Correlation Between Metsa Board and Outokumpu Oyj
Can any of the company-specific risk be diversified away by investing in both Metsa Board and Outokumpu 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 Metsa Board and Outokumpu Oyj into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metsa Board Oyj and Outokumpu Oyj, you can compare the effects of market volatilities on Metsa Board and Outokumpu 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 Metsa Board with a short position of Outokumpu Oyj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metsa Board and Outokumpu Oyj.
Diversification Opportunities for Metsa Board and Outokumpu Oyj
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Metsa and Outokumpu is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Metsa Board Oyj and Outokumpu Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Outokumpu Oyj and Metsa Board 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 Metsa Board Oyj are associated (or correlated) with Outokumpu Oyj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Outokumpu Oyj has no effect on the direction of Metsa Board i.e., Metsa Board and Outokumpu Oyj go up and down completely randomly.
Pair Corralation between Metsa Board and Outokumpu Oyj
Assuming the 90 days trading horizon Metsa Board Oyj is expected to under-perform the Outokumpu Oyj. But the stock apears to be less risky and, when comparing its historical volatility, Metsa Board Oyj is 1.07 times less risky than Outokumpu Oyj. The stock trades about -0.01 of its potential returns per unit of risk. The Outokumpu Oyj is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 318.00 in Outokumpu Oyj on November 29, 2024 and sell it today you would earn a total of 51.00 from holding Outokumpu Oyj or generate 16.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Metsa Board Oyj vs. Outokumpu Oyj
Performance |
Timeline |
Metsa Board Oyj |
Outokumpu Oyj |
Metsa Board and Outokumpu Oyj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metsa Board and Outokumpu Oyj
The main advantage of trading using opposite Metsa Board and Outokumpu Oyj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metsa Board position performs unexpectedly, Outokumpu 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 Outokumpu Oyj will offset losses from the drop in Outokumpu Oyj's long position.Metsa Board vs. UPM Kymmene Oyj | Metsa Board vs. Stora Enso Oyj | Metsa Board vs. Valmet Oyj | Metsa Board vs. Wartsila Oyj Abp |
Outokumpu Oyj vs. Nordea Bank Abp | Outokumpu Oyj vs. Fortum Oyj | Outokumpu Oyj vs. Wartsila Oyj Abp | Outokumpu Oyj vs. Sampo Oyj A |
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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