Correlation Between Kedawung Setia and Wulandari Bangun
Can any of the company-specific risk be diversified away by investing in both Kedawung Setia and Wulandari Bangun 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 Kedawung Setia and Wulandari Bangun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kedawung Setia Industrial and Wulandari Bangun Laksana, you can compare the effects of market volatilities on Kedawung Setia and Wulandari Bangun 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 Kedawung Setia with a short position of Wulandari Bangun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kedawung Setia and Wulandari Bangun.
Diversification Opportunities for Kedawung Setia and Wulandari Bangun
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kedawung and Wulandari is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kedawung Setia Industrial and Wulandari Bangun Laksana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wulandari Bangun Laksana and Kedawung Setia 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 Kedawung Setia Industrial are associated (or correlated) with Wulandari Bangun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wulandari Bangun Laksana has no effect on the direction of Kedawung Setia i.e., Kedawung Setia and Wulandari Bangun go up and down completely randomly.
Pair Corralation between Kedawung Setia and Wulandari Bangun
Assuming the 90 days trading horizon Kedawung Setia Industrial is expected to generate 1.26 times more return on investment than Wulandari Bangun. However, Kedawung Setia is 1.26 times more volatile than Wulandari Bangun Laksana. It trades about -0.05 of its potential returns per unit of risk. Wulandari Bangun Laksana is currently generating about -0.09 per unit of risk. If you would invest 48,250 in Kedawung Setia Industrial on September 19, 2024 and sell it today you would lose (5,050) from holding Kedawung Setia Industrial or give up 10.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kedawung Setia Industrial vs. Wulandari Bangun Laksana
Performance |
Timeline |
Kedawung Setia Industrial |
Wulandari Bangun Laksana |
Kedawung Setia and Wulandari Bangun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kedawung Setia and Wulandari Bangun
The main advantage of trading using opposite Kedawung Setia and Wulandari Bangun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kedawung Setia position performs unexpectedly, Wulandari Bangun 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 Wulandari Bangun will offset losses from the drop in Wulandari Bangun's long position.Kedawung Setia vs. Kedaung Indah Can | Kedawung Setia vs. Langgeng Makmur Industri | Kedawung Setia vs. Kabelindo Murni Tbk | Kedawung Setia vs. Mustika Ratu Tbk |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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