Capgemini (Germany) Statistic Functions Pearson Correlation Coefficient

CGM Stock  EUR 154.70  0.25  0.16%   
Capgemini statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against Capgemini. Capgemini 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 Pearson Correlation Coefficient function function is designed to identify and follow existing trends. Capgemini 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.

Function
Time Period
Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Capgemini SE and its benchmark or peer.

Capgemini Technical Analysis Modules

Most technical analysis of Capgemini 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 Capgemini from various momentum indicators to cycle indicators. When you analyze Capgemini 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 Capgemini 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 Capgemini SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of Capgemini SE based on widely used predictive technical indicators. In general, we focus on analyzing Capgemini Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Capgemini'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 Capgemini's intrinsic value. In addition to deriving basic predictive indicators for Capgemini, we also check how macroeconomic factors affect Capgemini price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
153.29154.95156.61
Details
Intrinsic
Valuation
LowRealHigh
137.01138.67170.45
Details
Naive
Forecast
LowNextHigh
153.28154.94156.60
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
147.57170.93194.29
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Did you try this?

Run Equity Forecasting Now

   

Equity Forecasting

Use basic forecasting models to generate price predictions and determine price momentum
All  Next Launch Module

Capgemini SE 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 Capgemini 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 Capgemini will appreciate offsetting losses from the drop in the long position's value.

Capgemini Pair Trading

Capgemini SE Pair Trading Analysis

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

Capgemini financial ratios help investors to determine whether Capgemini 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 Capgemini with respect to the benefits of owning Capgemini security.