Correlation Between Palma Serasih and Widodo Makmur
Can any of the company-specific risk be diversified away by investing in both Palma Serasih and Widodo Makmur 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 Palma Serasih and Widodo Makmur into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Palma Serasih PT and Widodo Makmur Unggas, you can compare the effects of market volatilities on Palma Serasih and Widodo Makmur 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 Palma Serasih with a short position of Widodo Makmur. Check out your portfolio center. Please also check ongoing floating volatility patterns of Palma Serasih and Widodo Makmur.
Diversification Opportunities for Palma Serasih and Widodo Makmur
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Palma and Widodo is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Palma Serasih PT and Widodo Makmur Unggas in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Widodo Makmur Unggas and Palma Serasih 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 Palma Serasih PT are associated (or correlated) with Widodo Makmur. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Widodo Makmur Unggas has no effect on the direction of Palma Serasih i.e., Palma Serasih and Widodo Makmur go up and down completely randomly.
Pair Corralation between Palma Serasih and Widodo Makmur
Assuming the 90 days trading horizon Palma Serasih PT is expected to generate 0.44 times more return on investment than Widodo Makmur. However, Palma Serasih PT is 2.27 times less risky than Widodo Makmur. It trades about 0.18 of its potential returns per unit of risk. Widodo Makmur Unggas is currently generating about -0.03 per unit of risk. If you would invest 15,000 in Palma Serasih PT on September 17, 2024 and sell it today you would earn a total of 4,400 from holding Palma Serasih PT or generate 29.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Palma Serasih PT vs. Widodo Makmur Unggas
Performance |
Timeline |
Palma Serasih PT |
Widodo Makmur Unggas |
Palma Serasih and Widodo Makmur Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Palma Serasih and Widodo Makmur
The main advantage of trading using opposite Palma Serasih and Widodo Makmur positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palma Serasih position performs unexpectedly, Widodo Makmur 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 Widodo Makmur will offset losses from the drop in Widodo Makmur's long position.Palma Serasih vs. Mahkota Group Tbk | Palma Serasih vs. Provident Agro Tbk | Palma Serasih vs. Putra Mandiri Jembar | Palma Serasih vs. Cisadane Sawit Raya |
Widodo Makmur vs. Mahkota Group Tbk | Widodo Makmur vs. Palma Serasih PT | Widodo Makmur vs. Cisadane Sawit Raya | Widodo Makmur vs. Diamond Food Indonesia |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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