Correlation Between GM and Jpmorgan Short
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and Jpmorgan Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Jpmorgan Short Duration, you can compare the effects of market volatilities on GM 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 GM with a short position of Jpmorgan Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Jpmorgan Short.
Diversification Opportunities for GM and Jpmorgan Short
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Jpmorgan is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding General Motors 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 GM 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 General Motors 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 GM i.e., GM and Jpmorgan Short go up and down completely randomly.
Pair Corralation between GM and Jpmorgan Short
Allowing for the 90-day total investment horizon General Motors is expected to generate 16.11 times more return on investment than Jpmorgan Short. However, GM is 16.11 times more volatile than Jpmorgan Short Duration. It trades about 0.05 of its potential returns per unit of risk. Jpmorgan Short Duration is currently generating about 0.16 per unit of risk. If you would invest 4,718 in General Motors on September 15, 2024 and sell it today you would earn a total of 535.00 from holding General Motors or generate 11.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Jpmorgan Short Duration
Performance |
Timeline |
General Motors |
Jpmorgan Short Duration |
GM and Jpmorgan Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Jpmorgan Short
The main advantage of trading using opposite GM and Jpmorgan Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and Jpmorgan Short Duration pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Jpmorgan Short vs. Jpmorgan Smartretirement 2035 | Jpmorgan Short vs. Jpmorgan Smartretirement 2035 | Jpmorgan Short vs. Jpmorgan Smartretirement 2035 | Jpmorgan Short vs. Jpmorgan Smartretirement 2035 |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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