Correlation Between Sumitomo Mitsui and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Sumitomo Mitsui and Automatic Data 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 Sumitomo Mitsui and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Mitsui Financial and Automatic Data Processing, you can compare the effects of market volatilities on Sumitomo Mitsui and Automatic Data 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 Sumitomo Mitsui with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Mitsui and Automatic Data.
Diversification Opportunities for Sumitomo Mitsui and Automatic Data
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sumitomo and Automatic is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Mitsui Financial and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and Sumitomo Mitsui 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 Sumitomo Mitsui Financial are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of Sumitomo Mitsui i.e., Sumitomo Mitsui and Automatic Data go up and down completely randomly.
Pair Corralation between Sumitomo Mitsui and Automatic Data
Assuming the 90 days trading horizon Sumitomo Mitsui Financial is expected to generate 0.83 times more return on investment than Automatic Data. However, Sumitomo Mitsui Financial is 1.21 times less risky than Automatic Data. It trades about 0.07 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.0 per unit of risk. If you would invest 7,680 in Sumitomo Mitsui Financial on April 20, 2025 and sell it today you would earn a total of 416.00 from holding Sumitomo Mitsui Financial or generate 5.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sumitomo Mitsui Financial vs. Automatic Data Processing
Performance |
Timeline |
Sumitomo Mitsui Financial |
Automatic Data Processing |
Sumitomo Mitsui and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Mitsui and Automatic Data
The main advantage of trading using opposite Sumitomo Mitsui and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Mitsui position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.Sumitomo Mitsui vs. Mitsubishi UFJ Financial | Sumitomo Mitsui vs. Banco Santander SA | Sumitomo Mitsui vs. Banco BTG Pactual | Sumitomo Mitsui vs. Take Two Interactive Software |
Automatic Data vs. Micron Technology | Automatic Data vs. Lumen Technologies, | Automatic Data vs. Marfrig Global Foods | Automatic Data vs. Barclays PLC |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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