IMRIS Stock Forecast - Simple Regression
The Simple Regression forecasted value of IMRIS Inc on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. IMRIS Stock Forecast is based on your current time horizon. Although IMRIS's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of IMRIS's systematic risk associated with finding meaningful patterns of IMRIS fundamentals over time.
At this time, IMRIS's Payables Turnover is relatively stable compared to the past year. As of 12/27/2025, Receivables Turnover is likely to grow to 3.48, while Inventory Turnover is likely to drop 2.27. . As of 12/27/2025, Net Loss is likely to grow to about (26 M). IMRIS Simple Regression Price Forecast For the 28th of December
Given 90 days horizon, the Simple Regression forecasted value of IMRIS Inc on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict IMRIS 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 IMRIS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
IMRIS Stock Forecast Pattern
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IMRIS Forecasted Value
In the context of forecasting IMRIS'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. IMRIS's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered IMRIS'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.
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 IMRIS stock data series using in forecasting. Note that when a statistical model is used to represent IMRIS 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.| AIC | Akaike Information Criteria | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for IMRIS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IMRIS Inc. 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 IMRIS'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.
Other Forecasting Options for IMRIS
For every potential investor in IMRIS, whether a beginner or expert, IMRIS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IMRIS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IMRIS. Basic forecasting techniques help filter out the noise by identifying IMRIS's price trends.IMRIS 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 IMRIS stock to make a market-neutral strategy. Peer analysis of IMRIS could also be used in its relative valuation, which is a method of valuing IMRIS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
IMRIS Inc 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 IMRIS'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 IMRIS's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Pair Trading with IMRIS
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IMRIS position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IMRIS will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to IMRIS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IMRIS when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IMRIS - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling IMRIS Inc to buy it.
The correlation of IMRIS is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IMRIS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IMRIS Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IMRIS can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for IMRIS Stock Analysis
When running IMRIS's price analysis, check to measure IMRIS'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 IMRIS is operating at the current time. Most of IMRIS's value examination focuses on studying past and present price action to predict the probability of IMRIS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IMRIS's price. Additionally, you may evaluate how the addition of IMRIS to your portfolios can decrease your overall portfolio volatility.