Correlation Between PT Hasnur and Dow Jones
Can any of the company-specific risk be diversified away by investing in both PT Hasnur 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 PT Hasnur and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Hasnur Internasional and Dow Jones Industrial, you can compare the effects of market volatilities on PT Hasnur 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 PT Hasnur with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Hasnur and Dow Jones.
Diversification Opportunities for PT Hasnur and Dow Jones
Average diversification
The 3 months correlation between HAIS and Dow is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding PT Hasnur Internasional 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 PT Hasnur 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 PT Hasnur Internasional 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 PT Hasnur i.e., PT Hasnur and Dow Jones go up and down completely randomly.
Pair Corralation between PT Hasnur and Dow Jones
Assuming the 90 days trading horizon PT Hasnur is expected to generate 1.21 times less return on investment than Dow Jones. In addition to that, PT Hasnur is 2.5 times more volatile than Dow Jones Industrial. It trades about 0.04 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.13 per unit of volatility. If you would invest 3,541,698 in Dow Jones Industrial on August 24, 2024 and sell it today you would earn a total of 845,337 from holding Dow Jones Industrial or generate 23.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 94.0% |
Values | Daily Returns |
PT Hasnur Internasional vs. Dow Jones Industrial
Performance |
Timeline |
PT Hasnur and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
PT Hasnur Internasional
Pair trading matchups for PT Hasnur
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with PT Hasnur and Dow Jones
The main advantage of trading using opposite PT Hasnur and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Hasnur 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.PT Hasnur vs. PAM Mineral Tbk | PT Hasnur vs. Pelayaran Nelly Dwi | PT Hasnur vs. Bintang Samudera Mandiri | PT Hasnur vs. Trans Power Marine |
Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Titan Machinery | Dow Jones vs. Simon Property Group |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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