Correlation Between Dow Jones and Harum Energy
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Harum Energy 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 Harum Energy 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 Harum Energy Tbk, you can compare the effects of market volatilities on Dow Jones and Harum Energy 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 Harum Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Harum Energy.
Diversification Opportunities for Dow Jones and Harum Energy
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dow and Harum is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Harum Energy Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harum Energy Tbk 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 Harum Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harum Energy Tbk has no effect on the direction of Dow Jones i.e., Dow Jones and Harum Energy go up and down completely randomly.
Pair Corralation between Dow Jones and Harum Energy
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.35 times more return on investment than Harum Energy. However, Dow Jones Industrial is 2.88 times less risky than Harum Energy. It trades about -0.04 of its potential returns per unit of risk. Harum Energy Tbk is currently generating about -0.25 per unit of risk. If you would invest 4,257,373 in Dow Jones Industrial on December 30, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
Dow Jones Industrial vs. Harum Energy Tbk
Performance |
Timeline |
Dow Jones and Harum Energy Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Harum Energy Tbk
Pair trading matchups for Harum Energy
Pair Trading with Dow Jones and Harum Energy
The main advantage of trading using opposite Dow Jones and Harum Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Harum Energy 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 Harum Energy will offset losses from the drop in Harum Energy's long position.Dow Jones vs. Highway Holdings Limited | Dow Jones vs. Companhia Siderurgica Nacional | Dow Jones vs. POSCO Holdings | Dow Jones vs. Grupo Simec SAB |
Harum Energy vs. Indo Tambangraya Megah | Harum Energy vs. Indika Energy Tbk | Harum Energy vs. Adaro Energy Tbk | Harum Energy vs. Akr Corporindo Tbk |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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