Correlation Between Bekasi Asri and Indosat Tbk
Can any of the company-specific risk be diversified away by investing in both Bekasi Asri and Indosat Tbk 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 Bekasi Asri and Indosat Tbk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bekasi Asri Pemula and Indosat Tbk, you can compare the effects of market volatilities on Bekasi Asri and Indosat Tbk 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 Bekasi Asri with a short position of Indosat Tbk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bekasi Asri and Indosat Tbk.
Diversification Opportunities for Bekasi Asri and Indosat Tbk
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bekasi and Indosat is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Bekasi Asri Pemula and Indosat Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indosat Tbk and Bekasi Asri 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 Bekasi Asri Pemula are associated (or correlated) with Indosat Tbk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indosat Tbk has no effect on the direction of Bekasi Asri i.e., Bekasi Asri and Indosat Tbk go up and down completely randomly.
Pair Corralation between Bekasi Asri and Indosat Tbk
Assuming the 90 days trading horizon Bekasi Asri Pemula is expected to under-perform the Indosat Tbk. But the stock apears to be less risky and, when comparing its historical volatility, Bekasi Asri Pemula is 1.09 times less risky than Indosat Tbk. The stock trades about -0.01 of its potential returns per unit of risk. The Indosat Tbk is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 544,351 in Indosat Tbk on September 2, 2024 and sell it today you would lose (301,351) from holding Indosat Tbk or give up 55.36% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.79% |
| Values | Daily Returns |
Bekasi Asri Pemula vs. Indosat Tbk
Performance |
| Timeline |
| Bekasi Asri Pemula |
| Indosat Tbk |
Bekasi Asri and Indosat Tbk Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bekasi Asri and Indosat Tbk
The main advantage of trading using opposite Bekasi Asri and Indosat Tbk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bekasi Asri position performs unexpectedly, Indosat Tbk 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 Indosat Tbk will offset losses from the drop in Indosat Tbk's long position.| Bekasi Asri vs. Lippo Cikarang Tbk | Bekasi Asri vs. Lippo Karawaci Tbk | Bekasi Asri vs. Mitra Pinasthika Mustika | Bekasi Asri vs. Jakarta Int Hotels |
| Indosat Tbk vs. Astra Agro Lestari | Indosat Tbk vs. Vale Indonesia Tbk | Indosat Tbk vs. Timah Persero Tbk | Indosat Tbk vs. Medco Energi Internasional |
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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