Correlation Between Ping An and MetLife
Can any of the company-specific risk be diversified away by investing in both Ping An and MetLife 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 MetLife 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 MetLife, you can compare the effects of market volatilities on Ping An and MetLife 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 MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and MetLife.
Diversification Opportunities for Ping An and MetLife
Very weak diversification
The 3 months correlation between Ping and MetLife is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife 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 MetLife. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MetLife has no effect on the direction of Ping An i.e., Ping An and MetLife go up and down completely randomly.
Pair Corralation between Ping An and MetLife
Assuming the 90 days horizon Ping An Insurance is expected to generate 3.5 times more return on investment than MetLife. However, Ping An is 3.5 times more volatile than MetLife. It trades about 0.03 of its potential returns per unit of risk. MetLife is currently generating about 0.03 per unit of risk. If you would invest 557.00 in Ping An Insurance on September 14, 2024 and sell it today you would earn a total of 35.00 from holding Ping An Insurance or generate 6.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 83.84% |
Values | Daily Returns |
Ping An Insurance vs. MetLife
Performance |
Timeline |
Ping An Insurance |
MetLife |
Ping An and MetLife Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and MetLife
The main advantage of trading using opposite Ping An and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.Ping An vs. AIA Group Ltd | Ping An vs. China Life Insurance | Ping An vs. Sanlam Ltd PK | Ping An vs. Lincoln National |
MetLife vs. Brighthouse Financial | MetLife vs. Prudential PLC ADR | MetLife vs. MetLife Preferred Stock | MetLife vs. Brighthouse Financial |
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
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |