Correlation Between Jakarta Int and Jasa Armada
Can any of the company-specific risk be diversified away by investing in both Jakarta Int 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 Jakarta Int and Jasa Armada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Jasa Armada Indonesia, you can compare the effects of market volatilities on Jakarta Int 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 Jakarta Int with a short position of Jasa Armada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Jasa Armada.
Diversification Opportunities for Jakarta Int and Jasa Armada
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jakarta and Jasa is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels 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 Jakarta Int 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 Jakarta Int Hotels 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 Jakarta Int i.e., Jakarta Int and Jasa Armada go up and down completely randomly.
Pair Corralation between Jakarta Int and Jasa Armada
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Jasa Armada. In addition to that, Jakarta Int is 7.47 times more volatile than Jasa Armada Indonesia. It trades about -0.13 of its total potential returns per unit of risk. Jasa Armada Indonesia is currently generating about -0.04 per unit of volatility. If you would invest 26,600 in Jasa Armada Indonesia on December 30, 2024 and sell it today you would lose (600.00) from holding Jasa Armada Indonesia or give up 2.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Jasa Armada Indonesia
Performance |
Timeline |
Jakarta Int Hotels |
Jasa Armada Indonesia |
Jakarta Int and Jasa Armada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Jasa Armada
The main advantage of trading using opposite Jakarta Int and Jasa Armada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int 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.Jakarta Int vs. Jaya Real Property | Jakarta Int vs. Mnc Land Tbk | Jakarta Int vs. Kawasan Industri Jababeka | Jakarta Int vs. Duta Pertiwi 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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