Correlation Between Balanced Fund and Multi Index
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Multi Index 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 Balanced Fund and Multi Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Fund Retail and Multi Index 2020 Lifetime, you can compare the effects of market volatilities on Balanced Fund and Multi Index 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 Balanced Fund with a short position of Multi Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Multi Index.
Diversification Opportunities for Balanced Fund and Multi Index
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Balanced and Multi is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Retail and Multi Index 2020 Lifetime in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Index 2020 and Balanced Fund 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 Balanced Fund Retail are associated (or correlated) with Multi Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Index 2020 has no effect on the direction of Balanced Fund i.e., Balanced Fund and Multi Index go up and down completely randomly.
Pair Corralation between Balanced Fund and Multi Index
Assuming the 90 days horizon Balanced Fund Retail is expected to generate 1.46 times more return on investment than Multi Index. However, Balanced Fund is 1.46 times more volatile than Multi Index 2020 Lifetime. It trades about 0.23 of its potential returns per unit of risk. Multi Index 2020 Lifetime is currently generating about 0.26 per unit of risk. If you would invest 1,218 in Balanced Fund Retail on May 8, 2025 and sell it today you would earn a total of 83.00 from holding Balanced Fund Retail or generate 6.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Fund Retail vs. Multi Index 2020 Lifetime
Performance |
Timeline |
Balanced Fund Retail |
Multi Index 2020 |
Balanced Fund and Multi Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Multi Index
The main advantage of trading using opposite Balanced Fund and Multi Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Multi Index 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 Multi Index will offset losses from the drop in Multi Index's long position.Balanced Fund vs. Muirfield Fund Retail | Balanced Fund vs. Dynamic Growth Fund | Balanced Fund vs. Infrastructure Fund Retail | Balanced Fund vs. Quantex Fund Retail |
Multi Index vs. Asg Global Alternatives | Multi Index vs. Legg Mason Global | Multi Index vs. Barings Global Floating | Multi Index vs. The Hartford Global |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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