CPI Computer Stock Forecast - Simple Regression

CPI Stock  EUR 0.52  0.02  3.70%   
The Simple Regression forecasted value of CPI Computer Peripherals on the next trading day is expected to be 0.50 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.12. CPI Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through CPI Computer 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.

CPI Computer Simple Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of CPI Computer Peripherals on the next trading day is expected to be 0.50 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 1.12.
Please note that although there have been many attempts to predict CPI 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 CPI Computer's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CPI Computer Stock Forecast Pattern

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CPI Computer Forecasted Value

In the context of forecasting CPI Computer'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. CPI Computer's downside and upside margins for the forecasting period are 0.01 and 2.77, respectively. We have considered CPI Computer'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
0.52
0.50
Expected Value
2.77
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 CPI Computer stock data series using in forecasting. Note that when a statistical model is used to represent CPI Computer 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 Criteria112.1849
BiasArithmetic mean of the errors None
MADMean absolute deviation0.018
MAPEMean absolute percentage error0.0321
SAESum of the absolute errors1.1161
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 CPI Computer Peripherals 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 CPI Computer

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CPI Computer Peripherals. 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
0.030.522.79
Details
Intrinsic
Valuation
LowRealHigh
0.020.462.73
Details

Other Forecasting Options for CPI Computer

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

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

CPI Computer Peripherals 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 CPI Computer'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 CPI Computer's current price.

CPI Computer Market Strength Events

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

CPI Computer Risk Indicators

The analysis of CPI Computer'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 CPI Computer's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cpi 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for CPI Stock Analysis

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