Correlation Between Powell Max and Simon Property
Can any of the company-specific risk be diversified away by investing in both Powell Max and Simon Property 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 Powell Max and Simon Property into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Powell Max Limited and Simon Property Group, you can compare the effects of market volatilities on Powell Max and Simon Property 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 Powell Max with a short position of Simon Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of Powell Max and Simon Property.
Diversification Opportunities for Powell Max and Simon Property
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Powell and Simon is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Powell Max Limited and Simon Property Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simon Property Group and Powell Max 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 Powell Max Limited are associated (or correlated) with Simon Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simon Property Group has no effect on the direction of Powell Max i.e., Powell Max and Simon Property go up and down completely randomly.
Pair Corralation between Powell Max and Simon Property
Given the investment horizon of 90 days Powell Max Limited is expected to under-perform the Simon Property. In addition to that, Powell Max is 10.5 times more volatile than Simon Property Group. It trades about -0.2 of its total potential returns per unit of risk. Simon Property Group is currently generating about 0.01 per unit of volatility. If you would invest 5,806 in Simon Property Group on December 21, 2024 and sell it today you would earn a total of 6.00 from holding Simon Property Group or generate 0.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Powell Max Limited vs. Simon Property Group
Performance |
Timeline |
Powell Max Limited |
Simon Property Group |
Powell Max and Simon Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Powell Max and Simon Property
The main advantage of trading using opposite Powell Max and Simon Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Powell Max position performs unexpectedly, Simon Property 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 Simon Property will offset losses from the drop in Simon Property's long position.Powell Max vs. Norfolk Southern | Powell Max vs. JBG SMITH Properties | Powell Max vs. TRI Pointe Homes | Powell Max vs. Alexandria Real Estate |
Simon Property vs. Kimco Realty | Simon Property vs. Saul Centers | Simon Property vs. Saul Centers | Simon Property vs. Urban Edge Properties |
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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