Correlation Between Jakarta Int and Hanjaya Mandala
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Hanjaya Mandala 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 Hanjaya Mandala 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 Hanjaya Mandala Sampoerna, you can compare the effects of market volatilities on Jakarta Int and Hanjaya Mandala 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 Hanjaya Mandala. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Hanjaya Mandala.
Diversification Opportunities for Jakarta Int and Hanjaya Mandala
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Jakarta and Hanjaya is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Hanjaya Mandala Sampoerna in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanjaya Mandala Sampoerna 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 Hanjaya Mandala. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanjaya Mandala Sampoerna has no effect on the direction of Jakarta Int i.e., Jakarta Int and Hanjaya Mandala go up and down completely randomly.
Pair Corralation between Jakarta Int and Hanjaya Mandala
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 10.13 times more return on investment than Hanjaya Mandala. However, Jakarta Int is 10.13 times more volatile than Hanjaya Mandala Sampoerna. It trades about 0.04 of its potential returns per unit of risk. Hanjaya Mandala Sampoerna is currently generating about -0.18 per unit of risk. If you would invest 116,000 in Jakarta Int Hotels on November 20, 2024 and sell it today you would lose (4,000) from holding Jakarta Int Hotels or give up 3.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Hanjaya Mandala Sampoerna
Performance |
Timeline |
Jakarta Int Hotels |
Hanjaya Mandala Sampoerna |
Jakarta Int and Hanjaya Mandala Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Hanjaya Mandala
The main advantage of trading using opposite Jakarta Int and Hanjaya Mandala positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Hanjaya Mandala 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 Hanjaya Mandala will offset losses from the drop in Hanjaya Mandala'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 |
Hanjaya Mandala vs. Gudang Garam Tbk | Hanjaya Mandala vs. Unilever Indonesia Tbk | Hanjaya Mandala vs. Indofood Cbp Sukses | Hanjaya Mandala vs. PT Indofood Sukses |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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