Correlation Between PT Wahana and Siloam International
Can any of the company-specific risk be diversified away by investing in both PT Wahana 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 PT Wahana and Siloam International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Wahana Interfood and Siloam International Hospitals, you can compare the effects of market volatilities on PT Wahana 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 PT Wahana with a short position of Siloam International. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Wahana and Siloam International.
Diversification Opportunities for PT Wahana and Siloam International
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between COCO and Siloam is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding PT Wahana Interfood and Siloam International Hospitals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siloam International and PT Wahana 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 PT Wahana Interfood 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 PT Wahana i.e., PT Wahana and Siloam International go up and down completely randomly.
Pair Corralation between PT Wahana and Siloam International
Assuming the 90 days trading horizon PT Wahana Interfood is expected to generate 3.02 times more return on investment than Siloam International. However, PT Wahana is 3.02 times more volatile than Siloam International Hospitals. It trades about -0.01 of its potential returns per unit of risk. Siloam International Hospitals is currently generating about -0.22 per unit of risk. If you would invest 8,200 in PT Wahana Interfood on December 30, 2024 and sell it today you would lose (800.00) from holding PT Wahana Interfood or give up 9.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Wahana Interfood vs. Siloam International Hospitals
Performance |
Timeline |
PT Wahana Interfood |
Siloam International |
PT Wahana and Siloam International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Wahana and Siloam International
The main advantage of trading using opposite PT Wahana and Siloam International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Wahana 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.PT Wahana vs. Garudafood Putra Putri | PT Wahana vs. Sentra Food Indonesia | PT Wahana vs. Campina Ice Cream | PT Wahana vs. Diamond Food Indonesia |
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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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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