Correlation Between Sumitomo Rubber and Tradegate
Can any of the company-specific risk be diversified away by investing in both Sumitomo Rubber and Tradegate 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 Tradegate 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 Tradegate AG Wertpapierhandelsbank, you can compare the effects of market volatilities on Sumitomo Rubber and Tradegate 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 Tradegate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Rubber and Tradegate.
Diversification Opportunities for Sumitomo Rubber and Tradegate
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sumitomo and Tradegate is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Rubber Industries and Tradegate AG Wertpapierhandels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tradegate AG Wertpap 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 Tradegate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tradegate AG Wertpap has no effect on the direction of Sumitomo Rubber i.e., Sumitomo Rubber and Tradegate go up and down completely randomly.
Pair Corralation between Sumitomo Rubber and Tradegate
Assuming the 90 days horizon Sumitomo Rubber Industries is expected to generate 3.21 times more return on investment than Tradegate. However, Sumitomo Rubber is 3.21 times more volatile than Tradegate AG Wertpapierhandelsbank. It trades about 0.04 of its potential returns per unit of risk. Tradegate AG Wertpapierhandelsbank is currently generating about -0.12 per unit of risk. If you would invest 1,090 in Sumitomo Rubber Industries on November 2, 2024 and sell it today you would earn a total of 10.00 from holding Sumitomo Rubber Industries or generate 0.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sumitomo Rubber Industries vs. Tradegate AG Wertpapierhandels
Performance |
| Timeline |
| Sumitomo Rubber Indu |
| Tradegate AG Wertpap |
Sumitomo Rubber and Tradegate Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sumitomo Rubber and Tradegate
The main advantage of trading using opposite Sumitomo Rubber and Tradegate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Rubber position performs unexpectedly, Tradegate 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 Tradegate will offset losses from the drop in Tradegate's long position.| Sumitomo Rubber vs. OFFICE DEPOT | Sumitomo Rubber vs. Firan Technology Group | Sumitomo Rubber vs. CENTURIA OFFICE REIT | Sumitomo Rubber vs. American Homes 4 |
| Tradegate vs. TYSON FOODS A | Tradegate vs. SOEDER SPORTFISKE AB | Tradegate vs. Austevoll Seafood ASA | Tradegate vs. IMPERIAL TOBACCO |
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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