Correlation Between Ping An and ACM Research

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

Diversification Opportunities for Ping An and ACM Research

0.86

Correlation Coefficient

Ping An  ACM Research

Very poor diversification

The 3 months correlation between Ping and ACM is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and ACM Research Shanghai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ACM Research Shanghai 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 ACM Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ACM Research Shanghai has no effect on the direction of Ping An i.e., Ping An and ACM Research go up and down completely randomly.

Pair Corralation between Ping An and ACM Research

Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.67 times more return on investment than ACM Research. However, Ping An Insurance is 1.49 times less risky than ACM Research. It trades about -0.02 of its potential returns per unit of risk. ACM Research Shanghai is currently generating about -0.12 per unit of risk. If you would invest  5,303  in Ping An Insurance on September 23, 2024 and sell it today you would lose (41.00) from holding Ping An Insurance or give up 0.77% of portfolio value over 90 days.

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

Ping An Insurance  vs.  ACM Research Shanghai

Ping An Insurance

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Ping An Insurance are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Ping An sustained solid returns over the last few months and may actually be approaching a breakup point.

ACM Research Shanghai

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in ACM Research Shanghai are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, ACM Research sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Ping An and ACM Research

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

The idea behind Ping An Insurance and ACM Research Shanghai 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.

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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.