Correlation Between Jpmorgan Strategic and Power Floating
Can any of the company-specific risk be diversified away by investing in both Jpmorgan Strategic and Power Floating 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 Jpmorgan Strategic and Power Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jpmorgan Strategic Income and Power Floating Rate, you can compare the effects of market volatilities on Jpmorgan Strategic and Power Floating 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 Jpmorgan Strategic with a short position of Power Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jpmorgan Strategic and Power Floating.
Diversification Opportunities for Jpmorgan Strategic and Power Floating
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jpmorgan and Power is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Jpmorgan Strategic Income and Power Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Floating Rate and Jpmorgan Strategic 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 Jpmorgan Strategic Income are associated (or correlated) with Power Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Floating Rate has no effect on the direction of Jpmorgan Strategic i.e., Jpmorgan Strategic and Power Floating go up and down completely randomly.
Pair Corralation between Jpmorgan Strategic and Power Floating
Assuming the 90 days horizon Jpmorgan Strategic is expected to generate 1.2 times less return on investment than Power Floating. In addition to that, Jpmorgan Strategic is 1.1 times more volatile than Power Floating Rate. It trades about 0.19 of its total potential returns per unit of risk. Power Floating Rate is currently generating about 0.25 per unit of volatility. If you would invest 950.00 in Power Floating Rate on September 21, 2024 and sell it today you would earn a total of 10.00 from holding Power Floating Rate or generate 1.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jpmorgan Strategic Income vs. Power Floating Rate
Performance |
Timeline |
Jpmorgan Strategic Income |
Power Floating Rate |
Jpmorgan Strategic and Power Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jpmorgan Strategic and Power Floating
The main advantage of trading using opposite Jpmorgan Strategic and Power Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jpmorgan Strategic position performs unexpectedly, Power Floating 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 Power Floating will offset losses from the drop in Power Floating's long position.Jpmorgan Strategic vs. Jpmorgan Income Builder | Jpmorgan Strategic vs. Jpmorgan E Bond | Jpmorgan Strategic vs. Jpmorgan High Yield | Jpmorgan Strategic vs. Pimco Unconstrained Bond |
Power Floating vs. Power Global Tactical | Power Floating vs. Herzfeld Caribbean Basin | Power Floating vs. Vanguard 500 Index | Power Floating vs. New Economy Fund |
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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