Correlation Between Dupont De and Kedawung Setia
Can any of the company-specific risk be diversified away by investing in both Dupont De 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 Dupont De and Kedawung Setia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dupont De Nemours and Kedawung Setia Industrial, you can compare the effects of market volatilities on Dupont De 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 Dupont De with a short position of Kedawung Setia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dupont De and Kedawung Setia.
Diversification Opportunities for Dupont De and Kedawung Setia
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dupont and Kedawung is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Dupont De Nemours 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 Dupont De 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 Dupont De Nemours 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 Dupont De i.e., Dupont De and Kedawung Setia go up and down completely randomly.
Pair Corralation between Dupont De and Kedawung Setia
Allowing for the 90-day total investment horizon Dupont De Nemours is expected to generate 0.34 times more return on investment than Kedawung Setia. However, Dupont De Nemours is 2.94 times less risky than Kedawung Setia. It trades about -0.01 of its potential returns per unit of risk. Kedawung Setia Industrial is currently generating about -0.02 per unit of risk. If you would invest 7,557 in Dupont De Nemours on December 30, 2024 and sell it today you would lose (154.00) from holding Dupont De Nemours or give up 2.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.77% |
Values | Daily Returns |
Dupont De Nemours vs. Kedawung Setia Industrial
Performance |
Timeline |
Dupont De Nemours |
Kedawung Setia Industrial |
Dupont De and Kedawung Setia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dupont De and Kedawung Setia
The main advantage of trading using opposite Dupont De and Kedawung Setia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dupont De 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.Dupont De vs. Eastman Chemical | Dupont De vs. Olin Corporation | Dupont De vs. Cabot | Dupont De vs. Kronos Worldwide |
Kedawung Setia vs. Kedaung Indah Can | Kedawung Setia vs. Langgeng Makmur Industri | Kedawung Setia vs. Kabelindo Murni Tbk | Kedawung Setia vs. Mustika Ratu 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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