Correlation Between European Residential and PHX Energy
Can any of the company-specific risk be diversified away by investing in both European Residential and PHX Energy 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 PHX Energy 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 PHX Energy Services, you can compare the effects of market volatilities on European Residential and PHX Energy 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 PHX Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of European Residential and PHX Energy.
Diversification Opportunities for European Residential and PHX Energy
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between European and PHX is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding European Residential Real and PHX Energy Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PHX Energy Services 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 PHX Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PHX Energy Services has no effect on the direction of European Residential i.e., European Residential and PHX Energy go up and down completely randomly.
Pair Corralation between European Residential and PHX Energy
Assuming the 90 days trading horizon European Residential Real is expected to generate 1.73 times more return on investment than PHX Energy. However, European Residential is 1.73 times more volatile than PHX Energy Services. It trades about 0.24 of its potential returns per unit of risk. PHX Energy Services is currently generating about 0.1 per unit of risk. If you would invest 305.00 in European Residential Real on August 30, 2024 and sell it today you would earn a total of 62.00 from holding European Residential Real or generate 20.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
European Residential Real vs. PHX Energy Services
Performance |
Timeline |
European Residential Real |
PHX Energy Services |
European Residential and PHX Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with European Residential and PHX Energy
The main advantage of trading using opposite European Residential and PHX Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if European Residential position performs unexpectedly, PHX Energy 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 PHX Energy will offset losses from the drop in PHX Energy's long position.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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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