Correlation Between Jhancock Disciplined and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Jhancock Disciplined and Floating Rate 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 Disciplined and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jhancock Disciplined Value and Floating Rate Fund, you can compare the effects of market volatilities on Jhancock Disciplined and Floating Rate 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 Disciplined with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jhancock Disciplined and Floating Rate.
Diversification Opportunities for Jhancock Disciplined and Floating Rate
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jhancock and Floating is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Jhancock Disciplined Value and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and Jhancock Disciplined 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 Disciplined Value are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of Jhancock Disciplined i.e., Jhancock Disciplined and Floating Rate go up and down completely randomly.
Pair Corralation between Jhancock Disciplined and Floating Rate
Assuming the 90 days horizon Jhancock Disciplined Value is expected to generate 6.13 times more return on investment than Floating Rate. However, Jhancock Disciplined is 6.13 times more volatile than Floating Rate Fund. It trades about 0.14 of its potential returns per unit of risk. Floating Rate Fund is currently generating about 0.24 per unit of risk. If you would invest 2,502 in Jhancock Disciplined Value on September 12, 2024 and sell it today you would earn a total of 173.00 from holding Jhancock Disciplined Value or generate 6.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jhancock Disciplined Value vs. Floating Rate Fund
Performance |
Timeline |
Jhancock Disciplined |
Floating Rate |
Jhancock Disciplined and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jhancock Disciplined and Floating Rate
The main advantage of trading using opposite Jhancock Disciplined and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jhancock Disciplined position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.Jhancock Disciplined vs. Morningstar Unconstrained Allocation | Jhancock Disciplined vs. Aqr Large Cap | Jhancock Disciplined vs. Fisher Large Cap |
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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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