Correlation Between Saranacentral Bajatama and Kedawung Setia
Can any of the company-specific risk be diversified away by investing in both Saranacentral Bajatama and Kedawung Setia 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 Saranacentral Bajatama and Kedawung Setia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saranacentral Bajatama Tbk and Kedawung Setia Industrial, you can compare the effects of market volatilities on Saranacentral Bajatama and Kedawung Setia 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 Saranacentral Bajatama with a short position of Kedawung Setia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saranacentral Bajatama and Kedawung Setia.
Diversification Opportunities for Saranacentral Bajatama and Kedawung Setia
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Saranacentral and Kedawung is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Saranacentral Bajatama Tbk and Kedawung Setia Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kedawung Setia Industrial and Saranacentral Bajatama 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 Saranacentral Bajatama Tbk are associated (or correlated) with Kedawung Setia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kedawung Setia Industrial has no effect on the direction of Saranacentral Bajatama i.e., Saranacentral Bajatama and Kedawung Setia go up and down completely randomly.
Pair Corralation between Saranacentral Bajatama and Kedawung Setia
Assuming the 90 days trading horizon Saranacentral Bajatama Tbk is expected to under-perform the Kedawung Setia. In addition to that, Saranacentral Bajatama is 1.01 times more volatile than Kedawung Setia Industrial. It trades about -0.01 of its total potential returns per unit of risk. Kedawung Setia Industrial is currently generating about 0.08 per unit of volatility. If you would invest 37,500 in Kedawung Setia Industrial on August 31, 2024 and sell it today you would earn a total of 5,300 from holding Kedawung Setia Industrial or generate 14.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Saranacentral Bajatama Tbk vs. Kedawung Setia Industrial
Performance |
Timeline |
Saranacentral Bajatama |
Kedawung Setia Industrial |
Saranacentral Bajatama and Kedawung Setia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saranacentral Bajatama and Kedawung Setia
The main advantage of trading using opposite Saranacentral Bajatama and Kedawung Setia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saranacentral Bajatama position performs unexpectedly, Kedawung Setia 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 Kedawung Setia will offset losses from the drop in Kedawung Setia's long position.Saranacentral Bajatama vs. Perusahaan Gas Negara | Saranacentral Bajatama vs. Vale Indonesia Tbk | Saranacentral Bajatama vs. Telkom Indonesia Tbk | Saranacentral Bajatama vs. Mitra Pinasthika Mustika |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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