Correlation Between Telefonaktiebolaget and Aspo Oyj
Can any of the company-specific risk be diversified away by investing in both Telefonaktiebolaget and Aspo 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 Telefonaktiebolaget and Aspo Oyj into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telefonaktiebolaget LM Ericsson and Aspo Oyj, you can compare the effects of market volatilities on Telefonaktiebolaget and Aspo 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 Telefonaktiebolaget with a short position of Aspo Oyj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telefonaktiebolaget and Aspo Oyj.
Diversification Opportunities for Telefonaktiebolaget and Aspo Oyj
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Telefonaktiebolaget and Aspo is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Telefonaktiebolaget LM Ericsso and Aspo Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aspo Oyj and Telefonaktiebolaget 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 Telefonaktiebolaget LM Ericsson are associated (or correlated) with Aspo Oyj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aspo Oyj has no effect on the direction of Telefonaktiebolaget i.e., Telefonaktiebolaget and Aspo Oyj go up and down completely randomly.
Pair Corralation between Telefonaktiebolaget and Aspo Oyj
Assuming the 90 days trading horizon Telefonaktiebolaget LM Ericsson is expected to generate 1.78 times more return on investment than Aspo Oyj. However, Telefonaktiebolaget is 1.78 times more volatile than Aspo Oyj. It trades about 0.15 of its potential returns per unit of risk. Aspo Oyj is currently generating about -0.3 per unit of risk. If you would invest 679.00 in Telefonaktiebolaget LM Ericsson on October 9, 2024 and sell it today you would earn a total of 116.00 from holding Telefonaktiebolaget LM Ericsson or generate 17.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Telefonaktiebolaget LM Ericsso vs. Aspo Oyj
Performance |
Timeline |
Telefonaktiebolaget |
Aspo Oyj |
Telefonaktiebolaget and Aspo Oyj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telefonaktiebolaget and Aspo Oyj
The main advantage of trading using opposite Telefonaktiebolaget and Aspo Oyj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telefonaktiebolaget position performs unexpectedly, Aspo 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 Aspo Oyj will offset losses from the drop in Aspo Oyj's long position.Telefonaktiebolaget vs. Telia Company AB | Telefonaktiebolaget vs. SSAB AB ser | Telefonaktiebolaget vs. Kesko Oyj | Telefonaktiebolaget vs. Stora Enso Oyj |
Aspo Oyj vs. Sampo Oyj A | Aspo Oyj vs. Fortum Oyj | Aspo Oyj vs. UPM Kymmene Oyj | Aspo Oyj vs. Nordea Bank Abp |
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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