Correlation Between Sany Heavy and Ping An
Specify exactly 2 symbols:
By analyzing existing cross correlation between Sany Heavy Energy and Ping An Insurance, you can compare the effects of market volatilities on Sany Heavy 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 Sany Heavy with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sany Heavy and Ping An.
Diversification Opportunities for Sany Heavy and Ping An
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sany and Ping is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Sany Heavy Energy 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 Sany Heavy 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 Sany Heavy Energy 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 Sany Heavy i.e., Sany Heavy and Ping An go up and down completely randomly.
Pair Corralation between Sany Heavy and Ping An
Assuming the 90 days trading horizon Sany Heavy Energy is expected to generate 1.29 times more return on investment than Ping An. However, Sany Heavy is 1.29 times more volatile than Ping An Insurance. It trades about 0.06 of its potential returns per unit of risk. Ping An Insurance is currently generating about -0.04 per unit of risk. If you would invest 2,885 in Sany Heavy Energy on September 29, 2024 and sell it today you would earn a total of 259.00 from holding Sany Heavy Energy or generate 8.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sany Heavy Energy vs. Ping An Insurance
Performance |
Timeline |
Sany Heavy Energy |
Ping An Insurance |
Sany Heavy and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sany Heavy and Ping An
The main advantage of trading using opposite Sany Heavy and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sany Heavy 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.Sany Heavy vs. Ping An Insurance | Sany Heavy vs. Shenwu Energy Saving | Sany Heavy vs. Blue Sail Medical | Sany Heavy vs. Xiangyu Medical Co |
Ping An vs. Kweichow Moutai Co | Ping An vs. Shenzhen Mindray Bio Medical | Ping An vs. Jiangsu Pacific Quartz | Ping An vs. G bits Network Technology |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Commodity Directory Find actively traded commodities issued by global exchanges |