Correlation Between Agricultural Bank and Suzhou Industrial
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By analyzing existing cross correlation between Agricultural Bank of and Suzhou Industrial Park, you can compare the effects of market volatilities on Agricultural Bank and Suzhou Industrial 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 Agricultural Bank with a short position of Suzhou Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agricultural Bank and Suzhou Industrial.
Diversification Opportunities for Agricultural Bank and Suzhou Industrial
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Agricultural and Suzhou is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Agricultural Bank of and Suzhou Industrial Park in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Suzhou Industrial Park and Agricultural Bank 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 Agricultural Bank of are associated (or correlated) with Suzhou Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Suzhou Industrial Park has no effect on the direction of Agricultural Bank i.e., Agricultural Bank and Suzhou Industrial go up and down completely randomly.
Pair Corralation between Agricultural Bank and Suzhou Industrial
Assuming the 90 days trading horizon Agricultural Bank of is expected to generate 0.25 times more return on investment than Suzhou Industrial. However, Agricultural Bank of is 4.06 times less risky than Suzhou Industrial. It trades about 0.08 of its potential returns per unit of risk. Suzhou Industrial Park is currently generating about -0.15 per unit of risk. If you would invest 508.00 in Agricultural Bank of on November 7, 2024 and sell it today you would earn a total of 8.00 from holding Agricultural Bank of or generate 1.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Agricultural Bank of vs. Suzhou Industrial Park
Performance |
| Timeline |
| Agricultural Bank |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
| Suzhou Industrial Park |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Agricultural Bank and Suzhou Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Agricultural Bank and Suzhou Industrial
The main advantage of trading using opposite Agricultural Bank and Suzhou Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agricultural Bank position performs unexpectedly, Suzhou Industrial 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 Suzhou Industrial will offset losses from the drop in Suzhou Industrial's long position.The idea behind Agricultural Bank of and Suzhou Industrial Park pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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