Correlation Between Chandra Asri and Bumi Resources
Can any of the company-specific risk be diversified away by investing in both Chandra Asri and Bumi Resources 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 Bumi Resources 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 Bumi Resources Tbk, you can compare the effects of market volatilities on Chandra Asri and Bumi Resources 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 Bumi Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chandra Asri and Bumi Resources.
Diversification Opportunities for Chandra Asri and Bumi Resources
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chandra and Bumi is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Chandra Asri Petrochemical and Bumi Resources Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bumi Resources Tbk 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 Bumi Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bumi Resources Tbk has no effect on the direction of Chandra Asri i.e., Chandra Asri and Bumi Resources go up and down completely randomly.
Pair Corralation between Chandra Asri and Bumi Resources
Assuming the 90 days trading horizon Chandra Asri Petrochemical is expected to under-perform the Bumi Resources. But the stock apears to be less risky and, when comparing its historical volatility, Chandra Asri Petrochemical is 1.22 times less risky than Bumi Resources. The stock trades about -0.03 of its potential returns per unit of risk. The Bumi Resources Tbk is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 10,500 in Bumi Resources Tbk on September 15, 2024 and sell it today you would earn a total of 3,700 from holding Bumi Resources Tbk or generate 35.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chandra Asri Petrochemical vs. Bumi Resources Tbk
Performance |
Timeline |
Chandra Asri Petroch |
Bumi Resources Tbk |
Chandra Asri and Bumi Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chandra Asri and Bumi Resources
The main advantage of trading using opposite Chandra Asri and Bumi Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chandra Asri position performs unexpectedly, Bumi Resources 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 Bumi Resources will offset losses from the drop in Bumi Resources' long position.Chandra Asri vs. Barito Pacific Tbk | Chandra Asri vs. Pabrik Kertas Tjiwi | Chandra Asri vs. Charoen Pokphand Indonesia | Chandra Asri vs. Indah Kiat Pulp |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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