Correlation Between Tokai Carbon and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Tokai Carbon and Dow Jones 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 Tokai Carbon and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tokai Carbon Korea and Dow Jones Industrial, you can compare the effects of market volatilities on Tokai Carbon and Dow Jones 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 Tokai Carbon with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tokai Carbon and Dow Jones.
Diversification Opportunities for Tokai Carbon and Dow Jones
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Tokai and Dow is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Tokai Carbon Korea and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Tokai Carbon 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 Tokai Carbon Korea are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Tokai Carbon i.e., Tokai Carbon and Dow Jones go up and down completely randomly.
Pair Corralation between Tokai Carbon and Dow Jones
Assuming the 90 days trading horizon Tokai Carbon Korea is expected to under-perform the Dow Jones. In addition to that, Tokai Carbon is 3.78 times more volatile than Dow Jones Industrial. It trades about -0.14 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of volatility. If you would invest 3,868,632 in Dow Jones Industrial on August 29, 2024 and sell it today you would earn a total of 603,574 from holding Dow Jones Industrial or generate 15.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 96.03% |
| Values | Daily Returns |
Tokai Carbon Korea vs. Dow Jones Industrial
Performance |
| Timeline |
Tokai Carbon and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Tokai Carbon Korea
Pair trading matchups for Tokai Carbon
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Tokai Carbon and Dow Jones
The main advantage of trading using opposite Tokai Carbon and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tokai Carbon position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Tokai Carbon vs. SK Hynix | Tokai Carbon vs. LX Semicon Co | Tokai Carbon vs. People Technology | Tokai Carbon vs. Hana Materials |
| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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