FAT Brands Earnings Estimate

FAT Brands Earnings per Share Projection vs Actual

About FAT Brands Earnings Estimate

The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of FAT Brands earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current FAT Brands estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as FAT Brands fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
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FAT Brands Inc., a multi-brand franchising company, acquires, develops, and manages quick service, fast casual, casual dining, and polished casual dining restaurant concepts worldwide. FAT Brands Inc. operates as a subsidiary of Fog Cutter Holdings, LLC. Fat Brands operates under Restaurants classification in the United States and is traded on NASDAQ Exchange. It employs 1100 people.

Pair Trading with FAT Brands

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.

Moving together with FAT Preferred Stock

  0.67GTIM Good Times RestaurantsPairCorr

Moving against FAT Preferred Stock

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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.
Pair CorrelationCorrelation Matching

Additional Tools for FAT Preferred 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.