Correlation Between Tokmanni Group and Reka Industrial
Can any of the company-specific risk be diversified away by investing in both Tokmanni Group and Reka Industrial 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 Tokmanni Group and Reka Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tokmanni Group Oyj and Reka Industrial Oyj, you can compare the effects of market volatilities on Tokmanni Group and Reka Industrial 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 Tokmanni Group with a short position of Reka Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tokmanni Group and Reka Industrial.
Diversification Opportunities for Tokmanni Group and Reka Industrial
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tokmanni and Reka is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Tokmanni Group Oyj and Reka Industrial Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reka Industrial Oyj and Tokmanni Group 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 Tokmanni Group Oyj are associated (or correlated) with Reka Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reka Industrial Oyj has no effect on the direction of Tokmanni Group i.e., Tokmanni Group and Reka Industrial go up and down completely randomly.
Pair Corralation between Tokmanni Group and Reka Industrial
Assuming the 90 days trading horizon Tokmanni Group is expected to generate 14.16 times less return on investment than Reka Industrial. But when comparing it to its historical volatility, Tokmanni Group Oyj is 2.38 times less risky than Reka Industrial. It trades about 0.08 of its potential returns per unit of risk. Reka Industrial Oyj is currently generating about 0.45 of returns per unit of risk over similar time horizon. If you would invest 443.00 in Reka Industrial Oyj on October 23, 2024 and sell it today you would earn a total of 107.00 from holding Reka Industrial Oyj or generate 24.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tokmanni Group Oyj vs. Reka Industrial Oyj
Performance |
Timeline |
Tokmanni Group Oyj |
Reka Industrial Oyj |
Tokmanni Group and Reka Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tokmanni Group and Reka Industrial
The main advantage of trading using opposite Tokmanni Group and Reka Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tokmanni Group position performs unexpectedly, Reka Industrial 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 Reka Industrial will offset losses from the drop in Reka Industrial's long position.Tokmanni Group vs. Sampo Oyj A | Tokmanni Group vs. Harvia Oyj | Tokmanni Group vs. Nordea Bank Abp | Tokmanni Group vs. Fortum Oyj |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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