Correlation Between United States and Cresud Wnt
Can any of the company-specific risk be diversified away by investing in both United States and Cresud Wnt 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 United States and Cresud Wnt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and Cresud Wnt, you can compare the effects of market volatilities on United States and Cresud Wnt 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 United States with a short position of Cresud Wnt. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and Cresud Wnt.
Diversification Opportunities for United States and Cresud Wnt
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between United and Cresud is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and Cresud Wnt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cresud Wnt and United States 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 United States Steel are associated (or correlated) with Cresud Wnt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cresud Wnt has no effect on the direction of United States i.e., United States and Cresud Wnt go up and down completely randomly.
Pair Corralation between United States and Cresud Wnt
Given the investment horizon of 90 days United States Steel is expected to under-perform the Cresud Wnt. But the stock apears to be less risky and, when comparing its historical volatility, United States Steel is 1.19 times less risky than Cresud Wnt. The stock trades about -0.03 of its potential returns per unit of risk. The Cresud Wnt is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 69,000 in Cresud Wnt on October 9, 2024 and sell it today you would earn a total of 62,500 from holding Cresud Wnt or generate 90.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. Cresud Wnt
Performance |
Timeline |
United States Steel |
Cresud Wnt |
United States and Cresud Wnt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and Cresud Wnt
The main advantage of trading using opposite United States and Cresud Wnt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, Cresud Wnt 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 Cresud Wnt will offset losses from the drop in Cresud Wnt's long position.United States vs. Transportadora de Gas | United States vs. Harmony Gold Mining | United States vs. Compania de Transporte | United States vs. Agrometal SAI |
Cresud Wnt vs. Harmony Gold Mining | Cresud Wnt vs. Transportadora de Gas | Cresud Wnt vs. Telecom Argentina | Cresud Wnt vs. Agrometal SAI |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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