Correlation Between Applied Finance and Jpmorgan Short
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Jpmorgan Short 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 Applied Finance and Jpmorgan Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Finance Explorer and Jpmorgan Short Duration, you can compare the effects of market volatilities on Applied Finance and Jpmorgan Short 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 Applied Finance with a short position of Jpmorgan Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Jpmorgan Short.
Diversification Opportunities for Applied Finance and Jpmorgan Short
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Applied and Jpmorgan is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Jpmorgan Short Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Short Duration and Applied Finance 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 Applied Finance Explorer are associated (or correlated) with Jpmorgan Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Short Duration has no effect on the direction of Applied Finance i.e., Applied Finance and Jpmorgan Short go up and down completely randomly.
Pair Corralation between Applied Finance and Jpmorgan Short
Assuming the 90 days horizon Applied Finance Explorer is expected to under-perform the Jpmorgan Short. In addition to that, Applied Finance is 8.89 times more volatile than Jpmorgan Short Duration. It trades about -0.4 of its total potential returns per unit of risk. Jpmorgan Short Duration is currently generating about -0.31 per unit of volatility. If you would invest 931.00 in Jpmorgan Short Duration on October 10, 2024 and sell it today you would lose (7.00) from holding Jpmorgan Short Duration or give up 0.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Finance Explorer vs. Jpmorgan Short Duration
Performance |
Timeline |
Applied Finance Explorer |
Jpmorgan Short Duration |
Applied Finance and Jpmorgan Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Jpmorgan Short
The main advantage of trading using opposite Applied Finance and Jpmorgan Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Jpmorgan Short 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 Short will offset losses from the drop in Jpmorgan Short's long position.Applied Finance vs. Thrivent Small Cap | Applied Finance vs. Applied Finance Select | Applied Finance vs. Parnassus Endeavor Fund | Applied Finance vs. Queens Road Small |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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