Restaurant Brands (Germany) Price Prediction
| 0R6 Stock | EUR 62.82 0.04 0.06% |
Oversold Vs Overbought
47
Oversold | Overbought |
Using Restaurant Brands hype-based prediction, you can estimate the value of Restaurant Brands International from the perspective of Restaurant 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 Restaurant Brands to buy its stock at a price that has no basis in reality. In that case, they are not buying Restaurant 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Restaurant Brands after-hype prediction price | EUR 62.82 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Restaurant |
Restaurant Brands After-Hype Price Prediction Density Analysis
As far as predicting the price of Restaurant 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 Restaurant 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 Stock prices, such as prices of Restaurant Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Restaurant Brands Estimiated After-Hype Price Volatility
In the context of predicting Restaurant Brands' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Restaurant Brands' historical news coverage. Restaurant Brands' after-hype downside and upside margins for the prediction period are 61.52 and 64.12, respectively. We have considered Restaurant 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
Restaurant Brands is very steady at this time. Analysis and calculation of next after-hype price of Restaurant Brands is based on 3 months time horizon.
Restaurant Brands Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Restaurant Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Restaurant 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 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 Restaurant 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 |
0.00 | 1.31 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
62.82 | 62.82 | 0.00 |
|
Restaurant Brands Hype Timeline
Restaurant Brands is presently traded for 62.82on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Restaurant is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is presently at 0.0%. %. The volatility of related hype on Restaurant Brands is about 0.0%, with the expected price after the next announcement by competition of 62.82. About 87.0% of the company shares are owned by institutions such as pension funds. The company has Price/Earnings To Growth (PEG) ratio of 2.02. Restaurant Brands last dividend was issued on the 21st of March 2023. Assuming the 90 days horizon the next estimated press release will be in 5 to 10 days. Check out Restaurant Brands Basic Forecasting Models to cross-verify your projections.Restaurant Brands Related Hype Analysis
Having access to credible news sources related to Restaurant Brands' direct competition is more important than ever and may enhance your ability to predict Restaurant Brands' future price movements. Getting to know how Restaurant 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 Restaurant Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MDO | McDonalds | 0.00 | 0 per month | 1.31 | 0.07 | 1.37 | (2.44) | 6.68 | |
| SRB | Starbucks | 0.00 | 0 per month | 0.00 | (0.03) | 1.82 | (1.92) | 8.41 | |
| SRB | Starbucks | 0.00 | 0 per month | 0.00 | (0.03) | 1.86 | (1.80) | 8.01 | |
| XGR2 | Compass Group PLC | 0.00 | 0 per month | 0.99 | 0.09 | 2.25 | (1.63) | 7.68 | |
| TGR | Yum Brands | 0.00 | 0 per month | 0.86 | 0.07 | 2.27 | (1.56) | 5.48 | |
| XGR | COMPASS GROUP | 0.00 | 0 per month | 0.93 | 0.10 | 2.16 | (1.44) | 6.96 | |
| 0R6 | Restaurant Brands International | 0.00 | 0 per month | 1.43 | (0.02) | 2.21 | (2.51) | 5.54 | |
| 0YU | Yum China Holdings | 0.00 | 0 per month | 1.88 | 0.20 | 5.97 | (4.30) | 16.43 | |
| DDN | Darden Restaurants | 0.00 | 0 per month | 1.14 | 0.08 | 4.01 | (2.35) | 11.38 |
Restaurant Brands Additional Predictive Modules
Most predictive techniques to examine Restaurant price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Restaurant using various technical indicators. When you analyze Restaurant 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 Restaurant Brands Predictive Indicators
The successful prediction of Restaurant 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 Restaurant Brands International, 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 Restaurant Brands based on analysis of Restaurant Brands hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Restaurant Brands's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Restaurant Brands's related companies.
Story Coverage note for Restaurant Brands
The number of cover stories for Restaurant Brands depends on current market conditions and Restaurant Brands' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Restaurant Brands is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Restaurant Brands' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Restaurant Brands Short Properties
Restaurant Brands' future price predictability will typically decrease when Restaurant Brands' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Restaurant Brands International often depends not only on the future outlook of the potential Restaurant Brands' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Restaurant Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 307.1 M |
Complementary Tools for Restaurant Stock analysis
When running Restaurant Brands' price analysis, check to measure Restaurant 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 Restaurant Brands is operating at the current time. Most of Restaurant Brands' value examination focuses on studying past and present price action to predict the probability of Restaurant Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Restaurant Brands' price. Additionally, you may evaluate how the addition of Restaurant Brands to your portfolios can decrease your overall portfolio volatility.
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |