Correlation Between Ping An and Shanghai Zhangjiang
Specify exactly 2 symbols:
By analyzing existing cross correlation between Ping An Insurance and Shanghai Zhangjiang Hi Tech, you can compare the effects of market volatilities on Ping An and Shanghai Zhangjiang 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 Shanghai Zhangjiang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and Shanghai Zhangjiang.
Diversification Opportunities for Ping An and Shanghai Zhangjiang
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ping and Shanghai is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Shanghai Zhangjiang Hi Tech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai Zhangjiang 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 Shanghai Zhangjiang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai Zhangjiang has no effect on the direction of Ping An i.e., Ping An and Shanghai Zhangjiang go up and down completely randomly.
Pair Corralation between Ping An and Shanghai Zhangjiang
Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.58 times more return on investment than Shanghai Zhangjiang. However, Ping An Insurance is 1.73 times less risky than Shanghai Zhangjiang. It trades about -0.02 of its potential returns per unit of risk. Shanghai Zhangjiang Hi Tech is currently generating about -0.02 per unit of risk. If you would invest 5,303 in Ping An Insurance on September 23, 2024 and sell it today you would lose (41.00) from holding Ping An Insurance or give up 0.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ping An Insurance vs. Shanghai Zhangjiang Hi Tech
Performance |
Timeline |
Ping An Insurance |
Shanghai Zhangjiang |
Ping An and Shanghai Zhangjiang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and Shanghai Zhangjiang
The main advantage of trading using opposite Ping An and Shanghai Zhangjiang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, Shanghai Zhangjiang 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 Shanghai Zhangjiang will offset losses from the drop in Shanghai Zhangjiang's long position.Ping An vs. BYD Co Ltd | Ping An vs. China Mobile Limited | Ping An vs. Agricultural Bank of | Ping An vs. Industrial and Commercial |
Shanghai Zhangjiang vs. PetroChina Co Ltd | Shanghai Zhangjiang vs. China Mobile Limited | Shanghai Zhangjiang vs. CNOOC Limited | Shanghai Zhangjiang vs. Ping An Insurance |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum |