Correlation Between Franklin High and Jpmorgan Hedged
Can any of the company-specific risk be diversified away by investing in both Franklin High 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 Franklin High and Jpmorgan Hedged into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin High Yield and Jpmorgan Hedged Equity, you can compare the effects of market volatilities on Franklin High 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 Franklin High with a short position of Jpmorgan Hedged. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Jpmorgan Hedged.
Diversification Opportunities for Franklin High and Jpmorgan Hedged
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and Jpmorgan is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield 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 Franklin High 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 Franklin High Yield 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 Franklin High i.e., Franklin High and Jpmorgan Hedged go up and down completely randomly.
Pair Corralation between Franklin High and Jpmorgan Hedged
Assuming the 90 days horizon Franklin High is expected to generate 4.08 times less return on investment than Jpmorgan Hedged. But when comparing it to its historical volatility, Franklin High Yield is 1.53 times less risky than Jpmorgan Hedged. It trades about 0.05 of its potential returns per unit of risk. Jpmorgan Hedged Equity is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,457 in Jpmorgan Hedged Equity on October 24, 2024 and sell it today you would earn a total of 438.00 from holding Jpmorgan Hedged Equity or generate 30.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin High Yield vs. Jpmorgan Hedged Equity
Performance |
Timeline |
Franklin High Yield |
Jpmorgan Hedged Equity |
Franklin High and Jpmorgan Hedged Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Jpmorgan Hedged
The main advantage of trading using opposite Franklin High and Jpmorgan Hedged positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High 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.Franklin High vs. Rbc Funds Trust | Franklin High vs. Transamerica Asset Allocation | Franklin High vs. Rbc Global Equity | Franklin High vs. Dreyfusstandish Global Fixed |
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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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