Correlation Between Galva Technologies and Buana Listya
Can any of the company-specific risk be diversified away by investing in both Galva Technologies and Buana Listya 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 Galva Technologies and Buana Listya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Galva Technologies Tbk and Buana Listya Tama, you can compare the effects of market volatilities on Galva Technologies and Buana Listya 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 Galva Technologies with a short position of Buana Listya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Galva Technologies and Buana Listya.
Diversification Opportunities for Galva Technologies and Buana Listya
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Galva and Buana is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Galva Technologies Tbk and Buana Listya Tama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buana Listya Tama and Galva Technologies 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 Galva Technologies Tbk are associated (or correlated) with Buana Listya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buana Listya Tama has no effect on the direction of Galva Technologies i.e., Galva Technologies and Buana Listya go up and down completely randomly.
Pair Corralation between Galva Technologies and Buana Listya
Assuming the 90 days trading horizon Galva Technologies Tbk is expected to under-perform the Buana Listya. In addition to that, Galva Technologies is 1.01 times more volatile than Buana Listya Tama. It trades about -0.01 of its total potential returns per unit of risk. Buana Listya Tama is currently generating about 0.01 per unit of volatility. If you would invest 12,000 in Buana Listya Tama on December 29, 2024 and sell it today you would lose (100.00) from holding Buana Listya Tama or give up 0.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Galva Technologies Tbk vs. Buana Listya Tama
Performance |
Timeline |
Galva Technologies Tbk |
Buana Listya Tama |
Galva Technologies and Buana Listya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Galva Technologies and Buana Listya
The main advantage of trading using opposite Galva Technologies and Buana Listya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Galva Technologies position performs unexpectedly, Buana Listya 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 Buana Listya will offset losses from the drop in Buana Listya's long position.Galva Technologies vs. Multipolar Technology Tbk | Galva Technologies vs. Nusantara Voucher Distribution | Galva Technologies vs. Hensel Davest Indonesia | Galva Technologies vs. Anabatic Technologies Tbk |
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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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