Correlation Between Chandra Asri and Bank Rakyat
Can any of the company-specific risk be diversified away by investing in both Chandra Asri and Bank Rakyat 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 Chandra Asri and Bank Rakyat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chandra Asri Petrochemical and Bank Rakyat Indonesia, you can compare the effects of market volatilities on Chandra Asri and Bank Rakyat 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 Chandra Asri with a short position of Bank Rakyat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chandra Asri and Bank Rakyat.
Diversification Opportunities for Chandra Asri and Bank Rakyat
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chandra and Bank is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Chandra Asri Petrochemical and Bank Rakyat Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Rakyat Indonesia and Chandra 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 Chandra Asri Petrochemical are associated (or correlated) with Bank Rakyat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Rakyat Indonesia has no effect on the direction of Chandra Asri i.e., Chandra Asri and Bank Rakyat go up and down completely randomly.
Pair Corralation between Chandra Asri and Bank Rakyat
Assuming the 90 days trading horizon Chandra Asri Petrochemical is expected to under-perform the Bank Rakyat. In addition to that, Chandra Asri is 2.94 times more volatile than Bank Rakyat Indonesia. It trades about -0.4 of its total potential returns per unit of risk. Bank Rakyat Indonesia is currently generating about -0.48 per unit of volatility. If you would invest 486,000 in Bank Rakyat Indonesia on August 24, 2024 and sell it today you would lose (61,000) from holding Bank Rakyat Indonesia or give up 12.55% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Chandra Asri Petrochemical vs. Bank Rakyat Indonesia
Performance |
| Timeline |
| Chandra Asri Petroch |
| Bank Rakyat Indonesia |
Chandra Asri and Bank Rakyat Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Chandra Asri and Bank Rakyat
The main advantage of trading using opposite Chandra Asri and Bank Rakyat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chandra Asri position performs unexpectedly, Bank Rakyat 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 Bank Rakyat will offset losses from the drop in Bank Rakyat's long position.| Chandra Asri vs. Kedaung Indah Can | Chandra Asri vs. Langgeng Makmur Industri | Chandra Asri vs. Kabelindo Murni Tbk | Chandra Asri vs. Mustika Ratu Tbk |
| Bank Rakyat vs. Bank Central Asia | Bank Rakyat vs. Bank Mandiri Persero | Bank Rakyat vs. Bank Negara Indonesia | Bank Rakyat 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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