Correlation Between Federal Agricultural and Ultra Clean
Can any of the company-specific risk be diversified away by investing in both Federal Agricultural and Ultra Clean 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 Agricultural and Ultra Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal Agricultural Mortgage and Ultra Clean Holdings, you can compare the effects of market volatilities on Federal Agricultural and Ultra Clean 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 Agricultural with a short position of Ultra Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal Agricultural and Ultra Clean.
Diversification Opportunities for Federal Agricultural and Ultra Clean
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Federal and Ultra is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Federal Agricultural Mortgage and Ultra Clean Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultra Clean Holdings and Federal Agricultural 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 Agricultural Mortgage are associated (or correlated) with Ultra Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultra Clean Holdings has no effect on the direction of Federal Agricultural i.e., Federal Agricultural and Ultra Clean go up and down completely randomly.
Pair Corralation between Federal Agricultural and Ultra Clean
Assuming the 90 days horizon Federal Agricultural Mortgage is expected to generate 0.36 times more return on investment than Ultra Clean. However, Federal Agricultural Mortgage is 2.74 times less risky than Ultra Clean. It trades about -0.04 of its potential returns per unit of risk. Ultra Clean Holdings is currently generating about -0.16 per unit of risk. If you would invest 18,651 in Federal Agricultural Mortgage on December 29, 2024 and sell it today you would lose (951.00) from holding Federal Agricultural Mortgage or give up 5.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Federal Agricultural Mortgage vs. Ultra Clean Holdings
Performance |
Timeline |
Federal Agricultural |
Ultra Clean Holdings |
Federal Agricultural and Ultra Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal Agricultural and Ultra Clean
The main advantage of trading using opposite Federal Agricultural and Ultra Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal Agricultural position performs unexpectedly, Ultra Clean 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 Ultra Clean will offset losses from the drop in Ultra Clean's long position.Federal Agricultural vs. MGIC INVESTMENT | Federal Agricultural vs. PREMIER FOODS | Federal Agricultural vs. New Residential Investment | Federal Agricultural vs. DaChan Food Limited |
Ultra Clean vs. SLR Investment Corp | Ultra Clean vs. PennantPark Investment | Ultra Clean vs. Genco Shipping Trading | Ultra Clean vs. Scottish Mortgage Investment |
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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