Correlation Between Ping An and Cars

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

By analyzing existing cross correlation between Ping An Insurance and Cars Inc, you can compare the effects of market volatilities on Ping An and Cars 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 Ping An with a short position of Cars. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and Cars.

Diversification Opportunities for Ping An and Cars

-0.05

Correlation Coefficient

Ping An  Cars

Good diversification

The 3 months correlation between Ping and Cars is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Cars Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cars Inc and Ping An 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 Ping An Insurance are associated (or correlated) with Cars. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cars Inc has no effect on the direction of Ping An i.e., Ping An and Cars go up and down completely randomly.

Pair Corralation between Ping An and Cars

Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.6 times more return on investment than Cars. However, Ping An Insurance is 1.66 times less risky than Cars. It trades about 0.0 of its potential returns per unit of risk. Cars Inc is currently generating about -0.16 per unit of risk. If you would invest  558.00  in Ping An Insurance on December 4, 2024 and sell it today you would lose (7.00) from holding Ping An Insurance or give up 1.25% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.33%
Values	Daily Returns

Ping An Insurance  vs.  Cars Inc

Ping An Insurance

Risk-Adjusted Performance

Very Weak

Over the last 90 days Ping An Insurance has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Ping An is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Cars Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days Cars Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Pair Trading with Ping An and Cars

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

The idea behind Ping An Insurance and Cars Inc 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.