Correlation Between Oma Saastopankki and Qt Group
Can any of the company-specific risk be diversified away by investing in both Oma Saastopankki and Qt 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 Oma Saastopankki and Qt Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oma Saastopankki Oyj and Qt Group Oyj, you can compare the effects of market volatilities on Oma Saastopankki and Qt 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 Oma Saastopankki with a short position of Qt Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oma Saastopankki and Qt Group.
Diversification Opportunities for Oma Saastopankki and Qt Group
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Oma and QTCOM is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Oma Saastopankki Oyj and Qt Group Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qt Group Oyj and Oma Saastopankki 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 Oma Saastopankki Oyj are associated (or correlated) with Qt Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qt Group Oyj has no effect on the direction of Oma Saastopankki i.e., Oma Saastopankki and Qt Group go up and down completely randomly.
Pair Corralation between Oma Saastopankki and Qt Group
Assuming the 90 days trading horizon Oma Saastopankki Oyj is expected to under-perform the Qt Group. But the stock apears to be less risky and, when comparing its historical volatility, Oma Saastopankki Oyj is 1.58 times less risky than Qt Group. The stock trades about -0.06 of its potential returns per unit of risk. The Qt Group Oyj is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 4,730 in Qt Group Oyj on September 28, 2024 and sell it today you would earn a total of 1,945 from holding Qt Group Oyj or generate 41.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Oma Saastopankki Oyj vs. Qt Group Oyj
Performance |
Timeline |
Oma Saastopankki Oyj |
Qt Group Oyj |
Oma Saastopankki and Qt Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oma Saastopankki and Qt Group
The main advantage of trading using opposite Oma Saastopankki and Qt Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oma Saastopankki position performs unexpectedly, Qt 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 Qt Group will offset losses from the drop in Qt Group's long position.Oma Saastopankki vs. Kamux Suomi Oy | Oma Saastopankki vs. Harvia Oyj | Oma Saastopankki vs. TietoEVRY Corp | Oma Saastopankki vs. Tokmanni Group Oyj |
Qt Group vs. Harvia Oyj | Qt Group vs. Sampo Oyj A | Qt Group vs. Revenio Group | Qt Group vs. Kamux Suomi Oy |
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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