Correlation Between Sumitomo Chemical and SEKISUI CHEMICAL
Can any of the company-specific risk be diversified away by investing in both Sumitomo Chemical and SEKISUI CHEMICAL 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 Chemical and SEKISUI CHEMICAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Chemical and SEKISUI CHEMICAL, you can compare the effects of market volatilities on Sumitomo Chemical and SEKISUI CHEMICAL 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 Chemical with a short position of SEKISUI CHEMICAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Chemical and SEKISUI CHEMICAL.
Diversification Opportunities for Sumitomo Chemical and SEKISUI CHEMICAL
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sumitomo and SEKISUI is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Chemical and SEKISUI CHEMICAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEKISUI CHEMICAL and Sumitomo Chemical 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 Chemical are associated (or correlated) with SEKISUI CHEMICAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEKISUI CHEMICAL has no effect on the direction of Sumitomo Chemical i.e., Sumitomo Chemical and SEKISUI CHEMICAL go up and down completely randomly.
Pair Corralation between Sumitomo Chemical and SEKISUI CHEMICAL
Assuming the 90 days horizon Sumitomo Chemical is expected to generate 1.42 times more return on investment than SEKISUI CHEMICAL. However, Sumitomo Chemical is 1.42 times more volatile than SEKISUI CHEMICAL. It trades about 0.07 of its potential returns per unit of risk. SEKISUI CHEMICAL is currently generating about -0.04 per unit of risk. If you would invest 197.00 in Sumitomo Chemical on April 21, 2025 and sell it today you would earn a total of 13.00 from holding Sumitomo Chemical or generate 6.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sumitomo Chemical vs. SEKISUI CHEMICAL
Performance |
Timeline |
Sumitomo Chemical |
SEKISUI CHEMICAL |
Sumitomo Chemical and SEKISUI CHEMICAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Chemical and SEKISUI CHEMICAL
The main advantage of trading using opposite Sumitomo Chemical and SEKISUI CHEMICAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Chemical position performs unexpectedly, SEKISUI CHEMICAL 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 SEKISUI CHEMICAL will offset losses from the drop in SEKISUI CHEMICAL's long position.Sumitomo Chemical vs. Molson Coors Beverage | Sumitomo Chemical vs. The Boston Beer | Sumitomo Chemical vs. PennantPark Investment | Sumitomo Chemical vs. Monster Beverage Corp |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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