Correlation Between Electronic City and Garuda Metalindo
Can any of the company-specific risk be diversified away by investing in both Electronic City and Garuda Metalindo 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 Electronic City and Garuda Metalindo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Electronic City Indonesia and Garuda Metalindo Tbk, you can compare the effects of market volatilities on Electronic City and Garuda Metalindo 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 Electronic City with a short position of Garuda Metalindo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Electronic City and Garuda Metalindo.
Diversification Opportunities for Electronic City and Garuda Metalindo
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Electronic and Garuda is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Electronic City Indonesia and Garuda Metalindo Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Garuda Metalindo Tbk and Electronic City 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 Electronic City Indonesia are associated (or correlated) with Garuda Metalindo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Garuda Metalindo Tbk has no effect on the direction of Electronic City i.e., Electronic City and Garuda Metalindo go up and down completely randomly.
Pair Corralation between Electronic City and Garuda Metalindo
Assuming the 90 days trading horizon Electronic City Indonesia is expected to under-perform the Garuda Metalindo. In addition to that, Electronic City is 4.79 times more volatile than Garuda Metalindo Tbk. It trades about -0.03 of its total potential returns per unit of risk. Garuda Metalindo Tbk is currently generating about -0.05 per unit of volatility. If you would invest 130,000 in Garuda Metalindo Tbk on December 29, 2024 and sell it today you would lose (8,000) from holding Garuda Metalindo Tbk or give up 6.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Electronic City Indonesia vs. Garuda Metalindo Tbk
Performance |
Timeline |
Electronic City Indonesia |
Garuda Metalindo Tbk |
Electronic City and Garuda Metalindo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Electronic City and Garuda Metalindo
The main advantage of trading using opposite Electronic City and Garuda Metalindo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Electronic City position performs unexpectedly, Garuda Metalindo 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 Garuda Metalindo will offset losses from the drop in Garuda Metalindo's long position.Electronic City vs. Catur Sentosa Adiprana | Electronic City vs. Fast Food Indonesia | Electronic City vs. Hero Supermarket Tbk | Electronic City vs. Graha Layar Prima |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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