Correlation Between Urban Edge and COPT Defense
Can any of the company-specific risk be diversified away by investing in both Urban Edge and COPT Defense 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 Urban Edge and COPT Defense into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Urban Edge Properties and COPT Defense Properties, you can compare the effects of market volatilities on Urban Edge and COPT Defense 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 Urban Edge with a short position of COPT Defense. Check out your portfolio center. Please also check ongoing floating volatility patterns of Urban Edge and COPT Defense.
Diversification Opportunities for Urban Edge and COPT Defense
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Urban and COPT is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Urban Edge Properties and COPT Defense Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COPT Defense Properties and Urban Edge 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 Urban Edge Properties are associated (or correlated) with COPT Defense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COPT Defense Properties has no effect on the direction of Urban Edge i.e., Urban Edge and COPT Defense go up and down completely randomly.
Pair Corralation between Urban Edge and COPT Defense
Allowing for the 90-day total investment horizon Urban Edge Properties is expected to generate 1.12 times more return on investment than COPT Defense. However, Urban Edge is 1.12 times more volatile than COPT Defense Properties. It trades about -0.11 of its potential returns per unit of risk. COPT Defense Properties is currently generating about -0.23 per unit of risk. If you would invest 2,284 in Urban Edge Properties on November 28, 2024 and sell it today you would lose (228.00) from holding Urban Edge Properties or give up 9.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Urban Edge Properties vs. COPT Defense Properties
Performance |
Timeline |
Urban Edge Properties |
COPT Defense Properties |
Urban Edge and COPT Defense Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Urban Edge and COPT Defense
The main advantage of trading using opposite Urban Edge and COPT Defense positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Urban Edge position performs unexpectedly, COPT Defense 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 COPT Defense will offset losses from the drop in COPT Defense's long position.Urban Edge vs. Saul Centers | Urban Edge vs. Rithm Property Trust | Urban Edge vs. Site Centers Corp | Urban Edge vs. Kite Realty Group |
COPT Defense vs. WPP PLC ADR | COPT Defense vs. Entravision Communications | COPT Defense vs. Xunlei Ltd Adr | COPT Defense vs. Stagwell |
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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