GCP Infrastructure (UK) Statistic Functions Beta

GCP Stock   77.20  0.40  0.52%   
GCP Infrastructure statistic functions tool provides the execution environment for running the Beta function and other technical functions against GCP Infrastructure. GCP Infrastructure value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. GCP Infrastructure statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was two with a total number of output elements of fifty-nine. The Beta measures systematic risk based on how returns on GCP Infrastructure correlated with the market. If Beta is less than 0 GCP Infrastructure generally moves in the opposite direction as compared to the market. If GCP Infrastructure Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one GCP Infrastructure is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of GCP Infrastructure is generally in the same direction as the market. If Beta > 1 GCP Infrastructure moves generally in the same direction as, but more than the movement of the benchmark.

GCP Infrastructure Technical Analysis Modules

Most technical analysis of GCP Infrastructure 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 GCP from various momentum indicators to cycle indicators. When you analyze GCP 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.

About GCP Infrastructure 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 GCP Infrastructure Investments. We use our internally-developed statistical techniques to arrive at the intrinsic value of GCP Infrastructure Investments based on widely used predictive technical indicators. In general, we focus on analyzing GCP Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GCP Infrastructure'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 GCP Infrastructure's intrinsic value. In addition to deriving basic predictive indicators for GCP Infrastructure, we also check how macroeconomic factors affect GCP Infrastructure price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
76.0677.1078.14
Details
Intrinsic
Valuation
LowRealHigh
69.4888.4789.51
Details
Naive
Forecast
LowNextHigh
77.0178.0479.08
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

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GCP Infrastructure pair trading

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 GCP Infrastructure 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 GCP Infrastructure will appreciate offsetting losses from the drop in the long position's value.

GCP Infrastructure Pair Trading

GCP Infrastructure Investments Pair Trading Analysis

The ability to find closely correlated positions to GCP Infrastructure could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GCP Infrastructure 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 GCP Infrastructure - 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 GCP Infrastructure Investments to buy it.
The correlation of GCP Infrastructure 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 GCP Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GCP Infrastructure 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 GCP Infrastructure 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

Other Information on Investing in GCP Stock

GCP Infrastructure financial ratios help investors to determine whether GCP Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GCP with respect to the benefits of owning GCP Infrastructure security.