Correlation Between Surya Toto and Jasa Armada
Can any of the company-specific risk be diversified away by investing in both Surya Toto and Jasa Armada 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 Surya Toto and Jasa Armada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Surya Toto Indonesia and Jasa Armada Indonesia, you can compare the effects of market volatilities on Surya Toto and Jasa Armada 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 Surya Toto with a short position of Jasa Armada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Surya Toto and Jasa Armada.
Diversification Opportunities for Surya Toto and Jasa Armada
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Surya and Jasa is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Surya Toto Indonesia and Jasa Armada Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jasa Armada Indonesia and Surya Toto 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 Surya Toto Indonesia are associated (or correlated) with Jasa Armada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jasa Armada Indonesia has no effect on the direction of Surya Toto i.e., Surya Toto and Jasa Armada go up and down completely randomly.
Pair Corralation between Surya Toto and Jasa Armada
Assuming the 90 days trading horizon Surya Toto Indonesia is expected to under-perform the Jasa Armada. In addition to that, Surya Toto is 1.2 times more volatile than Jasa Armada Indonesia. It trades about -0.12 of its total potential returns per unit of risk. Jasa Armada Indonesia is currently generating about -0.1 per unit of volatility. If you would invest 26,617 in Jasa Armada Indonesia on December 2, 2024 and sell it today you would lose (1,217) from holding Jasa Armada Indonesia or give up 4.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Surya Toto Indonesia vs. Jasa Armada Indonesia
Performance |
Timeline |
Surya Toto Indonesia |
Jasa Armada Indonesia |
Surya Toto and Jasa Armada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Surya Toto and Jasa Armada
The main advantage of trading using opposite Surya Toto and Jasa Armada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Surya Toto position performs unexpectedly, Jasa Armada 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 Jasa Armada will offset losses from the drop in Jasa Armada's long position.Surya Toto vs. Unggul Indah Cahaya | Surya Toto vs. Tembaga Mulia Semanan | Surya Toto vs. PT Mulia Industrindo | Surya Toto vs. Trias Sentosa Tbk |
Jasa Armada vs. PT Indonesia Kendaraan | Jasa Armada vs. PP Presisi Tbk | Jasa Armada vs. Cikarang Listrindo Tbk | Jasa Armada vs. Pelita Samudera Shipping |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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