Correlation Between Ramayana Lestari and Ultra Jaya
Can any of the company-specific risk be diversified away by investing in both Ramayana Lestari and Ultra Jaya 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 Ramayana Lestari and Ultra Jaya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ramayana Lestari Sentosa and Ultra Jaya Milk, you can compare the effects of market volatilities on Ramayana Lestari and Ultra Jaya 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 Ramayana Lestari with a short position of Ultra Jaya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ramayana Lestari and Ultra Jaya.
Diversification Opportunities for Ramayana Lestari and Ultra Jaya
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ramayana and Ultra is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Ramayana Lestari Sentosa and Ultra Jaya Milk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultra Jaya Milk and Ramayana Lestari 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 Ramayana Lestari Sentosa are associated (or correlated) with Ultra Jaya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultra Jaya Milk has no effect on the direction of Ramayana Lestari i.e., Ramayana Lestari and Ultra Jaya go up and down completely randomly.
Pair Corralation between Ramayana Lestari and Ultra Jaya
Assuming the 90 days trading horizon Ramayana Lestari Sentosa is expected to under-perform the Ultra Jaya. But the stock apears to be less risky and, when comparing its historical volatility, Ramayana Lestari Sentosa is 1.36 times less risky than Ultra Jaya. The stock trades about -0.05 of its potential returns per unit of risk. The Ultra Jaya Milk is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 142,569 in Ultra Jaya Milk on August 29, 2024 and sell it today you would earn a total of 24,931 from holding Ultra Jaya Milk or generate 17.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.73% |
| Values | Daily Returns |
Ramayana Lestari Sentosa vs. Ultra Jaya Milk
Performance |
| Timeline |
| Ramayana Lestari Sentosa |
| Ultra Jaya Milk |
Ramayana Lestari and Ultra Jaya Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ramayana Lestari and Ultra Jaya
The main advantage of trading using opposite Ramayana Lestari and Ultra Jaya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ramayana Lestari position performs unexpectedly, Ultra Jaya 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 Ultra Jaya will offset losses from the drop in Ultra Jaya's long position.| Ramayana Lestari vs. Mitra Adiperkasa Tbk | Ramayana Lestari vs. Matahari Putra Prima | Ramayana Lestari vs. Summarecon Agung Tbk | Ramayana Lestari vs. Ciputra Development Tbk |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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