Correlation Between GM and Ping An

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

By analyzing existing cross correlation between General Motors and Ping An Healthcare, you can compare the effects of market volatilities on GM and Ping An 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 Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Ping An.

Diversification Opportunities for GM and Ping An

0.19

Correlation Coefficient

GM  Ping An

Average diversification

The 3 months correlation between GM and Ping is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Ping An Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Healthcare 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 Ping An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ping An Healthcare has no effect on the direction of GM i.e., GM and Ping An go up and down completely randomly.

Pair Corralation between GM and Ping An

Allowing for the 90-day total investment horizon General Motors is expected to generate 0.22 times more return on investment than Ping An. However, General Motors is 4.53 times less risky than Ping An. It trades about -0.01 of its potential returns per unit of risk. Ping An Healthcare is currently generating about -0.07 per unit of risk. If you would invest  5,280  in General Motors on September 23, 2024 and sell it today you would lose (99.00) from holding General Motors or give up 1.87% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	97.73%
Values	Daily Returns

General Motors  vs.  Ping An Healthcare

General Motors

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Ping An Healthcare

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Ping An Healthcare has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Ping An is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with GM and Ping An

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

The idea behind General Motors and Ping An Healthcare 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.