Correlation Between Panca Anugrah and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Panca Anugrah 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 Panca Anugrah and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Panca Anugrah Wisesa and Dow Jones Industrial, you can compare the effects of market volatilities on Panca Anugrah 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 Panca Anugrah with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Panca Anugrah and Dow Jones.
Diversification Opportunities for Panca Anugrah and Dow Jones
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Panca and Dow is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Panca Anugrah Wisesa 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 Panca Anugrah 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 Panca Anugrah Wisesa 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 Panca Anugrah i.e., Panca Anugrah and Dow Jones go up and down completely randomly.
Pair Corralation between Panca Anugrah and Dow Jones
Assuming the 90 days trading horizon Panca Anugrah Wisesa is expected to generate 5.08 times more return on investment than Dow Jones. However, Panca Anugrah is 5.08 times more volatile than Dow Jones Industrial. It trades about 0.1 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest 7,800 in Panca Anugrah Wisesa on December 28, 2024 and sell it today you would earn a total of 1,700 from holding Panca Anugrah Wisesa or generate 21.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.72% |
Values | Daily Returns |
Panca Anugrah Wisesa vs. Dow Jones Industrial
Performance |
Timeline |
Panca Anugrah and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Panca Anugrah Wisesa
Pair trading matchups for Panca Anugrah
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Panca Anugrah and Dow Jones
The main advantage of trading using opposite Panca Anugrah and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Panca Anugrah 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.Panca Anugrah vs. Imago Mulia Persada | Panca Anugrah vs. PT Sunter Lakeside | Panca Anugrah vs. Ladangbaja Murni PT | Panca Anugrah vs. Lima Dua Lima |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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