InterContinental (UK) Statistic Functions Beta
| IHG Stock | 9,918 160.00 1.64% |
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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on InterContinental Hotels correlated with the market. If Beta is less than 0 InterContinental generally moves in the opposite direction as compared to the market. If InterContinental Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one InterContinental Hotels is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of InterContinental is generally in the same direction as the market. If Beta > 1 InterContinental moves generally in the same direction as, but more than the movement of the benchmark.
InterContinental Technical Analysis Modules
Most technical analysis of InterContinental 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 InterContinental from various momentum indicators to cycle indicators. When you analyze InterContinental 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 InterContinental 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 InterContinental Hotels Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of InterContinental Hotels Group based on widely used predictive technical indicators. In general, we focus on analyzing InterContinental Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build InterContinental'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 InterContinental's intrinsic value. In addition to deriving basic predictive indicators for InterContinental, we also check how macroeconomic factors affect InterContinental price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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