Capgemini Pink Sheet Forecast - Simple Moving Average

CGEMY Stock  USD 32.14  0.05  0.16%   
The Simple Moving Average forecasted value of Capgemini SE ADR on the next trading day is expected to be 32.14 with a mean absolute deviation of 0.62 and the sum of the absolute errors of 36.44. Capgemini Pink Sheet Forecast is based on your current time horizon.
  
A two period moving average forecast for Capgemini is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Capgemini Simple Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Capgemini SE ADR on the next trading day is expected to be 32.14 with a mean absolute deviation of 0.62, mean absolute percentage error of 0.73, and the sum of the absolute errors of 36.44.
Please note that although there have been many attempts to predict Capgemini Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Capgemini's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Capgemini Pink Sheet Forecast Pattern

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Capgemini Forecasted Value

In the context of forecasting Capgemini's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Capgemini's downside and upside margins for the forecasting period are 30.22 and 34.06, respectively. We have considered Capgemini's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
32.14
32.14
Expected Value
34.06
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Capgemini pink sheet data series using in forecasting. Note that when a statistical model is used to represent Capgemini pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria114.1154
BiasArithmetic mean of the errors 0.2285
MADMean absolute deviation0.6176
MAPEMean absolute percentage error0.016
SAESum of the absolute errors36.44
The simple moving average model is conceptually a linear regression of the current value of Capgemini SE ADR price series against current and previous (unobserved) value of Capgemini. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Capgemini

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Capgemini SE ADR. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
30.2232.1434.06
Details
Intrinsic
Valuation
LowRealHigh
22.1924.1135.35
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.1233.2535.39
Details

Other Forecasting Options for Capgemini

For every potential investor in Capgemini, whether a beginner or expert, Capgemini's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Capgemini Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Capgemini. Basic forecasting techniques help filter out the noise by identifying Capgemini's price trends.

Capgemini Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Capgemini pink sheet to make a market-neutral strategy. Peer analysis of Capgemini could also be used in its relative valuation, which is a method of valuing Capgemini by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Capgemini SE ADR Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Capgemini's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Capgemini's current price.

Capgemini Market Strength Events

Market strength indicators help investors to evaluate how Capgemini pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Capgemini shares will generate the highest return on investment. By undertsting and applying Capgemini pink sheet market strength indicators, traders can identify Capgemini SE ADR entry and exit signals to maximize returns.

Capgemini Risk Indicators

The analysis of Capgemini's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Capgemini's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capgemini pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Capgemini Pink Sheet Analysis

When running Capgemini's price analysis, check to measure Capgemini's 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 Capgemini is operating at the current time. Most of Capgemini's value examination focuses on studying past and present price action to predict the probability of Capgemini's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Capgemini's price. Additionally, you may evaluate how the addition of Capgemini to your portfolios can decrease your overall portfolio volatility.