Correlation Between Multi Index and Financial Industries
Can any of the company-specific risk be diversified away by investing in both Multi Index and Financial Industries 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 Multi Index and Financial Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Index 2015 Lifetime and Financial Industries Fund, you can compare the effects of market volatilities on Multi Index and Financial Industries 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 Multi Index with a short position of Financial Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Index and Financial Industries.
Diversification Opportunities for Multi Index and Financial Industries
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Multi and Financial is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Multi Index 2015 Lifetime and Financial Industries Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Industries and Multi Index 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 Multi Index 2015 Lifetime are associated (or correlated) with Financial Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Industries has no effect on the direction of Multi Index i.e., Multi Index and Financial Industries go up and down completely randomly.
Pair Corralation between Multi Index and Financial Industries
Assuming the 90 days horizon Multi Index 2015 Lifetime is expected to generate 0.34 times more return on investment than Financial Industries. However, Multi Index 2015 Lifetime is 2.96 times less risky than Financial Industries. It trades about 0.23 of its potential returns per unit of risk. Financial Industries Fund is currently generating about 0.06 per unit of risk. If you would invest 1,043 in Multi Index 2015 Lifetime on May 6, 2025 and sell it today you would earn a total of 43.00 from holding Multi Index 2015 Lifetime or generate 4.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Index 2015 Lifetime vs. Financial Industries Fund
Performance |
Timeline |
Multi Index 2015 |
Financial Industries |
Multi Index and Financial Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi Index and Financial Industries
The main advantage of trading using opposite Multi Index and Financial Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Index position performs unexpectedly, Financial Industries 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 Financial Industries will offset losses from the drop in Financial Industries' long position.Multi Index vs. Jpmorgan Diversified Fund | Multi Index vs. Stone Ridge Diversified | Multi Index vs. Northern Small Cap | Multi Index vs. Massmutual Premier Diversified |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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