Correlation Between Berlina Tbk and Asiaplast Industries
Can any of the company-specific risk be diversified away by investing in both Berlina Tbk and Asiaplast Industries 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 Berlina Tbk and Asiaplast Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berlina Tbk and Asiaplast Industries Tbk, you can compare the effects of market volatilities on Berlina Tbk and Asiaplast Industries 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 Berlina Tbk with a short position of Asiaplast Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berlina Tbk and Asiaplast Industries.
Diversification Opportunities for Berlina Tbk and Asiaplast Industries
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Berlina and Asiaplast is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Berlina Tbk and Asiaplast Industries Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asiaplast Industries Tbk and Berlina Tbk 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 Berlina Tbk are associated (or correlated) with Asiaplast Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asiaplast Industries Tbk has no effect on the direction of Berlina Tbk i.e., Berlina Tbk and Asiaplast Industries go up and down completely randomly.
Pair Corralation between Berlina Tbk and Asiaplast Industries
Assuming the 90 days trading horizon Berlina Tbk is expected to generate 0.96 times more return on investment than Asiaplast Industries. However, Berlina Tbk is 1.04 times less risky than Asiaplast Industries. It trades about 0.01 of its potential returns per unit of risk. Asiaplast Industries Tbk is currently generating about -0.07 per unit of risk. If you would invest 70,000 in Berlina Tbk on December 26, 2024 and sell it today you would earn a total of 0.00 from holding Berlina Tbk or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
Berlina Tbk vs. Asiaplast Industries Tbk
Performance |
Timeline |
Berlina Tbk |
Asiaplast Industries Tbk |
Berlina Tbk and Asiaplast Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berlina Tbk and Asiaplast Industries
The main advantage of trading using opposite Berlina Tbk and Asiaplast Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berlina Tbk position performs unexpectedly, Asiaplast Industries 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 Asiaplast Industries will offset losses from the drop in Asiaplast Industries' long position.Berlina Tbk vs. Argha Karya Prima | Berlina Tbk vs. Asiaplast Industries Tbk | Berlina Tbk vs. Betonjaya Manunggal Tbk | Berlina Tbk vs. Champion Pacific Indonesia |
Asiaplast Industries vs. Argha Karya Prima | Asiaplast Industries vs. Alumindo Light Metal | Asiaplast Industries vs. Anugerah Kagum Karya | Asiaplast Industries vs. Asahimas Flat Glass |
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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