Correlation Between Qt Group and Aspocomp Group
Can any of the company-specific risk be diversified away by investing in both Qt Group and Aspocomp 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 Qt Group and Aspocomp Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qt Group Oyj and Aspocomp Group Oyj, you can compare the effects of market volatilities on Qt Group and Aspocomp 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 Qt Group with a short position of Aspocomp Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qt Group and Aspocomp Group.
Diversification Opportunities for Qt Group and Aspocomp Group
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between QTCOM and Aspocomp is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Qt Group Oyj and Aspocomp Group Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aspocomp Group Oyj and Qt 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 Qt Group Oyj are associated (or correlated) with Aspocomp Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aspocomp Group Oyj has no effect on the direction of Qt Group i.e., Qt Group and Aspocomp Group go up and down completely randomly.
Pair Corralation between Qt Group and Aspocomp Group
Assuming the 90 days trading horizon Qt Group is expected to generate 2.74 times less return on investment than Aspocomp Group. But when comparing it to its historical volatility, Qt Group Oyj is 1.07 times less risky than Aspocomp Group. It trades about 0.09 of its potential returns per unit of risk. Aspocomp Group Oyj is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 305.00 in Aspocomp Group Oyj on October 10, 2024 and sell it today you would earn a total of 30.00 from holding Aspocomp Group Oyj or generate 9.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Qt Group Oyj vs. Aspocomp Group Oyj
Performance |
Timeline |
Qt Group Oyj |
Aspocomp Group Oyj |
Qt Group and Aspocomp Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qt Group and Aspocomp Group
The main advantage of trading using opposite Qt Group and Aspocomp Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qt Group position performs unexpectedly, Aspocomp 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 Aspocomp Group will offset losses from the drop in Aspocomp Group's long position.Qt Group vs. Harvia Oyj | Qt Group vs. Sampo Oyj A | Qt Group vs. Revenio Group | Qt Group vs. Kamux Suomi Oy |
Aspocomp Group vs. Digia Oyj | Aspocomp Group vs. Bittium Oyj | Aspocomp Group vs. CapMan Oyj B | Aspocomp Group vs. Honkarakenne Oyj B |
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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |