Forrester Research Stock Forward View - Polynomial Regression
| FORR Stock | USD 5.75 -0.23 -3.85% |
The Polynomial Regression reference data for Forrester Research is derived from the equity's published trading history. The resulting forecast and deviation statistics are presented as reference data for informational context. Forecast values and accuracy statistics are presented for informational purposes. All values shown are derived from publicly available market data.
The Polynomial Regression forecasted value of Forrester Research on the next trading day is expected to be 6.63 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.87.A single variable polynomial regression model attempts to put a curve through the Forrester Research historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm The forecast reference data presented here for Forrester Research reflects Polynomial Regression model output and is intended as reference material for analytical use. Polynomial Regression Price Forecast For the 26th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Forrester Research on the next trading day is expected to be 6.63 with a mean absolute deviation of 0.29 , mean absolute percentage error of 0.15 , and the sum of the absolute errors of 17.87 .Please note that although there have been many attempts to predict Forrester Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Forrester Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Forrester Research | Forrester Research Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Forrester Research uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 3.19 and upside near 10.06.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Forrester Research stock data series using in forecasting. Note that when a statistical model is used to represent Forrester Research stock, 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.| AIC | Akaike Information Criteria | 116.1981 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2929 |
| MAPE | Mean absolute percentage error | 0.0459 |
| SAE | Sum of the absolute errors | 17.8658 |
Other Forecasting Options for Forrester Research
Fibonacci retracement levels applied to Forrester Stock price swings identify potential support and resistance zones. Extreme price moves in Forrester occur more frequently than standard risk models assume. Support and resistance levels derived from Forrester Research's historical data identify zones where buying or selling pressure has stalled moves. A volume spike without a corresponding price move can signal accumulation or distribution ahead of a directional breakout.Forrester Research Related Equities
Forrester Research's market space within the Industrials space is best grasped by looking at the firms listed below. Checking cash flow across this peer set helps gauge Forrester Research's relative financial strength.
| Risk & Return | Correlation |
Forrester Research Market Strength Events
Tracking market strength indicators for Forrester Research provides context for understanding stock momentum dynamics. Tracking these indicators helps identify periods where trading Forrester Research is likely to be most rewarding. These tools are essential for timing trades in Forrester Research with a quantitative framework. Market strength indicators for Forrester Research are most useful when viewed as part of a broader analytical framework.
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 5.75 | |||
| Day Typical Price | 5.75 | |||
| Price Action Indicator | -0.12 | |||
| Period Momentum Indicator | -0.23 |
Forrester Research Risk Indicators
Properly assessing Forrester Research's risk indicators is a prerequisite for building reliable price forecasts. This analysis provides context for determining the appropriate level of risk to accept when holding Forrester Research's. Analyzing Forrester Research's risk indicators provides a critical input for investment risk management. By quantifying the risk in Forrester Research's investment, investors can make more informed decisions about hedging strategies.
| Mean Deviation | 2.21 | |||
| Standard Deviation | 3.34 | |||
| Variance | 11.19 |
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.
Story Coverage note for Forrester Research
Coverage intensity for Forrester Research matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.
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Forrester Research Short Properties
A short-interest review of Forrester Research provides context for understanding whether skepticism in the market is becoming more influential. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 19 M | |
| Cash And Short Term Investments | 127.7 M |
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