Correlation Between Sekisui Chemical and Getty Realty
Can any of the company-specific risk be diversified away by investing in both Sekisui Chemical and Getty Realty 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 Sekisui Chemical and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sekisui Chemical Co and Getty Realty, you can compare the effects of market volatilities on Sekisui Chemical and Getty Realty 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 Sekisui Chemical with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sekisui Chemical and Getty Realty.
Diversification Opportunities for Sekisui Chemical and Getty Realty
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sekisui and Getty is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Sekisui Chemical Co and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Sekisui 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 Sekisui Chemical Co are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of Sekisui Chemical i.e., Sekisui Chemical and Getty Realty go up and down completely randomly.
Pair Corralation between Sekisui Chemical and Getty Realty
Assuming the 90 days horizon Sekisui Chemical Co is expected to generate 0.81 times more return on investment than Getty Realty. However, Sekisui Chemical Co is 1.24 times less risky than Getty Realty. It trades about 0.06 of its potential returns per unit of risk. Getty Realty is currently generating about 0.0 per unit of risk. If you would invest 1,423 in Sekisui Chemical Co on October 24, 2024 and sell it today you would earn a total of 349.00 from holding Sekisui Chemical Co or generate 24.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.74% |
Values | Daily Returns |
Sekisui Chemical Co vs. Getty Realty
Performance |
Timeline |
Sekisui Chemical |
Getty Realty |
Sekisui Chemical and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sekisui Chemical and Getty Realty
The main advantage of trading using opposite Sekisui Chemical and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sekisui Chemical position performs unexpectedly, Getty Realty 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 Getty Realty will offset losses from the drop in Getty Realty's long position.Sekisui Chemical vs. Saia Inc | Sekisui Chemical vs. Academy Sports Outdoors | Sekisui Chemical vs. National Beverage Corp | Sekisui Chemical vs. Delek Logistics Partners |
Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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