Correlation Between Batu Kawan and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Batu Kawan 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 Batu Kawan and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Batu Kawan Bhd and Dow Jones Industrial, you can compare the effects of market volatilities on Batu Kawan 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 Batu Kawan with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Batu Kawan and Dow Jones.
Diversification Opportunities for Batu Kawan and Dow Jones
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Batu and Dow is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Batu Kawan Bhd 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 Batu Kawan 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 Batu Kawan Bhd 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 Batu Kawan i.e., Batu Kawan and Dow Jones go up and down completely randomly.
Pair Corralation between Batu Kawan and Dow Jones
Assuming the 90 days trading horizon Batu Kawan is expected to generate 6.29 times less return on investment than Dow Jones. But when comparing it to its historical volatility, Batu Kawan Bhd is 1.69 times less risky than Dow Jones. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 4,238,757 in Dow Jones Industrial on August 27, 2024 and sell it today you would earn a total of 234,900 from holding Dow Jones Industrial or generate 5.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.24% |
| Values | Daily Returns |
Batu Kawan Bhd vs. Dow Jones Industrial
Performance |
| Timeline |
Batu Kawan and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Batu Kawan Bhd
Pair trading matchups for Batu Kawan
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Batu Kawan and Dow Jones
The main advantage of trading using opposite Batu Kawan and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Batu Kawan 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.| Batu Kawan vs. Nova Wellness Group | Batu Kawan vs. Leader Steel Holdings | Batu Kawan vs. Kluang Rubber | Batu Kawan vs. Dataprep Holdings Bhd |
| Dow Jones vs. Meiwu Technology Co | Dow Jones vs. 17 Education Technology | Dow Jones vs. 51Talk Online Education | Dow Jones vs. Afya |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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