Correlation Between UPM Kymmene and Exel Composites
Can any of the company-specific risk be diversified away by investing in both UPM Kymmene and Exel Composites 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 UPM Kymmene and Exel Composites into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UPM Kymmene Oyj and Exel Composites Oyj, you can compare the effects of market volatilities on UPM Kymmene and Exel Composites 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 UPM Kymmene with a short position of Exel Composites. Check out your portfolio center. Please also check ongoing floating volatility patterns of UPM Kymmene and Exel Composites.
Diversification Opportunities for UPM Kymmene and Exel Composites
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between UPM and Exel is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding UPM Kymmene Oyj and Exel Composites Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exel Composites Oyj and UPM Kymmene 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 UPM Kymmene Oyj are associated (or correlated) with Exel Composites. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exel Composites Oyj has no effect on the direction of UPM Kymmene i.e., UPM Kymmene and Exel Composites go up and down completely randomly.
Pair Corralation between UPM Kymmene and Exel Composites
Assuming the 90 days trading horizon UPM Kymmene Oyj is expected to generate 0.51 times more return on investment than Exel Composites. However, UPM Kymmene Oyj is 1.95 times less risky than Exel Composites. It trades about -0.14 of its potential returns per unit of risk. Exel Composites Oyj is currently generating about -0.19 per unit of risk. If you would invest 2,928 in UPM Kymmene Oyj on September 28, 2024 and sell it today you would lose (356.00) from holding UPM Kymmene Oyj or give up 12.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
UPM Kymmene Oyj vs. Exel Composites Oyj
Performance |
Timeline |
UPM Kymmene Oyj |
Exel Composites Oyj |
UPM Kymmene and Exel Composites Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UPM Kymmene and Exel Composites
The main advantage of trading using opposite UPM Kymmene and Exel Composites positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UPM Kymmene position performs unexpectedly, Exel Composites 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 Exel Composites will offset losses from the drop in Exel Composites' long position.UPM Kymmene vs. Sampo Oyj A | UPM Kymmene vs. Fortum Oyj | UPM Kymmene vs. Nordea Bank Abp | UPM Kymmene vs. Wartsila Oyj Abp |
Exel Composites vs. SSH Communications Security | Exel Composites vs. Detection Technology OY | Exel Composites vs. Nightingale Health Oyj | Exel Composites vs. Aiforia Technologies 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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