Correlation Between QBE Insurance and Ping An
Can any of the company-specific risk be diversified away by investing in both QBE Insurance 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 QBE Insurance and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QBE Insurance Group and Ping An Insurance, you can compare the effects of market volatilities on QBE Insurance 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 QBE Insurance with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and Ping An.
Diversification Opportunities for QBE Insurance and Ping An
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between QBE and Ping is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group 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 QBE Insurance 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 QBE Insurance Group 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 QBE Insurance i.e., QBE Insurance and Ping An go up and down completely randomly.
Pair Corralation between QBE Insurance and Ping An
Assuming the 90 days horizon QBE Insurance is expected to generate 3.01 times less return on investment than Ping An. But when comparing it to its historical volatility, QBE Insurance Group is 2.46 times less risky than Ping An. It trades about 0.06 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 179.00 in Ping An Insurance on September 17, 2024 and sell it today you would earn a total of 387.00 from holding Ping An Insurance or generate 216.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
QBE Insurance Group vs. Ping An Insurance
Performance |
Timeline |
QBE Insurance Group |
Ping An Insurance |
QBE Insurance and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QBE Insurance and Ping An
The main advantage of trading using opposite QBE Insurance and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE Insurance 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.QBE Insurance vs. Insurance Australia Group | QBE Insurance vs. Superior Plus Corp | QBE Insurance vs. SIVERS SEMICONDUCTORS AB | QBE Insurance vs. CHINA HUARONG ENERHD 50 |
Ping An vs. EAST SIDE GAMES | Ping An vs. PLAYMATES TOYS | Ping An vs. International Game Technology | Ping An vs. QUEEN S ROAD |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Money Managers Screen money managers from public funds and ETFs managed around the world |