Correlation Between Carnegie Clean and QUBICGAMES
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and QUBICGAMES 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 Carnegie Clean and QUBICGAMES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and QUBICGAMES SA ZY, you can compare the effects of market volatilities on Carnegie Clean and QUBICGAMES 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 Carnegie Clean with a short position of QUBICGAMES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and QUBICGAMES.
Diversification Opportunities for Carnegie Clean and QUBICGAMES
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Carnegie and QUBICGAMES is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and QUBICGAMES SA ZY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QUBICGAMES SA ZY and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with QUBICGAMES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QUBICGAMES SA ZY has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and QUBICGAMES go up and down completely randomly.
Pair Corralation between Carnegie Clean and QUBICGAMES
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 1.7 times more return on investment than QUBICGAMES. However, Carnegie Clean is 1.7 times more volatile than QUBICGAMES SA ZY. It trades about 0.13 of its potential returns per unit of risk. QUBICGAMES SA ZY is currently generating about 0.09 per unit of risk. If you would invest 1.90 in Carnegie Clean Energy on April 25, 2025 and sell it today you would earn a total of 0.72 from holding Carnegie Clean Energy or generate 37.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. QUBICGAMES SA ZY
Performance |
Timeline |
Carnegie Clean Energy |
QUBICGAMES SA ZY |
Carnegie Clean and QUBICGAMES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and QUBICGAMES
The main advantage of trading using opposite Carnegie Clean and QUBICGAMES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, QUBICGAMES 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 QUBICGAMES will offset losses from the drop in QUBICGAMES's long position.Carnegie Clean vs. Ultra Clean Holdings | Carnegie Clean vs. Data Modul AG | Carnegie Clean vs. GungHo Online Entertainment | Carnegie Clean vs. DATA MODUL |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Complementary Tools
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Transaction History View history of all your transactions and understand their impact on performance | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |