Digimarc Stock Forecast - Naive Prediction

DMRC Stock  USD 33.89  0.05  0.15%   
The Naive Prediction forecasted value of Digimarc on the next trading day is expected to be 37.35 with a mean absolute deviation of 0.68 and the sum of the absolute errors of 42.29. Digimarc Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Digimarc stock prices and determine the direction of Digimarc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Digimarc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Digimarc's Asset Turnover is projected to slightly decrease based on the last few years of reporting. . As of November 30, 2024, Common Stock Shares Outstanding is expected to decline to about 11.3 M. The current year's Net Loss is expected to grow to about (51.1 M).

Digimarc Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Digimarc's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2006-12-31
Previous Quarter
30.6 M
Current Value
25.6 M
Quarterly Volatility
13.4 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Digimarc is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Digimarc value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Digimarc Naive Prediction Price Forecast For the 1st of December

Given 90 days horizon, the Naive Prediction forecasted value of Digimarc on the next trading day is expected to be 37.35 with a mean absolute deviation of 0.68, mean absolute percentage error of 0.88, and the sum of the absolute errors of 42.29.
Please note that although there have been many attempts to predict Digimarc Stock 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 Digimarc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Digimarc Stock Forecast Pattern

Backtest DigimarcDigimarc Price PredictionBuy or Sell Advice 

Digimarc Forecasted Value

In the context of forecasting Digimarc's Stock 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. Digimarc's downside and upside margins for the forecasting period are 33.91 and 40.79, respectively. We have considered Digimarc'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
33.89
37.35
Expected Value
40.79
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria119.8248
BiasArithmetic mean of the errors None
MADMean absolute deviation0.682
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors42.286
This model is not at all useful as a medium-long range forecasting tool of Digimarc. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Digimarc. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Digimarc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digimarc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
30.3533.7937.23
Details
Intrinsic
Valuation
LowRealHigh
26.3029.7437.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
27.5931.8636.12
Details
2 Analysts
Consensus
LowTargetHigh
27.3030.0033.30
Details

Other Forecasting Options for Digimarc

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

Digimarc 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 Digimarc stock to make a market-neutral strategy. Peer analysis of Digimarc could also be used in its relative valuation, which is a method of valuing Digimarc by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Digimarc Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Digimarc'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 Digimarc's current price.

Digimarc Market Strength Events

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

Digimarc Risk Indicators

The analysis of Digimarc'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 Digimarc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digimarc stock 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.
When determining whether Digimarc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Digimarc's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Digimarc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Digimarc Stock:
Check out Historical Fundamental Analysis of Digimarc to cross-verify your projections.
For information on how to trade Digimarc Stock refer to our How to Trade Digimarc Stock guide.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Digimarc. If investors know Digimarc will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Digimarc listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(1.93)
Revenue Per Share
1.857
Quarterly Revenue Growth
0.189
Return On Assets
(0.30)
Return On Equity
(0.53)
The market value of Digimarc is measured differently than its book value, which is the value of Digimarc that is recorded on the company's balance sheet. Investors also form their own opinion of Digimarc's value that differs from its market value or its book value, called intrinsic value, which is Digimarc's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Digimarc's market value can be influenced by many factors that don't directly affect Digimarc's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Digimarc's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digimarc is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digimarc's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.