Correlation Between Federal National and Sparta Capital
Can any of the company-specific risk be diversified away by investing in both Federal National and Sparta Capital 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 Sparta Capital 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 Sparta Capital, you can compare the effects of market volatilities on Federal National and Sparta Capital 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 Sparta Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal National and Sparta Capital.
Diversification Opportunities for Federal National and Sparta Capital
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Federal and Sparta is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Federal National Mortgage and Sparta Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sparta Capital 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 Sparta Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sparta Capital has no effect on the direction of Federal National i.e., Federal National and Sparta Capital go up and down completely randomly.
Pair Corralation between Federal National and Sparta Capital
Given the investment horizon of 90 days Federal National Mortgage is expected to generate 0.48 times more return on investment than Sparta Capital. However, Federal National Mortgage is 2.09 times less risky than Sparta Capital. It trades about 0.18 of its potential returns per unit of risk. Sparta Capital is currently generating about 0.01 per unit of risk. If you would invest 339.00 in Federal National Mortgage on December 29, 2024 and sell it today you would earn a total of 362.00 from holding Federal National Mortgage or generate 106.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federal National Mortgage vs. Sparta Capital
Performance |
Timeline |
Federal National Mortgage |
Sparta Capital |
Federal National and Sparta Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal National and Sparta Capital
The main advantage of trading using opposite Federal National and Sparta Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal National position performs unexpectedly, Sparta Capital 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 Sparta Capital will offset losses from the drop in Sparta Capital's long position.Federal National vs. Integrated Drilling Equipment | Federal National vs. Tenaris SA ADR | Federal National vs. Lucid Group | Federal National vs. Delek Drilling |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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