Correlation Between California Bond and Jpmorgan Hedged
Can any of the company-specific risk be diversified away by investing in both California Bond and Jpmorgan Hedged 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 California Bond and Jpmorgan Hedged into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between California Bond Fund and Jpmorgan Hedged Equity, you can compare the effects of market volatilities on California Bond and Jpmorgan Hedged 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 California Bond with a short position of Jpmorgan Hedged. Check out your portfolio center. Please also check ongoing floating volatility patterns of California Bond and Jpmorgan Hedged.
Diversification Opportunities for California Bond and Jpmorgan Hedged
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between California and Jpmorgan is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding California Bond Fund and Jpmorgan Hedged Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Hedged Equity and California Bond 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 California Bond Fund are associated (or correlated) with Jpmorgan Hedged. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Hedged Equity has no effect on the direction of California Bond i.e., California Bond and Jpmorgan Hedged go up and down completely randomly.
Pair Corralation between California Bond and Jpmorgan Hedged
Assuming the 90 days horizon California Bond Fund is expected to generate 0.49 times more return on investment than Jpmorgan Hedged. However, California Bond Fund is 2.06 times less risky than Jpmorgan Hedged. It trades about 0.02 of its potential returns per unit of risk. Jpmorgan Hedged Equity is currently generating about -0.05 per unit of risk. If you would invest 1,022 in California Bond Fund on December 23, 2024 and sell it today you would earn a total of 3.00 from holding California Bond Fund or generate 0.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
California Bond Fund vs. Jpmorgan Hedged Equity
Performance |
Timeline |
California Bond |
Jpmorgan Hedged Equity |
California Bond and Jpmorgan Hedged Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with California Bond and Jpmorgan Hedged
The main advantage of trading using opposite California Bond and Jpmorgan Hedged positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if California Bond position performs unexpectedly, Jpmorgan Hedged 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 Jpmorgan Hedged will offset losses from the drop in Jpmorgan Hedged's long position.California Bond vs. Gmo Global Developed | California Bond vs. Legg Mason Global | California Bond vs. Dws Global Macro | California Bond vs. Ab Global Bond |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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