Correlation Between Maoming Petro and Qilu Bank
Specify exactly 2 symbols:
By analyzing existing cross correlation between Maoming Petro Chemical Shihua and Qilu Bank Co, you can compare the effects of market volatilities on Maoming Petro and Qilu Bank 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 Maoming Petro with a short position of Qilu Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maoming Petro and Qilu Bank.
Diversification Opportunities for Maoming Petro and Qilu Bank
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Maoming and Qilu is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Maoming Petro Chemical Shihua and Qilu Bank Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qilu Bank and Maoming Petro 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 Maoming Petro Chemical Shihua are associated (or correlated) with Qilu Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qilu Bank has no effect on the direction of Maoming Petro i.e., Maoming Petro and Qilu Bank go up and down completely randomly.
Pair Corralation between Maoming Petro and Qilu Bank
Assuming the 90 days trading horizon Maoming Petro Chemical Shihua is expected to generate 1.42 times more return on investment than Qilu Bank. However, Maoming Petro is 1.42 times more volatile than Qilu Bank Co. It trades about 0.16 of its potential returns per unit of risk. Qilu Bank Co is currently generating about 0.03 per unit of risk. If you would invest 400.00 in Maoming Petro Chemical Shihua on September 15, 2024 and sell it today you would earn a total of 25.00 from holding Maoming Petro Chemical Shihua or generate 6.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maoming Petro Chemical Shihua vs. Qilu Bank Co
Performance |
Timeline |
Maoming Petro Chemical |
Qilu Bank |
Maoming Petro and Qilu Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maoming Petro and Qilu Bank
The main advantage of trading using opposite Maoming Petro and Qilu Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maoming Petro position performs unexpectedly, Qilu Bank 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 Qilu Bank will offset losses from the drop in Qilu Bank's long position.Maoming Petro vs. Jilin Chemical Fibre | Maoming Petro vs. Metallurgical of | Maoming Petro vs. Beijing HuaYuanYiTong Thermal | Maoming Petro vs. Xinxiang Chemical Fiber |
Qilu Bank vs. Anji Foodstuff Co | Qilu Bank vs. Jiajia Food Group | Qilu Bank vs. Jahen Household Products | Qilu Bank vs. Yindu Kitchen Equipment |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |