Correlation Between Qinghaihuading Industrial and Agricultural Bank
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By analyzing existing cross correlation between Qinghaihuading Industrial Co and Agricultural Bank of, you can compare the effects of market volatilities on Qinghaihuading Industrial and Agricultural 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 Qinghaihuading Industrial with a short position of Agricultural Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qinghaihuading Industrial and Agricultural Bank.
Diversification Opportunities for Qinghaihuading Industrial and Agricultural Bank
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Qinghaihuading and Agricultural is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Qinghaihuading Industrial Co and Agricultural Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agricultural Bank and Qinghaihuading Industrial 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 Qinghaihuading Industrial Co are associated (or correlated) with Agricultural Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agricultural Bank has no effect on the direction of Qinghaihuading Industrial i.e., Qinghaihuading Industrial and Agricultural Bank go up and down completely randomly.
Pair Corralation between Qinghaihuading Industrial and Agricultural Bank
Assuming the 90 days trading horizon Qinghaihuading Industrial Co is expected to generate 2.48 times more return on investment than Agricultural Bank. However, Qinghaihuading Industrial is 2.48 times more volatile than Agricultural Bank of. It trades about 0.26 of its potential returns per unit of risk. Agricultural Bank of is currently generating about 0.15 per unit of risk. If you would invest 350.00 in Qinghaihuading Industrial Co on September 12, 2024 and sell it today you would earn a total of 232.00 from holding Qinghaihuading Industrial Co or generate 66.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Qinghaihuading Industrial Co vs. Agricultural Bank of
Performance |
Timeline |
Qinghaihuading Industrial |
Agricultural Bank |
Qinghaihuading Industrial and Agricultural Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qinghaihuading Industrial and Agricultural Bank
The main advantage of trading using opposite Qinghaihuading Industrial and Agricultural Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qinghaihuading Industrial position performs unexpectedly, Agricultural 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 Agricultural Bank will offset losses from the drop in Agricultural Bank's long position.Qinghaihuading Industrial vs. Agricultural Bank of | Qinghaihuading Industrial vs. Industrial and Commercial | Qinghaihuading Industrial vs. Bank of China | Qinghaihuading Industrial vs. PetroChina Co Ltd |
Agricultural Bank vs. China Petroleum Chemical | Agricultural Bank vs. PetroChina Co Ltd | Agricultural Bank vs. China Mobile Limited | Agricultural Bank vs. Industrial and Commercial |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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