Correlation Between European Residential and Cobalt Power
Can any of the company-specific risk be diversified away by investing in both European Residential and Cobalt Power 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 European Residential and Cobalt Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between European Residential Real and Cobalt Power Group, you can compare the effects of market volatilities on European Residential and Cobalt Power 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 European Residential with a short position of Cobalt Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of European Residential and Cobalt Power.
Diversification Opportunities for European Residential and Cobalt Power
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between European and Cobalt is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding European Residential Real and Cobalt Power Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cobalt Power Group and European Residential 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 European Residential Real are associated (or correlated) with Cobalt Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cobalt Power Group has no effect on the direction of European Residential i.e., European Residential and Cobalt Power go up and down completely randomly.
Pair Corralation between European Residential and Cobalt Power
Assuming the 90 days trading horizon European Residential is expected to generate 26.85 times less return on investment than Cobalt Power. But when comparing it to its historical volatility, European Residential Real is 13.47 times less risky than Cobalt Power. It trades about 0.04 of its potential returns per unit of risk. Cobalt Power Group is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 15.00 in Cobalt Power Group on October 3, 2024 and sell it today you would lose (12.50) from holding Cobalt Power Group or give up 83.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
European Residential Real vs. Cobalt Power Group
Performance |
Timeline |
European Residential Real |
Cobalt Power Group |
European Residential and Cobalt Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with European Residential and Cobalt Power
The main advantage of trading using opposite European Residential and Cobalt Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if European Residential position performs unexpectedly, Cobalt Power 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 Cobalt Power will offset losses from the drop in Cobalt Power's long position.European Residential vs. BSR Real Estate | European Residential vs. Minto Apartment Real | European Residential vs. Nexus Real Estate | European Residential vs. Morguard North American |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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