Correlation Between Cresud SACIF and Canadian National
Can any of the company-specific risk be diversified away by investing in both Cresud SACIF and Canadian National 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 Canadian National 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 Canadian National Railway, you can compare the effects of market volatilities on Cresud SACIF and Canadian National 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 Canadian National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cresud SACIF and Canadian National.
Diversification Opportunities for Cresud SACIF and Canadian National
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cresud and Canadian is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Cresud SACIF y and Canadian National Railway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian National Railway 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 Canadian National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian National Railway has no effect on the direction of Cresud SACIF i.e., Cresud SACIF and Canadian National go up and down completely randomly.
Pair Corralation between Cresud SACIF and Canadian National
Assuming the 90 days horizon Cresud SACIF y is expected to generate 2.46 times more return on investment than Canadian National. However, Cresud SACIF is 2.46 times more volatile than Canadian National Railway. It trades about 0.07 of its potential returns per unit of risk. Canadian National Railway is currently generating about -0.01 per unit of risk. If you would invest 592.00 in Cresud SACIF y on October 5, 2024 and sell it today you would earn a total of 746.00 from holding Cresud SACIF y or generate 126.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.8% |
Values | Daily Returns |
Cresud SACIF y vs. Canadian National Railway
Performance |
Timeline |
Cresud SACIF y |
Canadian National Railway |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Cresud SACIF and Canadian National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cresud SACIF and Canadian National
The main advantage of trading using opposite Cresud SACIF and Canadian National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cresud SACIF position performs unexpectedly, Canadian National 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 Canadian National will offset losses from the drop in Canadian National's long position.Cresud SACIF vs. Griffon | Cresud SACIF vs. Matthews International | Cresud SACIF vs. Valmont Industries | Cresud SACIF vs. Steel Partners Holdings |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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