Correlation Between Balanced Fund and Kensington Dynamic
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Kensington Dynamic 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 Kensington Dynamic 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 Kensington Dynamic Growth, you can compare the effects of market volatilities on Balanced Fund and Kensington Dynamic 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 Kensington Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Kensington Dynamic.
Diversification Opportunities for Balanced Fund and Kensington Dynamic
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Balanced and Kensington is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Retail and Kensington Dynamic Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kensington Dynamic Growth 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 Kensington Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kensington Dynamic Growth has no effect on the direction of Balanced Fund i.e., Balanced Fund and Kensington Dynamic go up and down completely randomly.
Pair Corralation between Balanced Fund and Kensington Dynamic
Assuming the 90 days horizon Balanced Fund Retail is expected to under-perform the Kensington Dynamic. In addition to that, Balanced Fund is 1.39 times more volatile than Kensington Dynamic Growth. It trades about -0.12 of its total potential returns per unit of risk. Kensington Dynamic Growth is currently generating about 0.03 per unit of volatility. If you would invest 1,085 in Kensington Dynamic Growth on October 7, 2024 and sell it today you would earn a total of 19.00 from holding Kensington Dynamic Growth or generate 1.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Fund Retail vs. Kensington Dynamic Growth
Performance |
Timeline |
Balanced Fund Retail |
Kensington Dynamic Growth |
Balanced Fund and Kensington Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Kensington Dynamic
The main advantage of trading using opposite Balanced Fund and Kensington Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Kensington Dynamic 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 Kensington Dynamic will offset losses from the drop in Kensington Dynamic'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 |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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