Correlation Between Sumitomo Rubber and Treasury Wine
Can any of the company-specific risk be diversified away by investing in both Sumitomo Rubber and Treasury Wine 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 Rubber and Treasury Wine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Rubber Industries and Treasury Wine Estates, you can compare the effects of market volatilities on Sumitomo Rubber and Treasury Wine 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 Rubber with a short position of Treasury Wine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Rubber and Treasury Wine.
Diversification Opportunities for Sumitomo Rubber and Treasury Wine
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sumitomo and Treasury is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Rubber Industries and Treasury Wine Estates in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Treasury Wine Estates and Sumitomo Rubber 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 Rubber Industries are associated (or correlated) with Treasury Wine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Treasury Wine Estates has no effect on the direction of Sumitomo Rubber i.e., Sumitomo Rubber and Treasury Wine go up and down completely randomly.
Pair Corralation between Sumitomo Rubber and Treasury Wine
Assuming the 90 days horizon Sumitomo Rubber Industries is expected to generate 1.04 times more return on investment than Treasury Wine. However, Sumitomo Rubber is 1.04 times more volatile than Treasury Wine Estates. It trades about 0.16 of its potential returns per unit of risk. Treasury Wine Estates is currently generating about -0.19 per unit of risk. If you would invest 1,010 in Sumitomo Rubber Industries on October 30, 2024 and sell it today you would earn a total of 80.00 from holding Sumitomo Rubber Industries or generate 7.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sumitomo Rubber Industries vs. Treasury Wine Estates
Performance |
Timeline |
Sumitomo Rubber Indu |
Treasury Wine Estates |
Sumitomo Rubber and Treasury Wine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Rubber and Treasury Wine
The main advantage of trading using opposite Sumitomo Rubber and Treasury Wine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Rubber position performs unexpectedly, Treasury Wine 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 Treasury Wine will offset losses from the drop in Treasury Wine's long position.Sumitomo Rubber vs. Bridgestone | Sumitomo Rubber vs. Advanced Drainage Systems | Sumitomo Rubber vs. The Goodyear Tire | Sumitomo Rubber vs. Zeon Corporation |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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