Correlation Between Agricultural Bank and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Agricultural Bank and Sumitomo Mitsui at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Agricultural Bank and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agricultural Bank and Sumitomo Mitsui Financial, you can compare the effects of market volatilities on Agricultural Bank and Sumitomo Mitsui 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 Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agricultural Bank and Sumitomo Mitsui.
Diversification Opportunities for Agricultural Bank and Sumitomo Mitsui
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Agricultural and Sumitomo is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Agricultural Bank and Sumitomo Mitsui Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Financial 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 are associated (or correlated) with Sumitomo Mitsui. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Mitsui Financial has no effect on the direction of Agricultural Bank i.e., Agricultural Bank and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Agricultural Bank and Sumitomo Mitsui
Assuming the 90 days horizon Agricultural Bank is expected to generate 6.01 times less return on investment than Sumitomo Mitsui. But when comparing it to its historical volatility, Agricultural Bank is 2.18 times less risky than Sumitomo Mitsui. It trades about 0.03 of its potential returns per unit of risk. Sumitomo Mitsui Financial is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,216 in Sumitomo Mitsui Financial on October 6, 2024 and sell it today you would earn a total of 296.00 from holding Sumitomo Mitsui Financial or generate 13.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.56% |
Values | Daily Returns |
Agricultural Bank vs. Sumitomo Mitsui Financial
Performance |
Timeline |
Agricultural Bank |
Sumitomo Mitsui Financial |
Agricultural Bank and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agricultural Bank and Sumitomo Mitsui
The main advantage of trading using opposite Agricultural Bank and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agricultural Bank position performs unexpectedly, Sumitomo Mitsui 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 Sumitomo Mitsui will offset losses from the drop in Sumitomo Mitsui's long position.Agricultural Bank vs. China Construction Bank | Agricultural Bank vs. National Australia Bank | Agricultural Bank vs. Svenska Handelsbanken AB | Agricultural Bank vs. Bank of America |
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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.
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