Fast Food Correlations
| FAST Stock | IDR 324.00 2.00 0.62% |
The current 90-days correlation between Fast Food Indonesia and Hero Supermarket Tbk is -0.17 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fast Food moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fast Food Indonesia moves in either direction, the perfectly negatively correlated security will move in the opposite direction.
Fast Food Correlation With Market
Very good diversification
The correlation between Fast Food Indonesia and DJI is -0.34 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Fast Food Indonesia and DJI in the same portfolio, assuming nothing else is changed.
Fast |
The ability to find closely correlated positions to Fast Food could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fast Food when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fast Food - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fast Food Indonesia to buy it.
Moving together with Fast Stock
| 0.65 | BBCA | Bank Central Asia | PairCorr |
| 0.86 | BBRI | Bank Rakyat Indonesia | PairCorr |
| 0.91 | BMRI | Bank Mandiri Persero | PairCorr |
| 0.95 | TPIA | Chandra Asri Petroch | PairCorr |
| 0.86 | BBNI | Bank Negara Indonesia | PairCorr |
| 0.9 | UNVR | Unilever Indonesia Tbk | PairCorr |
| 0.75 | HMSP | Hanjaya Mandala Sampoerna | PairCorr |
Moving against Fast Stock
Related Correlations Analysis
| -0.28 | 0.77 | -0.44 | 0.29 | HERO | ||
| -0.28 | -0.28 | 0.36 | 0.17 | DNET | ||
| 0.77 | -0.28 | -0.45 | 0.25 | EPMT | ||
| -0.44 | 0.36 | -0.45 | 0.51 | FISH | ||
| 0.29 | 0.17 | 0.25 | 0.51 | BAYU | ||
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Fast Stock performing well and Fast Food Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Fast Food's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| HERO | 1.72 | (0.24) | 0.00 | 35.90 | 0.00 | 4.72 | 12.01 | |||
| DNET | 2.48 | 1.05 | 0.17 | (1.75) | 1.99 | 19.68 | 34.93 | |||
| EPMT | 0.49 | (0.08) | 0.00 | (10.44) | 0.00 | 0.83 | 3.23 | |||
| FISH | 1.94 | 0.68 | 0.16 | (1.49) | 1.45 | 7.27 | 16.88 | |||
| BAYU | 0.79 | (0.02) | 0.00 | 0.18 | 0.00 | 2.03 | 6.66 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Fast Food without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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