Correlation Between Garda Tujuh and Tembaga Mulia
Can any of the company-specific risk be diversified away by investing in both Garda Tujuh and Tembaga Mulia 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 Garda Tujuh and Tembaga Mulia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Garda Tujuh Buana and Tembaga Mulia Semanan, you can compare the effects of market volatilities on Garda Tujuh and Tembaga Mulia 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 Garda Tujuh with a short position of Tembaga Mulia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Garda Tujuh and Tembaga Mulia.
Diversification Opportunities for Garda Tujuh and Tembaga Mulia
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Garda and Tembaga is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Garda Tujuh Buana and Tembaga Mulia Semanan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tembaga Mulia Semanan and Garda Tujuh 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 Garda Tujuh Buana are associated (or correlated) with Tembaga Mulia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tembaga Mulia Semanan has no effect on the direction of Garda Tujuh i.e., Garda Tujuh and Tembaga Mulia go up and down completely randomly.
Pair Corralation between Garda Tujuh and Tembaga Mulia
Assuming the 90 days trading horizon Garda Tujuh Buana is expected to under-perform the Tembaga Mulia. In addition to that, Garda Tujuh is 1.94 times more volatile than Tembaga Mulia Semanan. It trades about -0.28 of its total potential returns per unit of risk. Tembaga Mulia Semanan is currently generating about -0.03 per unit of volatility. If you would invest 93,500 in Tembaga Mulia Semanan on December 30, 2024 and sell it today you would lose (3,500) from holding Tembaga Mulia Semanan or give up 3.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Garda Tujuh Buana vs. Tembaga Mulia Semanan
Performance |
Timeline |
Garda Tujuh Buana |
Tembaga Mulia Semanan |
Garda Tujuh and Tembaga Mulia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Garda Tujuh and Tembaga Mulia
The main advantage of trading using opposite Garda Tujuh and Tembaga Mulia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Garda Tujuh position performs unexpectedly, Tembaga Mulia 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 Tembaga Mulia will offset losses from the drop in Tembaga Mulia's long position.Garda Tujuh vs. Resource Alam Indonesia | Garda Tujuh vs. Perdana Karya Perkasa | Garda Tujuh vs. Exploitasi Energi Indonesia | Garda Tujuh vs. Bayan Resources Tbk |
Tembaga Mulia vs. Unggul Indah Cahaya | Tembaga Mulia vs. Surya Toto Indonesia | Tembaga Mulia vs. Pelangi Indah Canindo | Tembaga Mulia vs. Trias Sentosa Tbk |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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