Acacia Research Stock Forward View

ACTG Stock  USD 4.85  -0.07  -1.42%   
Acacia Research's Naive Prediction forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Naive Prediction forecasted value of Acacia Research on the next trading day is expected to be 5.10 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.22.This model is not at all useful as a medium-long range forecasting tool of Acacia Research. 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 Acacia Research. 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. The Naive Prediction projections for Acacia Research are reference data based on historical daily prices and are provided as informational context.

Acacia Research Cash Forecast

Statistical pattern recognition applied to Acacia Research's financial data reveals recurring cycles in cash generation that can be extrapolated to forecast Acacia Research's future financial performance with quantified uncertainty.
 
Cash  
 First Reported
1995-06-30
 Previous Quarter
301.8 M
 Current Value
306.7 M
 Quarterly Volatility
113.1 M
Macro event markers
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for Acacia Research is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Acacia Research 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.

Naive Prediction Price Forecast For the 22nd of March

Given 90 days horizon, the Naive Prediction forecasted value of Acacia Research on the next trading day is expected to be 5.10 with a mean absolute deviation of 0.10 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.22 .
Please note that although there have been many attempts to predict Acacia 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 Acacia Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Acacia Research  Acacia Research Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates Acacia Research's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 1.86 and upside around 8.35 for the forecasting period.
Market Value
4.85
5.10
Expected Value
8.35
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 Acacia Research stock data series using in forecasting. Note that when a statistical model is used to represent Acacia 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.
AICAkaike Information Criteria115.9427
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1003
MAPEMean absolute percentage error0.0238
SAESum of the absolute errors6.219
This model is not at all useful as a medium-long range forecasting tool of Acacia Research. 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 Acacia Research. 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.

Other Forecasting Options for Acacia Research

The price trajectory of Acacia is the primary concern for any investor assessing it as an opportunity. Acacia Stock price charts are filled with noise that can easily mislead uninformed investment decisions.

Acacia Research Related Equities

The following equities are related to Acacia Research within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Acacia Research 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

Acacia Research Market Strength Events

Understanding the market strength of Acacia Research stock enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Acacia Research with greater precision.

Acacia Research Risk Indicators

Reviewing Acacia Research's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding Acacia Research's and informs decisions about hedging and position.
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 Acacia Research

Story coverage around Acacia Research often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

Acacia Research Short Properties

Reviewing short-oriented indicators for Acacia Research is useful because long and short participants often create very different signals for timing and volatility. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding97.2 M
Cash And Short Term Investments330.1 M

More Resources for Acacia Stock Analysis

A baseline understanding of Acacia Research is formed through its financial statements and trends. These ratios help explain how earnings, efficiency, and value creation are connected.