Correlation Between Cresud SACIF and Simat Technologies
Can any of the company-specific risk be diversified away by investing in both Cresud SACIF and Simat Technologies 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 Simat Technologies 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 Simat Technologies Public, you can compare the effects of market volatilities on Cresud SACIF and Simat Technologies 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 Simat Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cresud SACIF and Simat Technologies.
Diversification Opportunities for Cresud SACIF and Simat Technologies
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cresud and Simat is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Cresud SACIF y and Simat Technologies Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simat Technologies Public 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 Simat Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simat Technologies Public has no effect on the direction of Cresud SACIF i.e., Cresud SACIF and Simat Technologies go up and down completely randomly.
Pair Corralation between Cresud SACIF and Simat Technologies
Assuming the 90 days horizon Cresud SACIF is expected to generate 8.35 times less return on investment than Simat Technologies. But when comparing it to its historical volatility, Cresud SACIF y is 15.88 times less risky than Simat Technologies. It trades about 0.07 of its potential returns per unit of risk. Simat Technologies Public is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 222.00 in Simat Technologies Public on October 4, 2024 and sell it today you would lose (79.00) from holding Simat Technologies Public or give up 35.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
Cresud SACIF y vs. Simat Technologies Public
Performance |
Timeline |
Cresud SACIF y |
Simat Technologies Public |
Cresud SACIF and Simat Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cresud SACIF and Simat Technologies
The main advantage of trading using opposite Cresud SACIF and Simat Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cresud SACIF position performs unexpectedly, Simat Technologies 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 Simat Technologies will offset losses from the drop in Simat Technologies' long position.Cresud SACIF vs. Griffon | Cresud SACIF vs. Matthews International | Cresud SACIF vs. Valmont Industries | Cresud SACIF vs. Steel Partners Holdings |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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