Correlation Between SLM Corp and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both SLM Corp and Federal Agricultural 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 SLM Corp and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SLM Corp Pb and Federal Agricultural Mortgage, you can compare the effects of market volatilities on SLM Corp and Federal Agricultural 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 SLM Corp with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of SLM Corp and Federal Agricultural.
Diversification Opportunities for SLM Corp and Federal Agricultural
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between SLM and Federal is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding SLM Corp Pb and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and SLM Corp 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 SLM Corp Pb are associated (or correlated) with Federal Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Agricultural has no effect on the direction of SLM Corp i.e., SLM Corp and Federal Agricultural go up and down completely randomly.
Pair Corralation between SLM Corp and Federal Agricultural
Assuming the 90 days horizon SLM Corp Pb is expected to generate 0.75 times more return on investment than Federal Agricultural. However, SLM Corp Pb is 1.34 times less risky than Federal Agricultural. It trades about 0.22 of its potential returns per unit of risk. Federal Agricultural Mortgage is currently generating about -0.21 per unit of risk. If you would invest 7,390 in SLM Corp Pb on August 27, 2024 and sell it today you would earn a total of 104.00 from holding SLM Corp Pb or generate 1.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
SLM Corp Pb vs. Federal Agricultural Mortgage
Performance |
| Timeline |
| SLM Corp Pb |
| Federal Agricultural |
SLM Corp and Federal Agricultural Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SLM Corp and Federal Agricultural
The main advantage of trading using opposite SLM Corp and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SLM Corp position performs unexpectedly, Federal Agricultural 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 Federal Agricultural will offset losses from the drop in Federal Agricultural's long position.| SLM Corp vs. Associates First Capital | SLM Corp vs. Federal Agricultural Mortgage | SLM Corp vs. Federal Agricultural Mortgage | SLM Corp vs. Federal Agricultural Mortgage |
| Federal Agricultural vs. Capital One Financial | Federal Agricultural vs. Capital One Financial | Federal Agricultural vs. Capital One Financial | Federal Agricultural vs. JPMorgan Chase Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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