Correlation Between Indofood Cbp and Matahari Department
Can any of the company-specific risk be diversified away by investing in both Indofood Cbp and Matahari Department 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 Indofood Cbp and Matahari Department into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indofood Cbp Sukses and Matahari Department Store, you can compare the effects of market volatilities on Indofood Cbp and Matahari Department 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 Indofood Cbp with a short position of Matahari Department. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indofood Cbp and Matahari Department.
Diversification Opportunities for Indofood Cbp and Matahari Department
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Indofood and Matahari is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Indofood Cbp Sukses and Matahari Department Store in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matahari Department Store and Indofood Cbp 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 Indofood Cbp Sukses are associated (or correlated) with Matahari Department. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matahari Department Store has no effect on the direction of Indofood Cbp i.e., Indofood Cbp and Matahari Department go up and down completely randomly.
Pair Corralation between Indofood Cbp and Matahari Department
Assuming the 90 days trading horizon Indofood Cbp Sukses is expected to generate 0.88 times more return on investment than Matahari Department. However, Indofood Cbp Sukses is 1.14 times less risky than Matahari Department. It trades about 0.04 of its potential returns per unit of risk. Matahari Department Store is currently generating about -0.14 per unit of risk. If you would invest 1,140,000 in Indofood Cbp Sukses on September 4, 2024 and sell it today you would earn a total of 40,000 from holding Indofood Cbp Sukses or generate 3.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Indofood Cbp Sukses vs. Matahari Department Store
Performance |
Timeline |
Indofood Cbp Sukses |
Matahari Department Store |
Indofood Cbp and Matahari Department Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indofood Cbp and Matahari Department
The main advantage of trading using opposite Indofood Cbp and Matahari Department positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indofood Cbp position performs unexpectedly, Matahari Department 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 Matahari Department will offset losses from the drop in Matahari Department's long position.Indofood Cbp vs. Unilever Indonesia Tbk | Indofood Cbp vs. PT Indofood Sukses | Indofood Cbp vs. Astra International Tbk | Indofood Cbp vs. Telkom Indonesia Tbk |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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