Correlation Between Mid Cap and Financials Ultrasector
Can any of the company-specific risk be diversified away by investing in both Mid Cap and Financials Ultrasector 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 Mid Cap and Financials Ultrasector into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mid Cap 15x Strategy and Financials Ultrasector Profund, you can compare the effects of market volatilities on Mid Cap and Financials Ultrasector 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 Mid Cap with a short position of Financials Ultrasector. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mid Cap and Financials Ultrasector.
Diversification Opportunities for Mid Cap and Financials Ultrasector
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mid and Financials is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Mid Cap 15x Strategy and Financials Ultrasector Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financials Ultrasector and Mid Cap 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 Mid Cap 15x Strategy are associated (or correlated) with Financials Ultrasector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financials Ultrasector has no effect on the direction of Mid Cap i.e., Mid Cap and Financials Ultrasector go up and down completely randomly.
Pair Corralation between Mid Cap and Financials Ultrasector
Assuming the 90 days horizon Mid Cap 15x Strategy is expected to under-perform the Financials Ultrasector. In addition to that, Mid Cap is 1.03 times more volatile than Financials Ultrasector Profund. It trades about -0.26 of its total potential returns per unit of risk. Financials Ultrasector Profund is currently generating about -0.17 per unit of volatility. If you would invest 4,413 in Financials Ultrasector Profund on October 8, 2024 and sell it today you would lose (228.00) from holding Financials Ultrasector Profund or give up 5.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mid Cap 15x Strategy vs. Financials Ultrasector Profund
Performance |
Timeline |
Mid Cap 15x |
Financials Ultrasector |
Mid Cap and Financials Ultrasector Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mid Cap and Financials Ultrasector
The main advantage of trading using opposite Mid Cap and Financials Ultrasector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mid Cap position performs unexpectedly, Financials Ultrasector 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 Financials Ultrasector will offset losses from the drop in Financials Ultrasector's long position.Mid Cap vs. Ultramid Cap Profund Ultramid Cap | Mid Cap vs. Precious Metals Ultrasector | Mid Cap vs. Real Estate Ultrasector | Mid Cap vs. Fidelity Advisor Energy |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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