FAT Brands Correlations
| FAT Stock | USD 0.16 0.01 6.67% |
The current 90-days correlation between FAT Brands and Noodles Company is 0.05 (i.e., Significant diversification). The correlation of FAT Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
FAT Brands Correlation With Market
Very good diversification
The correlation between FAT Brands and DJI is -0.37 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding FAT Brands and DJI in the same portfolio, assuming nothing else is changed.
Moving against FAT Stock
| 0.5 | BET | Betmakers Technology | PairCorr |
| 0.39 | GH | Gamehost | PairCorr |
| 0.38 | AGI | Ainsworth Game Technology | PairCorr |
| 0.37 | RAVE | Rave Restaurant Group | PairCorr |
| 0.33 | DRI | Darden Restaurants | PairCorr |
| 0.31 | SBUX | Starbucks | PairCorr |
| 0.45 | GE | GE Aerospace Sell-off Trend | PairCorr |
| 0.42 | DIS | Walt Disney | PairCorr |
| 0.42 | DD | Dupont De Nemours | PairCorr |
| 0.4 | XOM | Exxon Mobil Corp Aggressive Push | PairCorr |
Related Correlations Analysis
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 FAT Stock performing well and FAT Brands 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 FAT Brands' 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| NDLS | 4.25 | (0.60) | 0.00 | (0.21) | 0.00 | 9.23 | 34.13 | |||
| RAVE | 1.89 | 0.21 | 0.06 | 0.48 | 2.69 | 3.88 | 13.71 | |||
| REE | 3.57 | (0.41) | 0.00 | (0.69) | 0.00 | 8.00 | 25.96 | |||
| LESL | 4.95 | (1.41) | 0.00 | (0.47) | 0.00 | 9.20 | 42.31 | |||
| ARKR | 1.72 | (0.08) | 0.00 | (0.03) | 0.00 | 4.12 | 12.34 | |||
| NTZ | 3.91 | 0.39 | 0.06 | 1.73 | 4.27 | 10.37 | 25.04 | |||
| MKDW | 4.24 | (1.20) | 0.00 | 10.38 | 0.00 | 7.25 | 36.75 | |||
| CDRO | 1.64 | 0.56 | 0.35 | 1.83 | 0.91 | 5.98 | 14.50 | |||
| PFAI | 3.63 | (0.12) | 0.00 | (1.00) | 0.00 | 6.97 | 31.90 | |||
| LITB | 4.09 | (0.25) | 0.00 | (0.06) | 0.00 | 11.46 | 28.17 |
FAT Brands Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with FAT Brands stock to make a market-neutral strategy. Peer analysis of FAT Brands could also be used in its relative valuation, which is a method of valuing FAT Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |