Correlation Between Sawit Sumbermas and Prodia Widyahusada
Can any of the company-specific risk be diversified away by investing in both Sawit Sumbermas and Prodia Widyahusada 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 Sawit Sumbermas and Prodia Widyahusada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sawit Sumbermas Sarana and Prodia Widyahusada Tbk, you can compare the effects of market volatilities on Sawit Sumbermas and Prodia Widyahusada 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 Sawit Sumbermas with a short position of Prodia Widyahusada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sawit Sumbermas and Prodia Widyahusada.
Diversification Opportunities for Sawit Sumbermas and Prodia Widyahusada
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sawit and Prodia is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Sawit Sumbermas Sarana and Prodia Widyahusada Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prodia Widyahusada Tbk and Sawit Sumbermas 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 Sawit Sumbermas Sarana are associated (or correlated) with Prodia Widyahusada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prodia Widyahusada Tbk has no effect on the direction of Sawit Sumbermas i.e., Sawit Sumbermas and Prodia Widyahusada go up and down completely randomly.
Pair Corralation between Sawit Sumbermas and Prodia Widyahusada
Assuming the 90 days trading horizon Sawit Sumbermas Sarana is expected to generate 3.12 times more return on investment than Prodia Widyahusada. However, Sawit Sumbermas is 3.12 times more volatile than Prodia Widyahusada Tbk. It trades about 0.01 of its potential returns per unit of risk. Prodia Widyahusada Tbk is currently generating about -0.14 per unit of risk. If you would invest 108,000 in Sawit Sumbermas Sarana on September 12, 2024 and sell it today you would lose (3,500) from holding Sawit Sumbermas Sarana or give up 3.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Sawit Sumbermas Sarana vs. Prodia Widyahusada Tbk
Performance |
Timeline |
Sawit Sumbermas Sarana |
Prodia Widyahusada Tbk |
Sawit Sumbermas and Prodia Widyahusada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sawit Sumbermas and Prodia Widyahusada
The main advantage of trading using opposite Sawit Sumbermas and Prodia Widyahusada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sawit Sumbermas position performs unexpectedly, Prodia Widyahusada 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 Prodia Widyahusada will offset losses from the drop in Prodia Widyahusada's long position.Sawit Sumbermas vs. Austindo Nusantara Jaya | Sawit Sumbermas vs. Garudafood Putra Putri | Sawit Sumbermas vs. Provident Agro Tbk | Sawit Sumbermas vs. Dharma Satya Nusantara |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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