Correlation Between Dharma Satya and Gudang Garam
Can any of the company-specific risk be diversified away by investing in both Dharma Satya and Gudang Garam 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 Dharma Satya and Gudang Garam into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dharma Satya Nusantara and Gudang Garam Tbk, you can compare the effects of market volatilities on Dharma Satya and Gudang Garam 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 Dharma Satya with a short position of Gudang Garam. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dharma Satya and Gudang Garam.
Diversification Opportunities for Dharma Satya and Gudang Garam
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Dharma and Gudang is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Dharma Satya Nusantara and Gudang Garam Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gudang Garam Tbk and Dharma Satya 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 Dharma Satya Nusantara are associated (or correlated) with Gudang Garam. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gudang Garam Tbk has no effect on the direction of Dharma Satya i.e., Dharma Satya and Gudang Garam go up and down completely randomly.
Pair Corralation between Dharma Satya and Gudang Garam
Assuming the 90 days trading horizon Dharma Satya Nusantara is expected to generate 2.39 times more return on investment than Gudang Garam. However, Dharma Satya is 2.39 times more volatile than Gudang Garam Tbk. It trades about 0.16 of its potential returns per unit of risk. Gudang Garam Tbk is currently generating about -0.13 per unit of risk. If you would invest 84,000 in Dharma Satya Nusantara on September 12, 2024 and sell it today you would earn a total of 34,500 from holding Dharma Satya Nusantara or generate 41.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dharma Satya Nusantara vs. Gudang Garam Tbk
Performance |
Timeline |
Dharma Satya Nusantara |
Gudang Garam Tbk |
Dharma Satya and Gudang Garam Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dharma Satya and Gudang Garam
The main advantage of trading using opposite Dharma Satya and Gudang Garam positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dharma Satya position performs unexpectedly, Gudang Garam 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 Gudang Garam will offset losses from the drop in Gudang Garam's long position.Dharma Satya vs. Austindo Nusantara Jaya | Dharma Satya vs. Garudafood Putra Putri | Dharma Satya vs. Provident Agro Tbk | Dharma Satya vs. Sawit Sumbermas Sarana |
Gudang Garam vs. Austindo Nusantara Jaya | Gudang Garam vs. Garudafood Putra Putri | Gudang Garam vs. Provident Agro Tbk | Gudang Garam vs. Dharma Satya Nusantara |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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