FAT Brands Correlations
| FATBP Preferred Stock | USD 2.19 0.10 4.78% |
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
Significant diversification
The correlation between FAT Brands and DJI is 0.01 (i.e., Significant 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.
FAT |
The ability to find closely correlated positions to FAT Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FAT Brands 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 FAT Brands - 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 FAT Brands to buy it.
Moving together with FAT Preferred Stock
| 0.74 | PNST | Pinstripes Holdings | PairCorr |
| 0.73 | WBUY | WEBUY GLOBAL LTD | PairCorr |
| 0.63 | HNI | HNI Corp | PairCorr |
| 0.82 | IPW | iPower Inc | PairCorr |
| 0.66 | MMA | Alta Global Group | PairCorr |
Moving against FAT Preferred Stock
| 0.73 | CYD | China Yuchai Interna | PairCorr |
| 0.61 | FIGS | Figs Inc | PairCorr |
| 0.53 | VIRC | Virco Manufacturing | PairCorr |
| 0.45 | F-PD | F PD | PairCorr |
| 0.4 | DRVN | Driven Brands Holdings | PairCorr |
| 0.4 | F-PB | Ford Motor | PairCorr |
| 0.39 | F-PC | Ford Motor | PairCorr |
| 0.32 | EFOI | Energy Focu | PairCorr |
| 0.79 | SCS | Steelcase | PairCorr |
| 0.73 | KAR | KAR Auction Services | PairCorr |
| 0.65 | MYE | Myers Industries | PairCorr |
| 0.48 | MRM | Medirom Healthcare | PairCorr |
| 0.47 | PKG | Packaging Corp | PairCorr |
| 0.38 | ROL | Rollins | PairCorr |
| 0.37 | BC-PC | Brunswick Corp | PairCorr |
| 0.36 | DSS | DSS Inc | PairCorr |
| 0.32 | BC-PA | Brunswick Corp | PairCorr |
Related Correlations Analysis
| -0.06 | -0.34 | -0.35 | -0.22 | 0.0 | FATBB | ||
| -0.06 | 0.0 | 0.23 | 0.2 | 0.0 | FAT | ||
| -0.34 | 0.0 | 0.7 | 0.49 | 0.0 | GTIM | ||
| -0.35 | 0.23 | 0.7 | 0.69 | 0.0 | NATH | ||
| -0.22 | 0.2 | 0.49 | 0.69 | 0.0 | FBIOP | ||
| 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | OTRKP | ||
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 Preferred 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| FATBB | 3.60 | 0.14 | 0.01 | (2.03) | 4.88 | 8.15 | 23.96 | |||
| FAT | 2.13 | (0.36) | 0.00 | (0.22) | 0.00 | 3.80 | 22.19 | |||
| GTIM | 2.38 | (0.09) | 0.00 | (0.07) | 0.00 | 3.80 | 27.72 | |||
| NATH | 1.55 | (0.11) | (0.03) | 0.02 | 2.17 | 3.48 | 14.36 | |||
| FBIOP | 2.77 | 0.31 | 0.05 | (0.54) | 3.00 | 8.23 | 18.83 | |||
| OTRKP | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in FAT Brands 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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FAT Brands Corporate Management
| Michael Chachula | Chief Officer | Profile | |
| CFA CFA | Ex Chairman | Profile | |
| Andrew Wiederhorn | CEO Pres | Profile | |
| Donald Berchtold | Ex Officer | Profile | |
| Robert Rosen | Ex Markets | Profile | |
| Kenneth Kuick | Chief Officer | Profile | |
| Allen JD | Exec Counsel | Profile |