Fat Brands Preferred Stock Price Prediction
| FATBP Preferred Stock | USD 0.50 0.21 29.58% |
Momentum 58
Buy Extended
Oversold | Overbought |
Using FAT Brands hype-based prediction, you can estimate the value of FAT Brands from the perspective of FAT Brands response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in FAT Brands to buy its preferred stock at a price that has no basis in reality. In that case, they are not buying FAT because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell preferred stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
FAT Brands after-hype prediction price | USD 0.5 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as preferred stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
FAT |
FAT Brands After-Hype Price Density Analysis
As far as predicting the price of FAT Brands at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in FAT Brands or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Preferred Stock prices, such as prices of FAT Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FAT Brands Estimiated After-Hype Price Volatility
In the context of predicting FAT Brands' preferred stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FAT Brands' historical news coverage. FAT Brands' after-hype downside and upside margins for the prediction period are 0.03 and 10.54, respectively. We have considered FAT Brands' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
FAT Brands is out of control at this time. Analysis and calculation of next after-hype price of FAT Brands is based on 3 months time horizon.
FAT Brands Preferred Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as FAT Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FAT Brands backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Preferred Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with FAT Brands, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
1.95 | 10.04 | 0.10 | 0.04 | 29 Events / Month | 7 Events / Month | In about 29 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.50 | 0.50 | 0.00 |
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FAT Brands Hype Timeline
FAT Brands is currently traded for 0.50. The entity has historical hype elasticity of 0.1, and average elasticity to hype of competition of -0.04. FAT is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at -1.95%. %. The volatility of related hype on FAT Brands is about 47809.52%, with the expected price after the next announcement by competition of 0.46. The company recorded a loss per share of 3.36. FAT Brands last dividend was issued on the 9th of February 2023. Assuming the 90 days horizon the next forecasted press release will be in about 29 days. Check out FAT Brands Basic Forecasting Models to cross-verify your projections. To learn how to invest in FAT Preferred Stock, please use our How to Invest in FAT Brands guide.FAT Brands Related Hype Analysis
Having access to credible news sources related to FAT Brands' direct competition is more important than ever and may enhance your ability to predict FAT Brands' future price movements. Getting to know how FAT Brands' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how FAT Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NDLS | Noodles Company | 0.04 | 11 per month | 0.00 | (0.03) | 11.11 | (8.45) | 27.57 | |
| RAVE | Rave Restaurant Group | 0.05 | 3 per month | 2.73 | 0.1 | 4.63 | (3.69) | 23.89 | |
| LESL | Leslies | 0.07 | 7 per month | 0.00 | (0.20) | 9.06 | (10.32) | 42.31 | |
| TBHC | The Brand House | (0.02) | 6 per month | 0.00 | (0.14) | 5.79 | (6.52) | 14.73 | |
| ARKR | Ark Restaurants Corp | 0.18 | 8 per month | 0.00 | (0.07) | 2.99 | (3.35) | 12.34 | |
| NTZ | Natuzzi SpA | (0.13) | 10 per month | 0.00 | (0.03) | 10.37 | (7.42) | 25.04 | |
| WPRT | Westport Fuel Systems | 0.01 | 9 per month | 2.55 | 0.01 | 6.33 | (4.94) | 18.19 | |
| ISPO | Inspirato | 0.04 | 6 per month | 1.21 | 0.11 | 6.32 | (3.14) | 47.07 | |
| MKDW | MKDWELL Tech Ordinary | (0.48) | 6 per month | 0.00 | (0.15) | 7.64 | (8.90) | 36.75 | |
| LITB | LightInTheBox Holding Co | 0.03 | 6 per month | 0.00 | (0.04) | 10.87 | (9.79) | 28.17 |
FAT Brands Additional Predictive Modules
Most predictive techniques to examine FAT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FAT using various technical 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About FAT Brands Predictive Indicators
The successful prediction of FAT Brands stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as FAT Brands, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of FAT Brands based on analysis of FAT Brands hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to FAT Brands's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to FAT Brands's related companies.
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
Moving against FAT Preferred Stock
| 0.82 | YUMC | Yum China Holdings | PairCorr |
| 0.63 | YUM | Yum Brands Earnings Call This Week | PairCorr |
| 0.58 | MCD | McDonalds | PairCorr |
| 0.56 | QSR | Restaurant Brands Sell-off Trend | PairCorr |
| 0.5 | DRI | Darden Restaurants | PairCorr |
| 0.47 | CMG | Chipotle Mexican Grill | PairCorr |
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 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.