Correlation Between Anugerah Kagum and Berlina Tbk
Can any of the company-specific risk be diversified away by investing in both Anugerah Kagum and Berlina Tbk 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 Anugerah Kagum and Berlina Tbk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Anugerah Kagum Karya and Berlina Tbk, you can compare the effects of market volatilities on Anugerah Kagum and Berlina Tbk 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 Anugerah Kagum with a short position of Berlina Tbk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anugerah Kagum and Berlina Tbk.
Diversification Opportunities for Anugerah Kagum and Berlina Tbk
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Anugerah and Berlina is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Anugerah Kagum Karya and Berlina Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berlina Tbk and Anugerah Kagum 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 Anugerah Kagum Karya are associated (or correlated) with Berlina Tbk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berlina Tbk has no effect on the direction of Anugerah Kagum i.e., Anugerah Kagum and Berlina Tbk go up and down completely randomly.
Pair Corralation between Anugerah Kagum and Berlina Tbk
Assuming the 90 days trading horizon Anugerah Kagum Karya is expected to generate 1.04 times more return on investment than Berlina Tbk. However, Anugerah Kagum is 1.04 times more volatile than Berlina Tbk. It trades about 0.02 of its potential returns per unit of risk. Berlina Tbk is currently generating about 0.0 per unit of risk. If you would invest 1,400 in Anugerah Kagum Karya on September 12, 2024 and sell it today you would earn a total of 0.00 from holding Anugerah Kagum Karya or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Anugerah Kagum Karya vs. Berlina Tbk
Performance |
Timeline |
Anugerah Kagum Karya |
Berlina Tbk |
Anugerah Kagum and Berlina Tbk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Anugerah Kagum and Berlina Tbk
The main advantage of trading using opposite Anugerah Kagum and Berlina Tbk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anugerah Kagum position performs unexpectedly, Berlina Tbk 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 Berlina Tbk will offset losses from the drop in Berlina Tbk's long position.Anugerah Kagum vs. Asiaplast Industries Tbk | Anugerah Kagum vs. Argha Karya Prima | Anugerah Kagum vs. Alumindo Light Metal | Anugerah Kagum vs. Asahimas Flat Glass |
Berlina Tbk vs. Argha Karya Prima | Berlina Tbk vs. Asiaplast Industries Tbk | Berlina Tbk vs. Betonjaya Manunggal Tbk | Berlina Tbk vs. Champion Pacific Indonesia |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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