Correlation Between PT Wahana and Garudafood Putra
Can any of the company-specific risk be diversified away by investing in both PT Wahana and Garudafood Putra 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 Garudafood Putra 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 Garudafood Putra Putri, you can compare the effects of market volatilities on PT Wahana and Garudafood Putra 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 Garudafood Putra. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Wahana and Garudafood Putra.
Diversification Opportunities for PT Wahana and Garudafood Putra
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between COCO and Garudafood is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding PT Wahana Interfood and Garudafood Putra Putri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Garudafood Putra Putri 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 Garudafood Putra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Garudafood Putra Putri has no effect on the direction of PT Wahana i.e., PT Wahana and Garudafood Putra go up and down completely randomly.
Pair Corralation between PT Wahana and Garudafood Putra
Assuming the 90 days trading horizon PT Wahana Interfood is expected to under-perform the Garudafood Putra. But the stock apears to be less risky and, when comparing its historical volatility, PT Wahana Interfood is 1.32 times less risky than Garudafood Putra. The stock trades about -0.1 of its potential returns per unit of risk. The Garudafood Putra Putri is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 37,600 in Garudafood Putra Putri on September 17, 2024 and sell it today you would earn a total of 2,600 from holding Garudafood Putra Putri or generate 6.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Wahana Interfood vs. Garudafood Putra Putri
Performance |
Timeline |
PT Wahana Interfood |
Garudafood Putra Putri |
PT Wahana and Garudafood Putra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Wahana and Garudafood Putra
The main advantage of trading using opposite PT Wahana and Garudafood Putra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Wahana position performs unexpectedly, Garudafood Putra 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 Garudafood Putra will offset losses from the drop in Garudafood Putra'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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