Correlation Between Qilu Bank and Ping An

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

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

Diversification Opportunities for Qilu Bank and Ping An

0.95

Correlation Coefficient

Qilu Bank  Ping An

Almost no diversification

The 3 months correlation between Qilu and Ping is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Qilu Bank Co and Ping An Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Insurance and Qilu Bank 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 Qilu Bank Co 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 Insurance has no effect on the direction of Qilu Bank i.e., Qilu Bank and Ping An go up and down completely randomly.

Pair Corralation between Qilu Bank and Ping An

Assuming the 90 days trading horizon Qilu Bank Co is expected to generate 0.88 times more return on investment than Ping An. However, Qilu Bank Co is 1.14 times less risky than Ping An. It trades about 0.05 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.03 per unit of risk. If you would invest  380.00  in Qilu Bank Co on September 20, 2024 and sell it today you would earn a total of  153.00  from holding Qilu Bank Co or generate 40.26% return on investment over 90 days.

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

Qilu Bank Co  vs.  Ping An Insurance

Qilu Bank

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Qilu Bank Co are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Qilu Bank sustained solid returns over the last few months and may actually be approaching a breakup point.

Ping An Insurance

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Ping An Insurance are ranked lower than 9 (%) 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.

Pair Trading with Qilu Bank and Ping An

The main advantage of trading using opposite Qilu Bank and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qilu Bank 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 Qilu Bank Co and Ping An Insurance 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.