Correlation Between Fast Food and Hero Supermarket
Can any of the company-specific risk be diversified away by investing in both Fast Food and Hero Supermarket 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 Fast Food and Hero Supermarket into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Food Indonesia and Hero Supermarket Tbk, you can compare the effects of market volatilities on Fast Food and Hero Supermarket 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 Fast Food with a short position of Hero Supermarket. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Food and Hero Supermarket.
Diversification Opportunities for Fast Food and Hero Supermarket
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Fast and Hero is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Fast Food Indonesia and Hero Supermarket Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hero Supermarket Tbk and Fast Food 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 Fast Food Indonesia are associated (or correlated) with Hero Supermarket. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hero Supermarket Tbk has no effect on the direction of Fast Food i.e., Fast Food and Hero Supermarket go up and down completely randomly.
Pair Corralation between Fast Food and Hero Supermarket
Assuming the 90 days trading horizon Fast Food Indonesia is expected to under-perform the Hero Supermarket. In addition to that, Fast Food is 1.89 times more volatile than Hero Supermarket Tbk. It trades about -0.11 of its total potential returns per unit of risk. Hero Supermarket Tbk is currently generating about -0.15 per unit of volatility. If you would invest 56,500 in Hero Supermarket Tbk on December 29, 2024 and sell it today you would lose (13,500) from holding Hero Supermarket Tbk or give up 23.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Food Indonesia vs. Hero Supermarket Tbk
Performance |
Timeline |
Fast Food Indonesia |
Hero Supermarket Tbk |
Fast Food and Hero Supermarket Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Food and Hero Supermarket
The main advantage of trading using opposite Fast Food and Hero Supermarket positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Food position performs unexpectedly, Hero Supermarket 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 Hero Supermarket will offset losses from the drop in Hero Supermarket's long position.Fast Food vs. Hero Supermarket Tbk | Fast Food vs. Indoritel Makmur Internasional | Fast Food vs. Enseval Putra Megatrading | Fast Food vs. Fks Multi Agro |
Hero Supermarket vs. Fast Food Indonesia | Hero Supermarket vs. Enseval Putra Megatrading | Hero Supermarket vs. Matahari Putra Prima | Hero Supermarket vs. Hexindo Adiperkasa Tbk |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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