CPI Card Stock Forecast - Polynomial Regression
| PMTS Stock | USD 34.30 0.60 1.78% |
The Polynomial Regression forecasted value of CPI Card Group on the next trading day is expected to be 35.27 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 55.57. CPI Stock Forecast is based on your current time horizon.
CPI |
CPI Card Polynomial Regression Price Forecast For the 17th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of CPI Card Group on the next trading day is expected to be 35.27 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.32, and the sum of the absolute errors of 55.57.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 Card's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CPI Card Stock Forecast Pattern
| Backtest CPI Card | CPI Card Price Prediction | Buy or Sell Advice |
CPI Card Forecasted Value
In the context of forecasting CPI Card'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 Card's downside and upside margins for the forecasting period are 31.23 and 39.31, respectively. We have considered CPI Card'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of CPI Card stock data series using in forecasting. Note that when a statistical model is used to represent CPI Card 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 | 118.3849 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.911 |
| MAPE | Mean absolute percentage error | 0.0354 |
| SAE | Sum of the absolute errors | 55.5719 |
Predictive Modules for CPI Card
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 Card Group. 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 CPI Card'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 CPI Card
For every potential investor in CPI, whether a beginner or expert, CPI Card'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 Card's price trends.CPI Card 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 Card stock to make a market-neutral strategy. Peer analysis of CPI Card could also be used in its relative valuation, which is a method of valuing CPI Card by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CPI Card Group 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 Card'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 Card's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CPI Card Market Strength Events
Market strength indicators help investors to evaluate how CPI Card 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 Card shares will generate the highest return on investment. By undertsting and applying CPI Card stock market strength indicators, traders can identify CPI Card Group entry and exit signals to maximize returns.
CPI Card Risk Indicators
The analysis of CPI Card'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 Card'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.
| Mean Deviation | 2.57 | |||
| Semi Deviation | 3.78 | |||
| Standard Deviation | 4.04 | |||
| Variance | 16.34 | |||
| Downside Variance | 16.93 | |||
| Semi Variance | 14.28 | |||
| Expected Short fall | (2.84) |
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
Additional Tools for CPI Stock Analysis
When running CPI Card's price analysis, check to measure CPI Card'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 Card is operating at the current time. Most of CPI Card's value examination focuses on studying past and present price action to predict the probability of CPI Card'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 Card's price. Additionally, you may evaluate how the addition of CPI Card to your portfolios can decrease your overall portfolio volatility.