Correlation Between PT Indofood and Nippon Indosari
Can any of the company-specific risk be diversified away by investing in both PT Indofood and Nippon Indosari 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 Indofood and Nippon Indosari into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Indofood Sukses and Nippon Indosari Corpindo, you can compare the effects of market volatilities on PT Indofood and Nippon Indosari 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 Indofood with a short position of Nippon Indosari. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indofood and Nippon Indosari.
Diversification Opportunities for PT Indofood and Nippon Indosari
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between INDF and Nippon is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding PT Indofood Sukses and Nippon Indosari Corpindo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nippon Indosari Corpindo and PT Indofood 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 Indofood Sukses are associated (or correlated) with Nippon Indosari. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nippon Indosari Corpindo has no effect on the direction of PT Indofood i.e., PT Indofood and Nippon Indosari go up and down completely randomly.
Pair Corralation between PT Indofood and Nippon Indosari
Assuming the 90 days trading horizon PT Indofood Sukses is expected to under-perform the Nippon Indosari. In addition to that, PT Indofood is 2.51 times more volatile than Nippon Indosari Corpindo. It trades about -0.05 of its total potential returns per unit of risk. Nippon Indosari Corpindo is currently generating about -0.06 per unit of volatility. If you would invest 97,000 in Nippon Indosari Corpindo on December 30, 2024 and sell it today you would lose (3,000) from holding Nippon Indosari Corpindo or give up 3.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Indofood Sukses vs. Nippon Indosari Corpindo
Performance |
Timeline |
PT Indofood Sukses |
Nippon Indosari Corpindo |
PT Indofood and Nippon Indosari Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Indofood and Nippon Indosari
The main advantage of trading using opposite PT Indofood and Nippon Indosari positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indofood position performs unexpectedly, Nippon Indosari 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 Nippon Indosari will offset losses from the drop in Nippon Indosari's long position.PT Indofood vs. Astra International Tbk | PT Indofood vs. Unilever Indonesia Tbk | PT Indofood vs. Telkom Indonesia Tbk | PT Indofood vs. Bank Mandiri Persero |
Nippon Indosari vs. Mayora Indah Tbk | Nippon Indosari vs. Ultra Jaya Milk | Nippon Indosari vs. Mitra Adiperkasa Tbk | Nippon Indosari vs. FKS Food Sejahtera |
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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