Correlation Between Aig Government and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both Aig Government and Mfs Blended 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 Aig Government and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aig Government Money and Mfs Blended Research, you can compare the effects of market volatilities on Aig Government and Mfs Blended 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 Aig Government with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aig Government and Mfs Blended.
Diversification Opportunities for Aig Government and Mfs Blended
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aig and Mfs is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Aig Government Money and Mfs Blended Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Blended Research and Aig Government 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 Aig Government Money are associated (or correlated) with Mfs Blended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Blended Research has no effect on the direction of Aig Government i.e., Aig Government and Mfs Blended go up and down completely randomly.
Pair Corralation between Aig Government and Mfs Blended
Assuming the 90 days horizon Aig Government Money is expected to generate 0.25 times more return on investment than Mfs Blended. However, Aig Government Money is 4.05 times less risky than Mfs Blended. It trades about -0.12 of its potential returns per unit of risk. Mfs Blended Research is currently generating about -0.08 per unit of risk. If you would invest 1,018 in Aig Government Money on September 25, 2024 and sell it today you would lose (17.00) from holding Aig Government Money or give up 1.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Aig Government Money vs. Mfs Blended Research
Performance |
Timeline |
Aig Government Money |
Mfs Blended Research |
Aig Government and Mfs Blended Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aig Government and Mfs Blended
The main advantage of trading using opposite Aig Government and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aig Government position performs unexpectedly, Mfs Blended 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 Mfs Blended will offset losses from the drop in Mfs Blended's long position.Aig Government vs. Western Asset High | Aig Government vs. Metropolitan West High | Aig Government vs. Calvert High Yield | Aig Government vs. Franklin High Income |
Mfs Blended vs. Aig Government Money | Mfs Blended vs. Sit Government Securities | Mfs Blended vs. Virtus Seix Government | Mfs Blended vs. Prudential Government Income |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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