Correlation Between JPMorgan Core and SPDR DoubleLine
Can any of the company-specific risk be diversified away by investing in both JPMorgan Core and SPDR DoubleLine 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 Core and SPDR DoubleLine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPMorgan Core Plus and SPDR DoubleLine Total, you can compare the effects of market volatilities on JPMorgan Core and SPDR DoubleLine 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 Core with a short position of SPDR DoubleLine. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Core and SPDR DoubleLine.
Diversification Opportunities for JPMorgan Core and SPDR DoubleLine
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between JPMorgan and SPDR is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Core Plus and SPDR DoubleLine Total in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR DoubleLine Total and JPMorgan Core 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 Core Plus are associated (or correlated) with SPDR DoubleLine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR DoubleLine Total has no effect on the direction of JPMorgan Core i.e., JPMorgan Core and SPDR DoubleLine go up and down completely randomly.
Pair Corralation between JPMorgan Core and SPDR DoubleLine
Given the investment horizon of 90 days JPMorgan Core is expected to generate 1.01 times less return on investment than SPDR DoubleLine. But when comparing it to its historical volatility, JPMorgan Core Plus is 1.04 times less risky than SPDR DoubleLine. It trades about 0.04 of its potential returns per unit of risk. SPDR DoubleLine Total is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3,691 in SPDR DoubleLine Total on January 13, 2025 and sell it today you would earn a total of 256.00 from holding SPDR DoubleLine Total or generate 6.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
JPMorgan Core Plus vs. SPDR DoubleLine Total
Performance |
Timeline |
JPMorgan Core Plus |
SPDR DoubleLine Total |
JPMorgan Core and SPDR DoubleLine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Core and SPDR DoubleLine
The main advantage of trading using opposite JPMorgan Core and SPDR DoubleLine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Core position performs unexpectedly, SPDR DoubleLine 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 SPDR DoubleLine will offset losses from the drop in SPDR DoubleLine's long position.JPMorgan Core vs. JPMorgan BetaBuilders International | JPMorgan Core vs. JPMorgan BetaBuilders Equity | JPMorgan Core vs. JPMorgan Emerging Markets | JPMorgan Core vs. JPMorgan BetaBuilders Canada |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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