Correlation Between Jakarta Int and Indofood Cbp
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Indofood Cbp 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 Indofood Cbp 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 Indofood Cbp Sukses, you can compare the effects of market volatilities on Jakarta Int and Indofood Cbp 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 Indofood Cbp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Indofood Cbp.
Diversification Opportunities for Jakarta Int and Indofood Cbp
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Jakarta and Indofood is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Indofood Cbp Sukses in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indofood Cbp Sukses 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 Indofood Cbp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indofood Cbp Sukses has no effect on the direction of Jakarta Int i.e., Jakarta Int and Indofood Cbp go up and down completely randomly.
Pair Corralation between Jakarta Int and Indofood Cbp
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 2.49 times more return on investment than Indofood Cbp. However, Jakarta Int is 2.49 times more volatile than Indofood Cbp Sukses. It trades about 0.13 of its potential returns per unit of risk. Indofood Cbp Sukses is currently generating about 0.03 per unit of risk. If you would invest 35,800 in Jakarta Int Hotels on September 2, 2024 and sell it today you would earn a total of 261,200 from holding Jakarta Int Hotels or generate 729.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.79% |
| Values | Daily Returns |
Jakarta Int Hotels vs. Indofood Cbp Sukses
Performance |
| Timeline |
| Jakarta Int Hotels |
| Indofood Cbp Sukses |
Jakarta Int and Indofood Cbp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Jakarta Int and Indofood Cbp
The main advantage of trading using opposite Jakarta Int and Indofood Cbp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Indofood Cbp 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 Indofood Cbp will offset losses from the drop in Indofood Cbp'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 |
| Indofood Cbp vs. Unilever Indonesia Tbk | Indofood Cbp vs. PT Indofood Sukses | Indofood Cbp vs. Astra International Tbk | Indofood Cbp vs. Telkom Indonesia 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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