Correlation Between Jhancock Multi-index and Balanced Fund
Can any of the company-specific risk be diversified away by investing in both Jhancock Multi-index and Balanced Fund 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 Jhancock Multi-index and Balanced Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jhancock Multi Index 2065 and Balanced Fund Class, you can compare the effects of market volatilities on Jhancock Multi-index and Balanced Fund 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 Jhancock Multi-index with a short position of Balanced Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jhancock Multi-index and Balanced Fund.
Diversification Opportunities for Jhancock Multi-index and Balanced Fund
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jhancock and Balanced is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Jhancock Multi Index 2065 and Balanced Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Balanced Fund Class and Jhancock 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 Jhancock Multi Index 2065 are associated (or correlated) with Balanced Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Balanced Fund Class has no effect on the direction of Jhancock Multi-index i.e., Jhancock Multi-index and Balanced Fund go up and down completely randomly.
Pair Corralation between Jhancock Multi-index and Balanced Fund
Assuming the 90 days horizon Jhancock Multi Index 2065 is expected to under-perform the Balanced Fund. In addition to that, Jhancock Multi-index is 1.82 times more volatile than Balanced Fund Class. It trades about -0.03 of its total potential returns per unit of risk. Balanced Fund Class is currently generating about 0.17 per unit of volatility. If you would invest 2,895 in Balanced Fund Class on October 25, 2024 and sell it today you would earn a total of 53.00 from holding Balanced Fund Class or generate 1.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 94.74% |
Values | Daily Returns |
Jhancock Multi Index 2065 vs. Balanced Fund Class
Performance |
Timeline |
Jhancock Multi Index |
Balanced Fund Class |
Jhancock Multi-index and Balanced Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jhancock Multi-index and Balanced Fund
The main advantage of trading using opposite Jhancock Multi-index and Balanced Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jhancock Multi-index position performs unexpectedly, Balanced Fund 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 Balanced Fund will offset losses from the drop in Balanced Fund's long position.Jhancock Multi-index vs. Growth Strategy Fund | Jhancock Multi-index vs. Wasatch Frontier Emerging | Jhancock Multi-index vs. Pimco Moditiesplus Strategy | Jhancock Multi-index vs. Dws Emerging Markets |
Balanced Fund vs. Locorr Market Trend | Balanced Fund vs. Sp Midcap Index | Balanced Fund vs. Inverse Emerging Markets | Balanced Fund vs. Dws Emerging Markets |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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