Correlation Between Sawit Sumbermas and Siloam International
Can any of the company-specific risk be diversified away by investing in both Sawit Sumbermas and Siloam International 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 Siloam International 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 Siloam International Hospitals, you can compare the effects of market volatilities on Sawit Sumbermas and Siloam International 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 Siloam International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sawit Sumbermas and Siloam International.
Diversification Opportunities for Sawit Sumbermas and Siloam International
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sawit and Siloam is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Sawit Sumbermas Sarana and Siloam International Hospitals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siloam International 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 Siloam International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siloam International has no effect on the direction of Sawit Sumbermas i.e., Sawit Sumbermas and Siloam International go up and down completely randomly.
Pair Corralation between Sawit Sumbermas and Siloam International
Assuming the 90 days trading horizon Sawit Sumbermas is expected to generate 99.69 times less return on investment than Siloam International. But when comparing it to its historical volatility, Sawit Sumbermas Sarana is 1.94 times less risky than Siloam International. It trades about 0.0 of its potential returns per unit of risk. Siloam International Hospitals is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 308,000 in Siloam International Hospitals on September 3, 2024 and sell it today you would earn a total of 7,000 from holding Siloam International Hospitals or generate 2.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sawit Sumbermas Sarana vs. Siloam International Hospitals
Performance |
Timeline |
Sawit Sumbermas Sarana |
Siloam International |
Sawit Sumbermas and Siloam International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sawit Sumbermas and Siloam International
The main advantage of trading using opposite Sawit Sumbermas and Siloam International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sawit Sumbermas position performs unexpectedly, Siloam International 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 Siloam International will offset losses from the drop in Siloam International's long position.Sawit Sumbermas vs. Astra International Tbk | Sawit Sumbermas vs. Unilever Indonesia Tbk | Sawit Sumbermas vs. Telkom Indonesia Tbk | Sawit Sumbermas vs. Bank Mandiri Persero |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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