Digimarc Stock Forward View - Simple Regression

DMRC Stock  USD 6.53  -0.11  -1.66%   
In Current reporting cycle, Digimarc reflects the strength momentum metric of 0, indicating compressed downside momentum. This extreme reading suggests selling pressure has dominated recent sessions and appears to be due for at least a temporary pause.
Momentum
Sell Peaked
 
Oversold
 
Overbought
The hype cycle around Digimarc can be quantified and compared to historical sentiment baselines. This module uses that comparison to generate price predictions that reflect the sentiment component of market value. Fundamental factors used to frame Digimarc's forecast:
 EPS Estimate Next Quarter
-0.04
 EPS Estimate Current Year
-0.32
 Wall Street Target Price
13
 EPS Estimate Current Quarter
-0.01
 Quarterly Revenue Growth
0.029
This view relates Digimarc's headline activity to recent price response context. Options and short interest provide context for sentiment around Digimarc in this section.
For a complete overview, review Dividend Yield and Price To Sales Ratio.
Digimarc Implied Volatility
    
  5.92  
Implied volatility in Digimarc's options does not predict direction - it measures magnitude. An investor expecting a large move in Digimarc stock in either direction may benefit from strategies that profit from volatility expansion.
The Simple Regression forecasted value of Digimarc on the next trading day is expected to be 4.49 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.68.
Digimarc after-hype prediction price
    
  $ 6.53  
The sentiment view is a companion to forecasting, technical studies, analyst estimates, and earnings trends.
Cross-verify projections for Digimarc using Historical Fundamental Analysis of Digimarc. The view supplies historical context for the projection discussion.
Our How to Buy Digimarc Stock guide explains the steps to invest in Digimarc stock.

Rule 16 Reference for the current Digimarc contract - Performance Context

Based on Rule 16, the market-implied daily move for 2026-03-20 options is about 0.37%. This context is informational: with Digimarc near $ 6.53, the daily move estimate is $ 0.0242 .

Open Interest Map for Digimarc Options 2026-03-20

The open interest measure summarizes active contracts for Digimarc and can be paired with trend context.

Digimarc Additional Predictive Modules

Most predictive techniques to examine Digimarc price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Digimarc using various technical indicators. When you analyze Digimarc 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Digimarc price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 14th of March 2026

Given 90 days horizon, the Simple Regression forecasted value of Digimarc on the next trading day is expected to be 4.49 with a mean absolute deviation of 0.42 , mean absolute percentage error of 0.32 , and the sum of the absolute errors of 25.68 .
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

This next-day forecast for Digimarc uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
6.53
4.49
Expected Value
9.78
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple 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.
AICAkaike Information Criteria116.9697
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4211
MAPEMean absolute percentage error0.0723
SAESum of the absolute errors25.6841
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Digimarc historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.
Experienced Digimarc's investors use mean reversion as a complement to momentum analysis: momentum identifies the trend; mean reversion identifies when that trend has extended beyond sustainable levels.
Hype
Prediction
LowEstimatedHigh
1.246.5311.82
Details
Intrinsic
Valuation
LowRealHigh
0.085.3710.66
Details
2 Analysts
Consensus
LowTargetHigh
11.8313.0014.43
Details
The most actionable insights from Digimarc analysis often emerge from peer comparison rather than standalone review. Digimarc's metrics gain meaning when benchmarked against the best and worst performers in its sector.

After-Hype Price Density Analysis

This probability distribution for Digimarc is built from Monte Carlo simulations that incorporate Digimarc's historical volatility, mean reversion tendencies, and jump risk. The resulting distribution captures a broader range of Digimarc outcomes than simple linear.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

The boundaries derived from Digimarc's historical news analysis represent the range within which Digimarc's price has typically settled after comparable headline events. Digimarc's after-hype downside and upside margins for the prediction period are 1.24 and 11.82, respectively. Outcomes outside these boundaries are less common but not rare for Digimarc.
Current Value
6.53
6.53
After-hype Price
11.82
Upside
The after-hype framework applied to Digimarc assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.

Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Digimarc is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Digimarc backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Digimarc, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.20 
5.29
  0.13 
  0.05 
25 Events
8 Events
In 25 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
6.53
6.53
0.00 
789.55  
Notes

Hype Timeline

Digimarc is currently traded for 6.53. The company has historical hype elasticity of 0.13, and average elasticity to hype of competition of -0.05. Digimarc is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -0.2%. %. The volatility of related hype on Digimarc is about 2300.0%, with the expected price after the next announcement by competition of 6.48. About 29.0% of the company shares are held by company insiders. The book value of Digimarc was currently reported as 1.84. The company recorded a loss per share of 1.7. Digimarc last dividend was issued on the 1st of May 2014. Given the investment horizon of 90 days the next projected press release will be in 25 days.
Cross-verify projections for Digimarc using Historical Fundamental Analysis of Digimarc. The view supplies historical context for the projection discussion.
Our How to Buy Digimarc Stock guide explains the steps to invest in Digimarc stock.

Related Hype Analysis

Understanding Digimarc's position within its competitive set helps investors assess whether news affecting a peer is a headwind or tailwind for Digimarc. This distinction requires knowledge of the competitive dynamics specific to Digimarc's industry.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
UISUnisys 0.03 7 per month 0.00 -0.06 8.08 -5.47 18.79
TTECTTEC Holdings 0.04 9 per month 0.00 -0.03 9.89 -9.18 27.26
ONTFON24 Inc 0.02 10 per month 0.00  0.12 1.21 -1.75 39.29
DVLTDatavault AI-0.07 20 per month 0.00 -0.05 25.00 -13.68 72.53
GDCGD Culture Group-0.08 8 per month 5.79 0.02 10.97 -9.28 64.90
DUOTDuos Technologies Group-0.85 8 per month 0.00 -0.04 7.59 -7.39 30.82
TCXTucows Inc-1.12 7 per month 0.00 -0.10 4.22 -5.34 19.13
MEIMethode Electronics-0.20 8 per month 0.00 -0.09 4.00 -9.88 21.45
IMMRImmersion 0.04 11 per month 0.00 -0.06 2.58 -3.61 10.23
WALDWaldencast Acquisition Corp-0.11 9 per month 0.00 -0.09 8.22 -5.70 21.63

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.
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

Coverage intensity for Digimarc matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Digimarc Short Properties

Short sentiment tied to Digimarc matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding21.7 M
Cash And Short Term Investments12.9 M

More Resources for Digimarc Stock Analysis

Reviewing Digimarc commonly begins with financial statements and performance trends. Financial ratios provide context for profitability, efficiency, and growth trends. Selected reports below provide context for Digimarc Stock:
Cross-verify projections for Digimarc using Historical Fundamental Analysis of Digimarc. The view supplies historical context for the projection discussion.
Our How to Buy Digimarc Stock guide explains the steps to invest in Digimarc stock.
Analysis related to Digimarc should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
 Earnings Share
-1.70
 Revenue Per Share
1.565
 Quarterly Revenue Growth
0.029
 Return On Assets
-0.32
 Return On Equity
-0.64
Investors evaluate Digimarc using market value and book value, each describing different facets of the business. Digimarc's market capitalization is 142.07 M. With a P/B ratio of 3.43, the market values Digimarc well above its book equity. Enterprise value stands at 134.87 M. The intrinsic value concept focuses on underlying worth, which can diverge from market price and book value. Valuation work aligns these measures into a single context.
The concept of value for Digimarc differs from its quoted price, since each reflects a different lens. For Digimarc, key inputs include a P/B ratio of 3.43, a profit margin of -95.27%, ROE of -63.61%, and revenue of 33.91 M. Trading price represents the transaction level agreed by market participants.