Correlation Between Fast Food and Graha Layar
Can any of the company-specific risk be diversified away by investing in both Fast Food and Graha Layar 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 Graha Layar 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 Graha Layar Prima, you can compare the effects of market volatilities on Fast Food and Graha Layar 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 Graha Layar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Food and Graha Layar.
Diversification Opportunities for Fast Food and Graha Layar
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fast and Graha is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Fast Food Indonesia and Graha Layar Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graha Layar Prima 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 Graha Layar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graha Layar Prima has no effect on the direction of Fast Food i.e., Fast Food and Graha Layar go up and down completely randomly.
Pair Corralation between Fast Food and Graha Layar
Assuming the 90 days trading horizon Fast Food Indonesia is expected to under-perform the Graha Layar. In addition to that, Fast Food is 1.78 times more volatile than Graha Layar Prima. It trades about -0.25 of its total potential returns per unit of risk. Graha Layar Prima is currently generating about 0.05 per unit of volatility. If you would invest 192,500 in Graha Layar Prima on September 14, 2024 and sell it today you would earn a total of 7,500 from holding Graha Layar Prima or generate 3.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Food Indonesia vs. Graha Layar Prima
Performance |
Timeline |
Fast Food Indonesia |
Graha Layar Prima |
Fast Food and Graha Layar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Food and Graha Layar
The main advantage of trading using opposite Fast Food and Graha Layar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Food position performs unexpectedly, Graha Layar 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 Graha Layar will offset losses from the drop in Graha Layar's long position.Fast Food vs. Pembangunan Graha Lestari | Fast Food vs. Pembangunan Jaya Ancol | Fast Food vs. Hotel Sahid Jaya | Fast Food vs. Mitrabara Adiperdana PT |
Graha Layar vs. Electronic City Indonesia | Graha Layar vs. Bayu Buana Tbk | Graha Layar vs. Bintang Oto Global | Graha Layar vs. Garuda Metalindo 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |