Correlation Between PT Mandiri and Dow Jones
Can any of the company-specific risk be diversified away by investing in both PT Mandiri 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 Mandiri 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 Mandiri Herindo and Dow Jones Industrial, you can compare the effects of market volatilities on PT Mandiri 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 Mandiri with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Mandiri and Dow Jones.
Diversification Opportunities for PT Mandiri and Dow Jones
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MAHA and Dow is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding PT Mandiri Herindo 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 Mandiri 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 Mandiri Herindo 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 Mandiri i.e., PT Mandiri and Dow Jones go up and down completely randomly.
Pair Corralation between PT Mandiri and Dow Jones
Assuming the 90 days trading horizon PT Mandiri Herindo is expected to under-perform the Dow Jones. In addition to that, PT Mandiri is 1.95 times more volatile than Dow Jones Industrial. It trades about -0.13 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of volatility. If you would invest 4,257,373 in Dow Jones Industrial on December 29, 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 | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
PT Mandiri Herindo vs. Dow Jones Industrial
Performance |
Timeline |
PT Mandiri and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
PT Mandiri Herindo
Pair trading matchups for PT Mandiri
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with PT Mandiri and Dow Jones
The main advantage of trading using opposite PT Mandiri and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Mandiri 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 Mandiri vs. Protech Mitra Perkasa | PT Mandiri vs. Optima Prima Metal | PT Mandiri vs. Indosterling Technomedia Tbk | PT Mandiri vs. Bekasi Fajar Industrial |
Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark Investment |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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