Cambridge Technology Stock Forecast - Simple Regression

CTE Stock   87.26  1.50  1.75%   
The Simple Regression forecasted value of Cambridge Technology Enterprises on the next trading day is expected to be 89.14 with a mean absolute deviation of 4.37 and the sum of the absolute errors of 266.48. Cambridge Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Cambridge Technology stock prices and determine the direction of Cambridge Technology Enterprises's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Cambridge Technology's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Cambridge Technology's Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting. The current year's Other Current Liabilities is expected to grow to about 279.7 M, whereas Common Stock is forecasted to decline to about 208.6 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Cambridge Technology 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.

Cambridge Technology Simple Regression Price Forecast For the 27th of November

Given 90 days horizon, the Simple Regression forecasted value of Cambridge Technology Enterprises on the next trading day is expected to be 89.14 with a mean absolute deviation of 4.37, mean absolute percentage error of 26.74, and the sum of the absolute errors of 266.48.
Please note that although there have been many attempts to predict Cambridge 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 Cambridge Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cambridge Technology Stock Forecast Pattern

Backtest Cambridge TechnologyCambridge Technology Price PredictionBuy or Sell Advice 

Cambridge Technology Forecasted Value

In the context of forecasting Cambridge Technology'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. Cambridge Technology's downside and upside margins for the forecasting period are 87.18 and 91.10, respectively. We have considered Cambridge Technology'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
87.26
89.14
Expected Value
91.10
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 Cambridge Technology stock data series using in forecasting. Note that when a statistical model is used to represent Cambridge Technology 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 Criteria121.3967
BiasArithmetic mean of the errors None
MADMean absolute deviation4.3685
MAPEMean absolute percentage error0.0449
SAESum of the absolute errors266.4761
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 Cambridge Technology Enterprises 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 Cambridge Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cambridge Technology. 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
83.7285.6887.64
Details
Intrinsic
Valuation
LowRealHigh
79.8881.8494.34
Details

Other Forecasting Options for Cambridge Technology

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

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

Cambridge Technology 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 Cambridge Technology'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 Cambridge Technology's current price.

Cambridge Technology Market Strength Events

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

Cambridge Technology Risk Indicators

The analysis of Cambridge Technology'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 Cambridge Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cambridge 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.

Other Information on Investing in Cambridge Stock

Cambridge Technology financial ratios help investors to determine whether Cambridge Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cambridge with respect to the benefits of owning Cambridge Technology security.