Cimpress Stock Forecast - Simple Regression

CMPR Stock  USD 73.81  1.17  1.61%   
The Simple Regression forecasted value of Cimpress NV on the next trading day is expected to be 73.39 with a mean absolute deviation of 3.23 and the sum of the absolute errors of 196.80. Cimpress Stock Forecast is based on your current time horizon. Although Cimpress' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cimpress' systematic risk associated with finding meaningful patterns of Cimpress fundamentals over time.
  
At this time, Cimpress' Payables Turnover is relatively stable compared to the past year. As of 01/18/2025, Receivables Turnover is likely to grow to 66.15, while Inventory Turnover is likely to drop 19.09. . As of 01/18/2025, Common Stock Shares Outstanding is likely to grow to about 33.4 M, though Net Loss is likely to grow to (159 M).

Open Interest Against 2025-04-17 Cimpress Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Cimpress' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Cimpress' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Cimpress stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Cimpress' open interest, investors have to compare it to Cimpress' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Cimpress is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Cimpress. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Simple Regression model is a single variable regression model that attempts to put a straight line through Cimpress 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.

Cimpress Simple Regression Price Forecast For the 19th of January

Given 90 days horizon, the Simple Regression forecasted value of Cimpress NV on the next trading day is expected to be 73.39 with a mean absolute deviation of 3.23, mean absolute percentage error of 14.48, and the sum of the absolute errors of 196.80.
Please note that although there have been many attempts to predict Cimpress 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 Cimpress' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cimpress Stock Forecast Pattern

Backtest CimpressCimpress Price PredictionBuy or Sell Advice 

Cimpress Forecasted Value

In the context of forecasting Cimpress' 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. Cimpress' downside and upside margins for the forecasting period are 70.85 and 75.93, respectively. We have considered Cimpress' 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
73.81
73.39
Expected Value
75.93
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 Cimpress stock data series using in forecasting. Note that when a statistical model is used to represent Cimpress 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 Criteria120.7834
BiasArithmetic mean of the errors None
MADMean absolute deviation3.2262
MAPEMean absolute percentage error0.0421
SAESum of the absolute errors196.7961
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 Cimpress NV 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 Cimpress

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cimpress NV. 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
71.1773.7176.25
Details
Intrinsic
Valuation
LowRealHigh
66.4394.6797.22
Details
2 Analysts
Consensus
LowTargetHigh
104.20114.50127.10
Details
Earnings
Estimates (0)
LowProjected EPSHigh
2.382.432.48
Details

Other Forecasting Options for Cimpress

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

View Cimpress Related Equities

 Risk & Return  Correlation

Cimpress NV 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 Cimpress' 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 Cimpress' current price.

Cimpress Market Strength Events

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

Cimpress Risk Indicators

The analysis of Cimpress' 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 Cimpress' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cimpress 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.

Pair Trading with Cimpress

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 Cimpress 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 Cimpress will appreciate offsetting losses from the drop in the long position's value.

Moving together with Cimpress Stock

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Moving against Cimpress Stock

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The ability to find closely correlated positions to Cimpress could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cimpress 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 Cimpress - 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 Cimpress NV to buy it.
The correlation of Cimpress 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 Cimpress moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cimpress NV 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 Cimpress 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.
Pair CorrelationCorrelation Matching

Additional Tools for Cimpress Stock Analysis

When running Cimpress' price analysis, check to measure Cimpress' 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 Cimpress is operating at the current time. Most of Cimpress' value examination focuses on studying past and present price action to predict the probability of Cimpress' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cimpress' price. Additionally, you may evaluate how the addition of Cimpress to your portfolios can decrease your overall portfolio volatility.