Correlation Between Empire State and Affiliated Managers
Can any of the company-specific risk be diversified away by investing in both Empire State and Affiliated Managers 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 Empire State and Affiliated Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Empire State Realty and Affiliated Managers Group, you can compare the effects of market volatilities on Empire State and Affiliated Managers 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 Empire State with a short position of Affiliated Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Empire State and Affiliated Managers.
Diversification Opportunities for Empire State and Affiliated Managers
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Empire and Affiliated is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Empire State Realty and Affiliated Managers Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Affiliated Managers and Empire State 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 Empire State Realty are associated (or correlated) with Affiliated Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Affiliated Managers has no effect on the direction of Empire State i.e., Empire State and Affiliated Managers go up and down completely randomly.
Pair Corralation between Empire State and Affiliated Managers
Given the investment horizon of 90 days Empire State Realty is expected to generate 2.19 times more return on investment than Affiliated Managers. However, Empire State is 2.19 times more volatile than Affiliated Managers Group. It trades about 0.04 of its potential returns per unit of risk. Affiliated Managers Group is currently generating about 0.04 per unit of risk. If you would invest 1,075 in Empire State Realty on August 30, 2024 and sell it today you would earn a total of 33.00 from holding Empire State Realty or generate 3.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Empire State Realty vs. Affiliated Managers Group
Performance |
Timeline |
Empire State Realty |
Affiliated Managers |
Empire State and Affiliated Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Empire State and Affiliated Managers
The main advantage of trading using opposite Empire State and Affiliated Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Empire State position performs unexpectedly, Affiliated Managers 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 Affiliated Managers will offset losses from the drop in Affiliated Managers' long position.Empire State vs. Paramount Group | Empire State vs. Hudson Pacific Properties | Empire State vs. Equity Commonwealth | Empire State vs. Douglas Emmett |
Affiliated Managers vs. DBA Sempra 5750 | Affiliated Managers vs. CMS Energy Corp | Affiliated Managers vs. American Financial Group | Affiliated Managers vs. National Rural Utilities |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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