Digimarc Stock Forward View - Polynomial Regression
| DMRC Stock | USD 5.57 -0.24 -4.13% |
The reference data on this page reflects Polynomial Regression output applied to Digimarc's historical daily closing prices. Forecast values and accuracy statistics are presented for informational purposes.
The Polynomial Regression forecasted value of Digimarc on the next trading day is expected to be 6.50 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 19.01.A single variable polynomial regression model attempts to put a curve through the Digimarc 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 Digimarc reflects Polynomial Regression model output and is intended as reference material for analytical use. Polynomial Regression Price Forecast For the 20th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Digimarc on the next trading day is expected to be 6.50 with a mean absolute deviation of 0.31 , mean absolute percentage error of 0.16 , and the sum of the absolute errors of 19.01 .Please note that although there have been many attempts to predict Digimarc 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 Digimarc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Digimarc | Digimarc Price Prediction | Research Analysis |
Forecasted Value
Forecasting Digimarc for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 1.11 on the downside to about 11.88 on the upside.
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 Digimarc stock data series using in forecasting. Note that when a statistical model is used to represent Digimarc 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 | 116.2663 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3116 |
| MAPE | Mean absolute percentage error | 0.0528 |
| SAE | Sum of the absolute errors | 19.009 |
Other Forecasting Options for Digimarc
Understanding Digimarc's price movement is a prerequisite for any investor considering Digimarc as a position. Digimarc Stock price charts are frequently cluttered with noise that can interfere with accurate interpretation.Digimarc Related Equities
The following equities are related to Digimarc within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Digimarc against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Digimarc Market Strength Events
For traders and investors in Digimarc, market strength indicators offer a quantitative framework for evaluating the stock's responsiveness to market conditions. These tools help identify when trading Digimarc shares is most likely to generate favorable returns.
Digimarc Risk Indicators
Analyzing Digimarc's risk indicators provides a critical input for price forecasting and investment risk management. By quantifying the risk in Digimarc's investment, investors can make more informed decisions about their exposure and hedging strategies.
| Mean Deviation | 3.96 | |||
| Standard Deviation | 5.29 | |||
| Variance | 28.01 |
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 Digimarc
A coverage review of Digimarc helps investors see when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Contributor Headline
Latest Perspective From Macroaxis
Digimarc Short Properties
A short-interest review of Digimarc helps investors understand whether skepticism in the market is becoming more influential. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 21.7 M | |
| Cash And Short Term Investments | 12.9 M |