Correlation Between Empire State and Compagnie
Can any of the company-specific risk be diversified away by investing in both Empire State and Compagnie 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 Compagnie 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 Compagnie d Entreprises, you can compare the effects of market volatilities on Empire State and Compagnie 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 Compagnie. Check out your portfolio center. Please also check ongoing floating volatility patterns of Empire State and Compagnie.
Diversification Opportunities for Empire State and Compagnie
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Empire and Compagnie is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Empire State Realty and Compagnie d Entreprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compagnie d Entreprises 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 Compagnie. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compagnie d Entreprises has no effect on the direction of Empire State i.e., Empire State and Compagnie go up and down completely randomly.
Pair Corralation between Empire State and Compagnie
Given the investment horizon of 90 days Empire State Realty is expected to generate 1.25 times more return on investment than Compagnie. However, Empire State is 1.25 times more volatile than Compagnie d Entreprises. It trades about 0.01 of its potential returns per unit of risk. Compagnie d Entreprises is currently generating about 0.0 per unit of risk. If you would invest 868.00 in Empire State Realty on November 28, 2024 and sell it today you would earn a total of 0.00 from holding Empire State Realty or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.9% |
Values | Daily Returns |
Empire State Realty vs. Compagnie d Entreprises
Performance |
Timeline |
Empire State Realty |
Compagnie d Entreprises |
Empire State and Compagnie Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Empire State and Compagnie
The main advantage of trading using opposite Empire State and Compagnie positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Empire State position performs unexpectedly, Compagnie 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 Compagnie will offset losses from the drop in Compagnie's long position.Empire State vs. Paramount Group | Empire State vs. Hudson Pacific Properties | Empire State vs. Equity Commonwealth | Empire State vs. Douglas Emmett |
Compagnie vs. Ackermans Van Haaren | Compagnie vs. NV Bekaert SA | Compagnie vs. Melexis NV | Compagnie vs. DIeteren Group SA |
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 Global Correlations module to find global opportunities by holding instruments from different markets.
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