Correlation Between PING AN and Prudential Plc
Can any of the company-specific risk be diversified away by investing in both PING AN and Prudential Plc 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 Prudential Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PING AN INSURANCH and Prudential plc, you can compare the effects of market volatilities on PING AN and Prudential Plc 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 Prudential Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of PING AN and Prudential Plc.
Diversification Opportunities for PING AN and Prudential Plc
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PING and Prudential is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding PING AN INSURANCH and Prudential plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prudential plc 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 INSURANCH are associated (or correlated) with Prudential Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prudential plc has no effect on the direction of PING AN i.e., PING AN and Prudential Plc go up and down completely randomly.
Pair Corralation between PING AN and Prudential Plc
Assuming the 90 days trading horizon PING AN INSURANCH is expected to generate 1.28 times more return on investment than Prudential Plc. However, PING AN is 1.28 times more volatile than Prudential plc. It trades about 0.12 of its potential returns per unit of risk. Prudential plc is currently generating about 0.11 per unit of risk. If you would invest 972.00 in PING AN INSURANCH on April 24, 2025 and sell it today you would earn a total of 158.00 from holding PING AN INSURANCH or generate 16.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PING AN INSURANCH vs. Prudential plc
Performance |
Timeline |
PING AN INSURANCH |
Prudential plc |
PING AN and Prudential Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PING AN and Prudential Plc
The main advantage of trading using opposite PING AN and Prudential Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PING AN position performs unexpectedly, Prudential Plc 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 Prudential Plc will offset losses from the drop in Prudential Plc's long position.PING AN vs. Universal Health Realty | PING AN vs. DICKS Sporting Goods | PING AN vs. USWE SPORTS AB | PING AN vs. Phibro Animal Health |
Prudential Plc vs. Ping An Insurance | Prudential Plc vs. AIA Group Limited | Prudential Plc vs. China Life Insurance | Prudential Plc vs. MetLife |
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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |