Correlation Between Erste Group and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Erste Group 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 Erste Group and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Erste Group Bank and Sumitomo Mitsui Trust, you can compare the effects of market volatilities on Erste Group 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 Erste Group with a short position of Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erste Group and Sumitomo Mitsui.
Diversification Opportunities for Erste Group and Sumitomo Mitsui
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Erste and Sumitomo is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Erste Group Bank and Sumitomo Mitsui Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Trust and Erste Group 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 Erste Group 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 Trust has no effect on the direction of Erste Group i.e., Erste Group and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Erste Group and Sumitomo Mitsui
Assuming the 90 days horizon Erste Group Bank is expected to generate 0.86 times more return on investment than Sumitomo Mitsui. However, Erste Group Bank is 1.17 times less risky than Sumitomo Mitsui. It trades about 0.12 of its potential returns per unit of risk. Sumitomo Mitsui Trust is currently generating about 0.02 per unit of risk. If you would invest 4,783 in Erste Group Bank on September 26, 2024 and sell it today you would earn a total of 1,312 from holding Erste Group Bank or generate 27.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Erste Group Bank vs. Sumitomo Mitsui Trust
Performance |
Timeline |
Erste Group Bank |
Sumitomo Mitsui Trust |
Erste Group and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Erste Group and Sumitomo Mitsui
The main advantage of trading using opposite Erste Group and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erste Group 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.Erste Group vs. Banco Bradesco SA | Erste Group vs. Itau Unibanco Banco | Erste Group vs. Deutsche Bank AG | Erste Group vs. Banco Santander Brasil |
Sumitomo Mitsui vs. Banco Bradesco SA | Sumitomo Mitsui vs. Itau Unibanco Banco | Sumitomo Mitsui vs. Deutsche Bank AG | Sumitomo Mitsui vs. Banco Santander Brasil |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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