Correlation Between Ulima Nitra and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Ulima Nitra 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 Ulima Nitra and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ulima Nitra PT and Dow Jones Industrial, you can compare the effects of market volatilities on Ulima Nitra 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 Ulima Nitra with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ulima Nitra and Dow Jones.
Diversification Opportunities for Ulima Nitra and Dow Jones
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ulima and Dow is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Ulima Nitra PT 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 Ulima Nitra 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 Ulima Nitra PT 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 Ulima Nitra i.e., Ulima Nitra and Dow Jones go up and down completely randomly.
Pair Corralation between Ulima Nitra and Dow Jones
Assuming the 90 days trading horizon Ulima Nitra PT is expected to generate 2.48 times more return on investment than Dow Jones. However, Ulima Nitra is 2.48 times more volatile than Dow Jones Industrial. It trades about 0.38 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.27 per unit of risk. If you would invest 55,000 in Ulima Nitra PT on August 30, 2024 and sell it today you would earn a total of 11,500 from holding Ulima Nitra PT or generate 20.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Ulima Nitra PT vs. Dow Jones Industrial
Performance |
| Timeline |
Ulima Nitra and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Ulima Nitra PT
Pair trading matchups for Ulima Nitra
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Ulima Nitra and Dow Jones
The main advantage of trading using opposite Ulima Nitra and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ulima Nitra 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.| Ulima Nitra vs. Widodo Makmur Unggas | Ulima Nitra vs. Borneo Olah Sarana | Ulima Nitra vs. PT Sunter Lakeside | Ulima Nitra vs. Era Mandiri Cemerlang |
| Dow Jones vs. Skillful Craftsman Education | Dow Jones vs. Acco Brands | Dow Jones vs. Cracker Barrel Old | Dow Jones vs. Coursera |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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