Correlation Between Lippo Cikarang and Bank Rakyat
Can any of the company-specific risk be diversified away by investing in both Lippo Cikarang 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 Lippo Cikarang and Bank Rakyat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lippo Cikarang Tbk and Bank Rakyat Indonesia, you can compare the effects of market volatilities on Lippo Cikarang 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 Lippo Cikarang with a short position of Bank Rakyat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lippo Cikarang and Bank Rakyat.
Diversification Opportunities for Lippo Cikarang and Bank Rakyat
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lippo and Bank is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Lippo Cikarang Tbk 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 Lippo Cikarang 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 Lippo Cikarang Tbk 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 Lippo Cikarang i.e., Lippo Cikarang and Bank Rakyat go up and down completely randomly.
Pair Corralation between Lippo Cikarang and Bank Rakyat
Assuming the 90 days trading horizon Lippo Cikarang Tbk is expected to generate 1.04 times more return on investment than Bank Rakyat. However, Lippo Cikarang is 1.04 times more volatile than Bank Rakyat Indonesia. It trades about 0.09 of its potential returns per unit of risk. Bank Rakyat Indonesia is currently generating about -0.26 per unit of risk. If you would invest 58,000 in Lippo Cikarang Tbk on February 4, 2024 and sell it today you would earn a total of 4,000 from holding Lippo Cikarang Tbk or generate 6.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lippo Cikarang Tbk vs. Bank Rakyat Indonesia
Performance |
Timeline |
Lippo Cikarang Tbk |
Bank Rakyat Indonesia |
Lippo Cikarang and Bank Rakyat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lippo Cikarang and Bank Rakyat
The main advantage of trading using opposite Lippo Cikarang and Bank Rakyat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lippo Cikarang 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.Lippo Cikarang vs. Bakrie Brothers Tbk | Lippo Cikarang vs. Bakrie Sumatera Plantations | Lippo Cikarang vs. Energi Mega Persada | Lippo Cikarang vs. Darma Henwa Tbk |
Bank Rakyat vs. Indosat Tbk | Bank Rakyat vs. Astra Agro Lestari | Bank Rakyat vs. Indocement Tunggal Prakarsa |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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