Correlation Between Metrodata Electronics and Indofood Cbp
Can any of the company-specific risk be diversified away by investing in both Metrodata Electronics and Indofood Cbp 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 Metrodata Electronics and Indofood Cbp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metrodata Electronics Tbk and Indofood Cbp Sukses, you can compare the effects of market volatilities on Metrodata Electronics and Indofood Cbp 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 Metrodata Electronics with a short position of Indofood Cbp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metrodata Electronics and Indofood Cbp.
Diversification Opportunities for Metrodata Electronics and Indofood Cbp
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Metrodata and Indofood is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Metrodata Electronics Tbk and Indofood Cbp Sukses in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indofood Cbp Sukses and Metrodata Electronics 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 Metrodata Electronics Tbk are associated (or correlated) with Indofood Cbp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indofood Cbp Sukses has no effect on the direction of Metrodata Electronics i.e., Metrodata Electronics and Indofood Cbp go up and down completely randomly.
Pair Corralation between Metrodata Electronics and Indofood Cbp
Assuming the 90 days trading horizon Metrodata Electronics Tbk is expected to under-perform the Indofood Cbp. In addition to that, Metrodata Electronics is 1.21 times more volatile than Indofood Cbp Sukses. It trades about -0.07 of its total potential returns per unit of risk. Indofood Cbp Sukses is currently generating about -0.08 per unit of volatility. If you would invest 1,137,500 in Indofood Cbp Sukses on December 30, 2024 and sell it today you would lose (120,000) from holding Indofood Cbp Sukses or give up 10.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Metrodata Electronics Tbk vs. Indofood Cbp Sukses
Performance |
Timeline |
Metrodata Electronics Tbk |
Indofood Cbp Sukses |
Metrodata Electronics and Indofood Cbp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metrodata Electronics and Indofood Cbp
The main advantage of trading using opposite Metrodata Electronics and Indofood Cbp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metrodata Electronics position performs unexpectedly, Indofood Cbp 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 Indofood Cbp will offset losses from the drop in Indofood Cbp's long position.Metrodata Electronics vs. Multipolar Tbk | Metrodata Electronics vs. Astra Graphia Tbk | Metrodata Electronics vs. Matahari Putra Prima | Metrodata Electronics vs. Ramayana Lestari Sentosa |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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