Correlation Between Sekar Laut and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Sekar Laut 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 Sekar Laut and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sekar Laut Tbk and Dow Jones Industrial, you can compare the effects of market volatilities on Sekar Laut 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 Sekar Laut with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sekar Laut and Dow Jones.
Diversification Opportunities for Sekar Laut and Dow Jones
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sekar and Dow is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Sekar Laut Tbk 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 Sekar Laut 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 Sekar Laut Tbk 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 Sekar Laut i.e., Sekar Laut and Dow Jones go up and down completely randomly.
Pair Corralation between Sekar Laut and Dow Jones
Assuming the 90 days trading horizon Sekar Laut Tbk is expected to generate 65.76 times more return on investment than Dow Jones. However, Sekar Laut is 65.76 times more volatile than Dow Jones Industrial. It trades about 0.04 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of risk. If you would invest 18,556 in Sekar Laut Tbk on September 18, 2024 and sell it today you would earn a total of 1,044 from holding Sekar Laut Tbk or generate 5.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.76% |
Values | Daily Returns |
Sekar Laut Tbk vs. Dow Jones Industrial
Performance |
Timeline |
Sekar Laut and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Sekar Laut Tbk
Pair trading matchups for Sekar Laut
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Sekar Laut and Dow Jones
The main advantage of trading using opposite Sekar Laut and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sekar Laut 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.Sekar Laut vs. Austindo Nusantara Jaya | Sekar Laut vs. Garudafood Putra Putri | Sekar Laut vs. Provident Agro Tbk | Sekar Laut vs. Dharma Satya Nusantara |
Dow Jones vs. Commonwealth Bank of | Dow Jones vs. AmTrust Financial Services | Dow Jones vs. Forsys Metals Corp | Dow Jones vs. Juniata Valley Financial |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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