Correlation Between Sumitomo Rubber and PKSHA TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both Sumitomo Rubber and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY INC, you can compare the effects of market volatilities on Sumitomo Rubber and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Rubber and PKSHA TECHNOLOGY.
Diversification Opportunities for Sumitomo Rubber and PKSHA TECHNOLOGY
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sumitomo and PKSHA is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Rubber Industries and PKSHA TECHNOLOGY INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PKSHA TECHNOLOGY INC 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 PKSHA TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PKSHA TECHNOLOGY INC has no effect on the direction of Sumitomo Rubber i.e., Sumitomo Rubber and PKSHA TECHNOLOGY go up and down completely randomly.
Pair Corralation between Sumitomo Rubber and PKSHA TECHNOLOGY
Assuming the 90 days horizon Sumitomo Rubber is expected to generate 1.66 times less return on investment than PKSHA TECHNOLOGY. But when comparing it to its historical volatility, Sumitomo Rubber Industries is 1.8 times less risky than PKSHA TECHNOLOGY. It trades about 0.31 of its potential returns per unit of risk. PKSHA TECHNOLOGY INC is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 2,120 in PKSHA TECHNOLOGY INC on September 4, 2024 and sell it today you would earn a total of 480.00 from holding PKSHA TECHNOLOGY INC or generate 22.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sumitomo Rubber Industries vs. PKSHA TECHNOLOGY INC
Performance |
| Timeline |
| Sumitomo Rubber Indu |
| PKSHA TECHNOLOGY INC |
Sumitomo Rubber and PKSHA TECHNOLOGY Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sumitomo Rubber and PKSHA TECHNOLOGY
The main advantage of trading using opposite Sumitomo Rubber and PKSHA TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Rubber position performs unexpectedly, PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY will offset losses from the drop in PKSHA TECHNOLOGY's long position.| Sumitomo Rubber vs. Zeon Corporation | Sumitomo Rubber vs. Semperit Aktiengesellschaft Holding | Sumitomo Rubber vs. PT Gajah Tunggal |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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