Correlation Between Forward Air and Cresud SACIF
Can any of the company-specific risk be diversified away by investing in both Forward Air and Cresud SACIF 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 Forward Air and Cresud SACIF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forward Air and Cresud SACIF y, you can compare the effects of market volatilities on Forward Air and Cresud SACIF 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 Forward Air with a short position of Cresud SACIF. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forward Air and Cresud SACIF.
Diversification Opportunities for Forward Air and Cresud SACIF
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Forward and Cresud is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Forward Air and Cresud SACIF y in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cresud SACIF y and Forward Air 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 Forward Air are associated (or correlated) with Cresud SACIF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cresud SACIF y has no effect on the direction of Forward Air i.e., Forward Air and Cresud SACIF go up and down completely randomly.
Pair Corralation between Forward Air and Cresud SACIF
Given the investment horizon of 90 days Forward Air is expected to under-perform the Cresud SACIF. But the stock apears to be less risky and, when comparing its historical volatility, Forward Air is 1.3 times less risky than Cresud SACIF. The stock trades about -0.18 of its potential returns per unit of risk. The Cresud SACIF y is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,118 in Cresud SACIF y on August 4, 2025 and sell it today you would earn a total of 119.00 from holding Cresud SACIF y or generate 10.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Forward Air vs. Cresud SACIF y
Performance |
| Timeline |
| Forward Air |
| Cresud SACIF y |
Forward Air and Cresud SACIF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Forward Air and Cresud SACIF
The main advantage of trading using opposite Forward Air and Cresud SACIF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forward Air position performs unexpectedly, Cresud SACIF 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 SACIF will offset losses from the drop in Cresud SACIF's long position.| Forward Air vs. FTAI Infrastructure | Forward Air vs. Quanex Building Products | Forward Air vs. Compass Diversified Holdings | Forward Air vs. T1 Energy |
| Cresud SACIF vs. Compass Diversified Holdings | Cresud SACIF vs. FTAI Infrastructure | Cresud SACIF vs. Cool Company | Cresud SACIF vs. Sun Country Airlines |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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