Correlation Between Berlian Laju and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Berlian Laju 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 Berlian Laju and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berlian Laju Tanker and Dow Jones Industrial, you can compare the effects of market volatilities on Berlian Laju 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 Berlian Laju with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berlian Laju and Dow Jones.
Diversification Opportunities for Berlian Laju and Dow Jones
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Berlian and Dow is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Berlian Laju Tanker 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 Berlian Laju 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 Berlian Laju Tanker 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 Berlian Laju i.e., Berlian Laju and Dow Jones go up and down completely randomly.
Pair Corralation between Berlian Laju and Dow Jones
Assuming the 90 days trading horizon Berlian Laju Tanker is expected to under-perform the Dow Jones. In addition to that, Berlian Laju is 3.85 times more volatile than Dow Jones Industrial. It trades about -0.06 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of volatility. If you would invest 3,396,635 in Dow Jones Industrial on September 4, 2024 and sell it today you would earn a total of 1,073,918 from holding Dow Jones Industrial or generate 31.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.76% |
Values | Daily Returns |
Berlian Laju Tanker vs. Dow Jones Industrial
Performance |
Timeline |
Berlian Laju and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Berlian Laju Tanker
Pair trading matchups for Berlian Laju
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Berlian Laju and Dow Jones
The main advantage of trading using opposite Berlian Laju and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berlian Laju 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.Berlian Laju vs. Intanwijaya Internasional Tbk | Berlian Laju vs. Champion Pacific Indonesia | Berlian Laju vs. Mitra Pinasthika Mustika | Berlian Laju vs. Jakarta Int Hotels |
Dow Jones vs. Gentex | Dow Jones vs. American Axle Manufacturing | Dow Jones vs. Pearson PLC ADR | Dow Jones vs. Marine Products |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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