Correlation Between Jinhui Mining and Ping An
Specify exactly 2 symbols:
By analyzing existing cross correlation between Jinhui Mining Co and Ping An Insurance, you can compare the effects of market volatilities on Jinhui Mining 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 Jinhui Mining with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jinhui Mining and Ping An.
Diversification Opportunities for Jinhui Mining and Ping An
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jinhui and Ping is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Jinhui Mining Co 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 Jinhui Mining 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 Jinhui Mining Co 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 Jinhui Mining i.e., Jinhui Mining and Ping An go up and down completely randomly.
Pair Corralation between Jinhui Mining and Ping An
Assuming the 90 days trading horizon Jinhui Mining Co is expected to under-perform the Ping An. But the stock apears to be less risky and, when comparing its historical volatility, Jinhui Mining Co is 1.21 times less risky than Ping An. The stock trades about -0.07 of its potential returns per unit of risk. The Ping An Insurance is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 5,709 in Ping An Insurance on September 29, 2024 and sell it today you would lose (382.00) from holding Ping An Insurance or give up 6.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jinhui Mining Co vs. Ping An Insurance
Performance |
Timeline |
Jinhui Mining |
Ping An Insurance |
Jinhui Mining and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jinhui Mining and Ping An
The main advantage of trading using opposite Jinhui Mining and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jinhui Mining 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.Jinhui Mining vs. Dongjiang Environmental Co | Jinhui Mining vs. Penyao Environmental Protection | Jinhui Mining vs. Xinjiang Communications Construction | Jinhui Mining vs. Anyang Iron Steel |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Share Portfolio Track or share privately all of your investments from the convenience of any device |