Correlation Between Imago Mulia and Panca Anugrah
Can any of the company-specific risk be diversified away by investing in both Imago Mulia and Panca Anugrah 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 Imago Mulia and Panca Anugrah into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Imago Mulia Persada and Panca Anugrah Wisesa, you can compare the effects of market volatilities on Imago Mulia and Panca Anugrah 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 Imago Mulia with a short position of Panca Anugrah. Check out your portfolio center. Please also check ongoing floating volatility patterns of Imago Mulia and Panca Anugrah.
Diversification Opportunities for Imago Mulia and Panca Anugrah
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Imago and Panca is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Imago Mulia Persada and Panca Anugrah Wisesa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panca Anugrah Wisesa and Imago Mulia 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 Imago Mulia Persada are associated (or correlated) with Panca Anugrah. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panca Anugrah Wisesa has no effect on the direction of Imago Mulia i.e., Imago Mulia and Panca Anugrah go up and down completely randomly.
Pair Corralation between Imago Mulia and Panca Anugrah
Assuming the 90 days trading horizon Imago Mulia Persada is expected to generate 1.12 times more return on investment than Panca Anugrah. However, Imago Mulia is 1.12 times more volatile than Panca Anugrah Wisesa. It trades about 0.12 of its potential returns per unit of risk. Panca Anugrah Wisesa is currently generating about 0.1 per unit of risk. If you would invest 8,600 in Imago Mulia Persada on December 29, 2024 and sell it today you would earn a total of 2,800 from holding Imago Mulia Persada or generate 32.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Imago Mulia Persada vs. Panca Anugrah Wisesa
Performance |
Timeline |
Imago Mulia Persada |
Panca Anugrah Wisesa |
Imago Mulia and Panca Anugrah Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Imago Mulia and Panca Anugrah
The main advantage of trading using opposite Imago Mulia and Panca Anugrah positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Imago Mulia position performs unexpectedly, Panca Anugrah 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 Panca Anugrah will offset losses from the drop in Panca Anugrah's long position.Imago Mulia vs. Panca Anugrah Wisesa | Imago Mulia vs. PT Sunter Lakeside | Imago Mulia vs. Nusa Palapa Gemilang | Imago Mulia vs. Ulima Nitra PT |
Panca Anugrah vs. Imago Mulia Persada | Panca Anugrah vs. PT Sunter Lakeside | Panca Anugrah vs. Ladangbaja Murni PT | Panca Anugrah vs. Lima Dua Lima |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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