Open Text Stock Forecast - Simple Regression

OTEX Stock  USD 30.43  0.16  0.52%   
The Simple Regression forecasted value of Open Text Corp on the next trading day is expected to be 29.52 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 76.93. Open Stock Forecast is based on your current time horizon.
  
At this time, Open Text's Payables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to rise to 12.75 in 2024, despite the fact that Inventory Turnover is likely to grow to (382.57). . Net Income Applicable To Common Shares is likely to rise to about 189.2 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 239.3 M in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through Open Text 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.

Open Text Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of Open Text Corp on the next trading day is expected to be 29.52 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.08, and the sum of the absolute errors of 76.93.
Please note that although there have been many attempts to predict Open 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 Open Text's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Open Text Stock Forecast Pattern

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Open Text Forecasted Value

In the context of forecasting Open Text'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. Open Text's downside and upside margins for the forecasting period are 27.53 and 31.51, respectively. We have considered Open Text'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
30.43
29.52
Expected Value
31.51
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 Open Text stock data series using in forecasting. Note that when a statistical model is used to represent Open Text 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 Criteria118.8428
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2611
MAPEMean absolute percentage error0.0402
SAESum of the absolute errors76.9251
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 Open Text Corp historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Open Text

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Open Text Corp. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Open Text's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
28.5330.5232.51
Details
Intrinsic
Valuation
LowRealHigh
27.5339.5241.52
Details
11 Analysts
Consensus
LowTargetHigh
43.8648.2053.50
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.820.920.95
Details

Other Forecasting Options for Open Text

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

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 Risk & Return  Correlation

Open Text Corp 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 Open Text'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 Open Text's current price.

Open Text Market Strength Events

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

Open Text Risk Indicators

The analysis of Open Text'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 Open Text's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting open 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.

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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.

Additional Tools for Open Stock Analysis

When running Open Text's price analysis, check to measure Open Text's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Open Text is operating at the current time. Most of Open Text's value examination focuses on studying past and present price action to predict the probability of Open Text's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Open Text's price. Additionally, you may evaluate how the addition of Open Text to your portfolios can decrease your overall portfolio volatility.