Correlation Between Federal National and Orbia AdvanceSAB
Can any of the company-specific risk be diversified away by investing in both Federal National and Orbia AdvanceSAB 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 Federal National and Orbia AdvanceSAB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal National Mortgage and Orbia Advance, you can compare the effects of market volatilities on Federal National and Orbia AdvanceSAB 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 Federal National with a short position of Orbia AdvanceSAB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal National and Orbia AdvanceSAB.
Diversification Opportunities for Federal National and Orbia AdvanceSAB
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Federal and Orbia is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Federal National Mortgage and Orbia Advance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orbia AdvanceSAB and Federal National 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 Federal National Mortgage are associated (or correlated) with Orbia AdvanceSAB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orbia AdvanceSAB has no effect on the direction of Federal National i.e., Federal National and Orbia AdvanceSAB go up and down completely randomly.
Pair Corralation between Federal National and Orbia AdvanceSAB
Assuming the 90 days horizon Federal National Mortgage is expected to generate 1.8 times more return on investment than Orbia AdvanceSAB. However, Federal National is 1.8 times more volatile than Orbia Advance. It trades about 0.11 of its potential returns per unit of risk. Orbia Advance is currently generating about -0.08 per unit of risk. If you would invest 658,000 in Federal National Mortgage on September 4, 2024 and sell it today you would earn a total of 2,642,000 from holding Federal National Mortgage or generate 401.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 73.98% |
| Values | Daily Returns |
Federal National Mortgage vs. Orbia Advance
Performance |
| Timeline |
| Federal National Mortgage |
| Orbia AdvanceSAB |
Federal National and Orbia AdvanceSAB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federal National and Orbia AdvanceSAB
The main advantage of trading using opposite Federal National and Orbia AdvanceSAB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal National position performs unexpectedly, Orbia AdvanceSAB 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 Orbia AdvanceSAB will offset losses from the drop in Orbia AdvanceSAB's long position.| Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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