Capgemini Pink Sheet Forward View
| CGEMY Pink Sheet | USD 24.39 -0.18 -0.73% |
This Naive Prediction projection for Capgemini is fitted to the equity's recent daily closes. Low error metrics relative to the price level indicate the model fits recent trading behavior well. The Naive Prediction model projects Capgemini at 23.37 for the next trading day, below the most recent closing price. This forecast is one analytical input among many and should be assessed in the context of broader analysis.
Naive Prediction Price Forecast For the 9th of May
Over a 90-day horizon, the Naive Prediction model forecasts Capgemini at 23.37 for the next trading day, with a mean absolute deviation of 0.69 , mean absolute percentage error of 0.03 , and sum of absolute errors of 42.52 .This represents a tight forecast with good short-term tracking of Capgemini's price movement. This output is intended for short-term analytical reference.
Pink Sheet Forecast Pattern
| Backtest Capgemini | Capgemini Price Prediction | Research Analysis |
Forecasted Value
This forecast for Capgemini frames the expected trading range using downside and upside bounds rather than a single point target. The current forecast range spans downside near 20.74 and upside near 26.01. The wide range indicates elevated uncertainty in short-term projections.
Model Predictive Factors
The table below summarizes the Naive Prediction model's error metrics for Capgemini pink sheet. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.| AIC | Akaike Information Criteria | 119.6104 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6858 |
| MAPE | Mean absolute percentage error | 0.0284 |
| SAE | Sum of the absolute errors | 42.5166 |
Other Forecasting Options for Capgemini
The autocorrelation structure of Capgemini's daily returns reveals whether Capgemini exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements distinguishes persistent directional moves from temporary noise in Capgemini Pink Sheet price data.Capgemini Related Equities
These stocks are related to Capgemini within the Information Technology Services space and can be used for peer review, pricing, or spreading risk. Market cap and total value checks frame Capgemini's size within the competitive field. Peer pricing is more meaningful when the firms compared share similar business models and end markets. Peer review is one of the most widely used methods in stock research and portfolio building.
| Risk & Return | Correlation |
Capgemini Market Strength Events
Rate of Change and Momentum readings for Capgemini measure the velocity of recent price moves rather than direction alone. These indicators add context to how recent sessions in Capgemini have behaved.
Capgemini Risk Indicators
Standard deviation and variance for Capgemini measure total price dispersion, while semi-deviation isolates only the downside moves. Higher variance relative to sector peers signals that Capgemini's price path has been less predictable over the measured period.
| Mean Deviation | 1.89 | |||
| Standard Deviation | 2.59 | |||
| Variance | 6.7 |
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.
Capgemini Short Properties
Reviewing short-oriented indicators for Capgemini is useful because long and short participants often create very different signals for timing and volatility. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 862.78 million | |
| Cash And Short Term Investments | 3.51 billion |
More Resources for Capgemini Pink Sheet Analysis
Financial ratios for Capgemini organize key financial data into structured relationships. This format maintains consistency across different reporting periods.