Correlation Between GM and JPMorgan Quality

Can any of the company-specific risk be diversified away by investing in both GM and JPMorgan Quality 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 Quality 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 Quality Factor, you can compare the effects of market volatilities on GM and JPMorgan Quality 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 Quality. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and JPMorgan Quality.

Diversification Opportunities for GM and JPMorgan Quality

-0.22

Correlation Coefficient

GM  JPMorgan Quality

Very good diversification

The 3 months correlation between GM and JPMorgan is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and JPMorgan Quality Factor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Quality Factor 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 Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Quality Factor has no effect on the direction of GM i.e., GM and JPMorgan Quality go up and down completely randomly.

Pair Corralation between GM and JPMorgan Quality

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the JPMorgan Quality. In addition to that, GM is 3.08 times more volatile than JPMorgan Quality Factor. It trades about -0.03 of its total potential returns per unit of risk. JPMorgan Quality Factor is currently generating about -0.02 per unit of volatility. If you would invest  5,780  in JPMorgan Quality Factor on December 27, 2024 and sell it today you would lose (64.00) from holding JPMorgan Quality Factor or give up 1.11% of portfolio value over 90 days.

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

General Motors  vs.  JPMorgan Quality Factor

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

JPMorgan Quality Factor

Risk-Adjusted Performance

Very Weak

Over the last 90 days JPMorgan Quality Factor has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, JPMorgan Quality is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with GM and JPMorgan Quality

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

The idea behind General Motors and JPMorgan Quality Factor 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.