Correlation Between Financials Ultrasector and M Large
Can any of the company-specific risk be diversified away by investing in both Financials Ultrasector and M Large 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 Financials Ultrasector and M Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financials Ultrasector Profund and M Large Cap, you can compare the effects of market volatilities on Financials Ultrasector and M Large 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 Financials Ultrasector with a short position of M Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financials Ultrasector and M Large.
Diversification Opportunities for Financials Ultrasector and M Large
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Financials and MTCGX is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Financials Ultrasector Profund and M Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M Large Cap and Financials Ultrasector 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 Financials Ultrasector Profund are associated (or correlated) with M Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M Large Cap has no effect on the direction of Financials Ultrasector i.e., Financials Ultrasector and M Large go up and down completely randomly.
Pair Corralation between Financials Ultrasector and M Large
Assuming the 90 days horizon Financials Ultrasector Profund is expected to generate 1.57 times more return on investment than M Large. However, Financials Ultrasector is 1.57 times more volatile than M Large Cap. It trades about 0.12 of its potential returns per unit of risk. M Large Cap is currently generating about 0.09 per unit of risk. If you would invest 3,916 in Financials Ultrasector Profund on September 19, 2024 and sell it today you would earn a total of 457.00 from holding Financials Ultrasector Profund or generate 11.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financials Ultrasector Profund vs. M Large Cap
Performance |
Timeline |
Financials Ultrasector |
M Large Cap |
Financials Ultrasector and M Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financials Ultrasector and M Large
The main advantage of trading using opposite Financials Ultrasector and M Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financials Ultrasector position performs unexpectedly, M Large 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 M Large will offset losses from the drop in M Large's long position.Financials Ultrasector vs. Western Asset High | Financials Ultrasector vs. Franklin High Income | Financials Ultrasector vs. Fa 529 Aggressive | Financials Ultrasector vs. Needham Aggressive Growth |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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