Correlation Between Cresud SACIF and Empire State
Can any of the company-specific risk be diversified away by investing in both Cresud SACIF and Empire State 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 Cresud SACIF and Empire State into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cresud SACIF y and Empire State Realty, you can compare the effects of market volatilities on Cresud SACIF and Empire State 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 Cresud SACIF with a short position of Empire State. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cresud SACIF and Empire State.
Diversification Opportunities for Cresud SACIF and Empire State
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cresud and Empire is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Cresud SACIF y and Empire State Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Empire State Realty and Cresud SACIF 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 Cresud SACIF y are associated (or correlated) with Empire State. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Empire State Realty has no effect on the direction of Cresud SACIF i.e., Cresud SACIF and Empire State go up and down completely randomly.
Pair Corralation between Cresud SACIF and Empire State
Assuming the 90 days horizon Cresud SACIF y is expected to generate 1.38 times more return on investment than Empire State. However, Cresud SACIF is 1.38 times more volatile than Empire State Realty. It trades about -0.01 of its potential returns per unit of risk. Empire State Realty is currently generating about -0.19 per unit of risk. If you would invest 1,368 in Cresud SACIF y on October 9, 2024 and sell it today you would lose (17.00) from holding Cresud SACIF y or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cresud SACIF y vs. Empire State Realty
Performance |
Timeline |
Cresud SACIF y |
Empire State Realty |
Cresud SACIF and Empire State Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cresud SACIF and Empire State
The main advantage of trading using opposite Cresud SACIF and Empire State positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cresud SACIF position performs unexpectedly, Empire State 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 Empire State will offset losses from the drop in Empire State's long position.Cresud SACIF vs. Griffon | Cresud SACIF vs. Matthews International | Cresud SACIF vs. Valmont Industries | Cresud SACIF vs. Steel Partners Holdings |
Empire State vs. Boston Properties | Empire State vs. Douglas Emmett | Empire State vs. Kilroy Realty Corp | Empire State vs. Alexandria Real Estate |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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