades about 0.08 of its potential returns per unit of risk. Tokmanni Group Oyj is currently generating about 0.02 per unit of risk. If you would invest 495.00 in Puuilo Oyj on September 2, 2024 and sell it today you would earn a total of 407.00 from holding Puuilo Oyj or generate 82.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Puuilo Oyj vs. Tokmanni Group Oyj
Performance |
| Timeline |
| Puuilo Oyj |
| Tokmanni Group Oyj |
Puuilo Oyj and Tokmanni Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Puuilo Oyj and Tokmanni Group
The main advantage of trading using opposite Puuilo Oyj and Tokmanni Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Puuilo Oyj position performs unexpectedly, Tokmanni 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 Tokmanni Group will offset losses from the drop in Tokmanni Group's long position.| Puuilo Oyj vs. Kamux Suomi Oy | Puuilo Oyj vs. Harvia Oyj | Puuilo Oyj vs. Qt Group Oyj | Puuilo Oyj vs. Tecnotree Oyj |
| Tokmanni Group vs. Sampo Oyj A | Tokmanni Group vs. Harvia Oyj | Tokmanni Group vs. Nordea Bank Abp | Tokmanni Group vs. Fortum 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 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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