Correlation Between NYSE Composite and Jpmorgan Global

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Jpmorgan Global 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 NYSE Composite and Jpmorgan Global into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and Jpmorgan Global Allocation, you can compare the effects of market volatilities on NYSE Composite and Jpmorgan Global 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 NYSE Composite with a short position of Jpmorgan Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Jpmorgan Global.

Diversification Opportunities for NYSE Composite and Jpmorgan Global

0.59

Correlation Coefficient

NYSE Composite  Jpmorgan Global

Very weak diversification

The 3 months correlation between NYSE and Jpmorgan is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Jpmorgan Global Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Global Allo and NYSE Composite 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 NYSE Composite are associated (or correlated) with Jpmorgan Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Global Allo has no effect on the direction of NYSE Composite i.e., NYSE Composite and Jpmorgan Global go up and down completely randomly.

Pair Corralation between NYSE Composite and Jpmorgan Global

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Jpmorgan Global. In addition to that, NYSE Composite is 1.1 times more volatile than Jpmorgan Global Allocation. It trades about -0.36 of its total potential returns per unit of risk. Jpmorgan Global Allocation is currently generating about -0.12 per unit of volatility. If you would invest  2,076  in Jpmorgan Global Allocation on September 23, 2024 and sell it today you would lose (33.00) from holding Jpmorgan Global Allocation or give up 1.59% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  Jpmorgan Global Allocation

Pair Trading with NYSE Composite and Jpmorgan Global

The main advantage of trading using opposite NYSE Composite and Jpmorgan Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Jpmorgan Global 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 Global will offset losses from the drop in Jpmorgan Global's long position.

The idea behind NYSE Composite and Jpmorgan Global Allocation 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.

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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.