Restaurant Brands International Stock Statistic Functions Beta
| QSP-UN Stock | CAD 97.31 0.07 0.07% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Restaurant Brands correlated with the market. If Beta is less than 0 Restaurant Brands generally moves in the opposite direction as compared to the market. If Restaurant Brands Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Restaurant Brands is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Restaurant Brands is generally in the same direction as the market. If Beta > 1 Restaurant Brands moves generally in the same direction as, but more than the movement of the benchmark.
Restaurant Brands Technical Analysis Modules
Most technical analysis of Restaurant 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 Restaurant from various momentum indicators to cycle 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 | ||
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About Restaurant 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 Restaurant Brands International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Restaurant Brands International based on widely used predictive technical indicators. In general, we focus on analyzing Restaurant Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Restaurant 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 Restaurant Brands's intrinsic value. In addition to deriving basic predictive indicators for Restaurant Brands, we also check how macroeconomic factors affect Restaurant Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2023 | 2024 (projected) | Dividend Yield | 0.0513 | 0.0406 | 0.029 | Price To Sales Ratio | 3.28 | 3.47 | 5.2 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Restaurant Brands' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Restaurant Brands International. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.