Fat Brands Stock Statistic Functions Beta
| FAT Stock | USD 5.37 0.01 0.19% |
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The output start index for this execution was thirty with a total number of output elements of thirty-one. The Beta measures systematic risk based on how returns on FAT Brands correlated with the market. If Beta is less than 0 FAT Brands generally moves in the opposite direction as compared to the market. If FAT Brands Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one FAT Brands is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of FAT Brands is generally in the same direction as the market. If Beta > 1 FAT Brands moves generally in the same direction as, but more than the movement of the benchmark.
FAT Brands Technical Analysis Modules
Most technical analysis of FAT Brands help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for FAT from various momentum indicators to cycle indicators. When you analyze FAT charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About FAT Brands Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of FAT Brands. We use our internally-developed statistical techniques to arrive at the intrinsic value of FAT Brands based on widely used predictive technical indicators. In general, we focus on analyzing FAT Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build FAT Brands's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of FAT Brands's intrinsic value. In addition to deriving basic predictive indicators for FAT Brands, we also check how macroeconomic factors affect FAT Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 (projected) | Dividend Yield | 0.16 | 0.15 | Price To Sales Ratio | 0.21 | 0.24 |
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FAT Brands pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if FAT Brands position performs unexpectedly, the other equity 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 FAT Brands will appreciate offsetting losses from the drop in the long position's value.FAT Brands Pair Trading
FAT Brands Pair Trading Analysis
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.
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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as FAT Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FAT Brands moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for FAT Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for FAT Stock Analysis
When running FAT Brands' price analysis, check to measure FAT Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy FAT Brands is operating at the current time. Most of FAT Brands' value examination focuses on studying past and present price action to predict the probability of FAT Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FAT Brands' price. Additionally, you may evaluate how the addition of FAT Brands to your portfolios can decrease your overall portfolio volatility.