Correlation Between Malaga Financial and Ping An
Can any of the company-specific risk be diversified away by investing in both Malaga Financial 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 Malaga Financial and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Malaga Financial and Ping An Insurance, you can compare the effects of market volatilities on Malaga Financial 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 Malaga Financial with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Malaga Financial and Ping An.
Diversification Opportunities for Malaga Financial and Ping An
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Malaga and Ping is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Malaga Financial 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 Malaga Financial 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 Malaga Financial 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 Malaga Financial i.e., Malaga Financial and Ping An go up and down completely randomly.
Pair Corralation between Malaga Financial and Ping An
Given the investment horizon of 90 days Malaga Financial is expected to generate 0.34 times more return on investment than Ping An. However, Malaga Financial is 2.94 times less risky than Ping An. It trades about 0.18 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.05 per unit of risk. If you would invest 2,001 in Malaga Financial on September 4, 2025 and sell it today you would earn a total of 224.00 from holding Malaga Financial or generate 11.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Malaga Financial vs. Ping An Insurance
Performance |
| Timeline |
| Malaga Financial |
| Ping An Insurance |
Malaga Financial and Ping An Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Malaga Financial and Ping An
The main advantage of trading using opposite Malaga Financial and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Malaga Financial 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.| Malaga Financial vs. Copperbank Resources Corp | Malaga Financial vs. Teradata Corp | Malaga Financial vs. Scandinavian Tobacco Group | Malaga Financial vs. DATA Communications Management |
| Ping An vs. Origin Investment Corp | Ping An vs. Shenzhen Investment Holdings | Ping An vs. Yuexiu Transport Infrastructure | Ping An vs. Delaware Investments Florida |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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