Correlation Between Dharma Satya and PT Sreeya
Can any of the company-specific risk be diversified away by investing in both Dharma Satya and PT Sreeya 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 PT Sreeya 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 PT Sreeya Sewu, you can compare the effects of market volatilities on Dharma Satya and PT Sreeya 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 PT Sreeya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dharma Satya and PT Sreeya.
Diversification Opportunities for Dharma Satya and PT Sreeya
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dharma and SIPD is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Dharma Satya Nusantara and PT Sreeya Sewu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Sreeya Sewu 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 PT Sreeya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Sreeya Sewu has no effect on the direction of Dharma Satya i.e., Dharma Satya and PT Sreeya go up and down completely randomly.
Pair Corralation between Dharma Satya and PT Sreeya
Assuming the 90 days trading horizon Dharma Satya Nusantara is expected to generate 1.56 times more return on investment than PT Sreeya. However, Dharma Satya is 1.56 times more volatile than PT Sreeya Sewu. It trades about 0.11 of its potential returns per unit of risk. PT Sreeya Sewu is currently generating about -0.07 per unit of risk. If you would invest 84,000 in Dharma Satya Nusantara on September 13, 2024 and sell it today you would earn a total of 21,500 from holding Dharma Satya Nusantara or generate 25.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dharma Satya Nusantara vs. PT Sreeya Sewu
Performance |
Timeline |
Dharma Satya Nusantara |
PT Sreeya Sewu |
Dharma Satya and PT Sreeya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dharma Satya and PT Sreeya
The main advantage of trading using opposite Dharma Satya and PT Sreeya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dharma Satya position performs unexpectedly, PT Sreeya 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 PT Sreeya will offset losses from the drop in PT Sreeya's long position.Dharma Satya vs. Salim Ivomas Pratama | Dharma Satya vs. Sawit Sumbermas Sarana | Dharma Satya vs. Austindo Nusantara Jaya | Dharma Satya vs. Eagle High Plantations |
PT Sreeya vs. Central Proteina Prima | PT Sreeya vs. Kawasan Industri Jababeka | PT Sreeya vs. Tunas Baru Lampung | PT Sreeya vs. Slj Global 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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