Correlation Between Dow Jones and Shih Kuen
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Shih Kuen 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 Dow Jones and Shih Kuen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Shih Kuen Plastics, you can compare the effects of market volatilities on Dow Jones and Shih Kuen 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 Dow Jones with a short position of Shih Kuen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Shih Kuen.
Diversification Opportunities for Dow Jones and Shih Kuen
Very good diversification
The 3 months correlation between Dow and Shih is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Shih Kuen Plastics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shih Kuen Plastics and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Shih Kuen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shih Kuen Plastics has no effect on the direction of Dow Jones i.e., Dow Jones and Shih Kuen go up and down completely randomly.
Pair Corralation between Dow Jones and Shih Kuen
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.76 times more return on investment than Shih Kuen. However, Dow Jones Industrial is 1.31 times less risky than Shih Kuen. It trades about 0.24 of its potential returns per unit of risk. Shih Kuen Plastics is currently generating about -0.19 per unit of risk. If you would invest 4,211,440 in Dow Jones Industrial on August 26, 2024 and sell it today you would earn a total of 218,211 from holding Dow Jones Industrial or generate 5.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. Shih Kuen Plastics
Performance |
| Timeline |
Dow Jones and Shih Kuen Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Shih Kuen Plastics
Pair trading matchups for Shih Kuen
Pair Trading with Dow Jones and Shih Kuen
The main advantage of trading using opposite Dow Jones and Shih Kuen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Shih Kuen 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 Shih Kuen will offset losses from the drop in Shih Kuen's long position.| Dow Jones vs. MI Homes | Dow Jones vs. Franklin Street Properties | Dow Jones vs. Summit Hotel Properties | Dow Jones vs. Portillos |
| Shih Kuen vs. SS Healthcare Holding | Shih Kuen vs. Power Wind Health | Shih Kuen vs. Pacific Hospital Supply | Shih Kuen vs. Davicom Semiconductor |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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