Correlation Between Shin Etsu and Skandinaviska Enskilda
Can any of the company-specific risk be diversified away by investing in both Shin Etsu and Skandinaviska Enskilda 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 Shin Etsu and Skandinaviska Enskilda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shin Etsu Chemical Co and Skandinaviska Enskilda Banken, you can compare the effects of market volatilities on Shin Etsu and Skandinaviska Enskilda 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 Shin Etsu with a short position of Skandinaviska Enskilda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Etsu and Skandinaviska Enskilda.
Diversification Opportunities for Shin Etsu and Skandinaviska Enskilda
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shin and Skandinaviska is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Shin Etsu Chemical Co and Skandinaviska Enskilda Banken in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Skandinaviska Enskilda and Shin Etsu 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 Shin Etsu Chemical Co are associated (or correlated) with Skandinaviska Enskilda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Skandinaviska Enskilda has no effect on the direction of Shin Etsu i.e., Shin Etsu and Skandinaviska Enskilda go up and down completely randomly.
Pair Corralation between Shin Etsu and Skandinaviska Enskilda
Assuming the 90 days horizon Shin Etsu Chemical Co is expected to under-perform the Skandinaviska Enskilda. In addition to that, Shin Etsu is 1.37 times more volatile than Skandinaviska Enskilda Banken. It trades about -0.02 of its total potential returns per unit of risk. Skandinaviska Enskilda Banken is currently generating about 0.08 per unit of volatility. If you would invest 1,319 in Skandinaviska Enskilda Banken on September 12, 2024 and sell it today you would earn a total of 27.00 from holding Skandinaviska Enskilda Banken or generate 2.05% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Shin Etsu Chemical Co vs. Skandinaviska Enskilda Banken
Performance |
| Timeline |
| Shin Etsu Chemical |
| Skandinaviska Enskilda |
Shin Etsu and Skandinaviska Enskilda Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Shin Etsu and Skandinaviska Enskilda
The main advantage of trading using opposite Shin Etsu and Skandinaviska Enskilda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Etsu position performs unexpectedly, Skandinaviska Enskilda 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 Skandinaviska Enskilda will offset losses from the drop in Skandinaviska Enskilda's long position.| Shin Etsu vs. AIR LIQUIDE ADR | Shin Etsu vs. Ganfeng Lithium Co | Shin Etsu vs. Superior Plus Corp | Shin Etsu vs. SIVERS SEMICONDUCTORS AB |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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