Correlation Between Sumitomo Mitsui and Tecsys
Can any of the company-specific risk be diversified away by investing in both Sumitomo Mitsui and Tecsys 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 Tecsys 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 Tecsys Inc, you can compare the effects of market volatilities on Sumitomo Mitsui and Tecsys 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 Tecsys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Mitsui and Tecsys.
Diversification Opportunities for Sumitomo Mitsui and Tecsys
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sumitomo and Tecsys is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Mitsui Financial and Tecsys Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tecsys Inc 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 Tecsys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tecsys Inc has no effect on the direction of Sumitomo Mitsui i.e., Sumitomo Mitsui and Tecsys go up and down completely randomly.
Pair Corralation between Sumitomo Mitsui and Tecsys
Given the investment horizon of 90 days Sumitomo Mitsui Financial is expected to generate 1.28 times more return on investment than Tecsys. However, Sumitomo Mitsui is 1.28 times more volatile than Tecsys Inc. It trades about 0.14 of its potential returns per unit of risk. Tecsys Inc is currently generating about 0.07 per unit of risk. If you would invest 1,277 in Sumitomo Mitsui Financial on October 21, 2024 and sell it today you would earn a total of 192.00 from holding Sumitomo Mitsui Financial or generate 15.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.38% |
Values | Daily Returns |
Sumitomo Mitsui Financial vs. Tecsys Inc
Performance |
Timeline |
Sumitomo Mitsui Financial |
Tecsys Inc |
Sumitomo Mitsui and Tecsys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Mitsui and Tecsys
The main advantage of trading using opposite Sumitomo Mitsui and Tecsys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Mitsui position performs unexpectedly, Tecsys 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 Tecsys will offset losses from the drop in Tecsys' long position.Sumitomo Mitsui vs. Barclays PLC ADR | Sumitomo Mitsui vs. Mitsubishi UFJ Financial | Sumitomo Mitsui vs. ING Group NV | Sumitomo Mitsui vs. HSBC Holdings PLC |
Tecsys vs. NRx Pharmaceuticals | Tecsys vs. RenovaCare | Tecsys vs. Aerovate Therapeutics | Tecsys vs. Akari Therapeutics 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 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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