Consumer Portfolio Stock Forecast - Naive Prediction
| CPSS Stock | USD 10.53 0.11 1.03% |
The Naive Prediction forecasted value of Consumer Portfolio Services on the next trading day is expected to be 10.30 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.40. Consumer Stock Forecast is based on your current time horizon.
Consumer |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Consumer Portfolio's financial statements to predict how it will affect future prices.
Cash | First Reported 1996-06-30 | Previous Quarter 266.6 M | Current Value 8.1 M | Quarterly Volatility 30 M |
Consumer Portfolio Naive Prediction Price Forecast For the 29th of December
Given 90 days horizon, the Naive Prediction forecasted value of Consumer Portfolio Services on the next trading day is expected to be 10.30 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.40.Please note that although there have been many attempts to predict Consumer 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 Consumer Portfolio's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Consumer Portfolio Stock Forecast Pattern
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Consumer Portfolio Forecasted Value
In the context of forecasting Consumer Portfolio'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. Consumer Portfolio's downside and upside margins for the forecasting period are 8.32 and 12.29, respectively. We have considered Consumer Portfolio'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Consumer Portfolio stock data series using in forecasting. Note that when a statistical model is used to represent Consumer Portfolio 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 | 117.0057 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1677 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 10.4003 |
Predictive Modules for Consumer Portfolio
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Consumer Portfolio. 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 Consumer Portfolio'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 Consumer Portfolio
For every potential investor in Consumer, whether a beginner or expert, Consumer Portfolio's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Consumer Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Consumer. Basic forecasting techniques help filter out the noise by identifying Consumer Portfolio's price trends.View Consumer Portfolio Related Equities
| Risk & Return | Correlation |
Consumer Portfolio 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 Consumer Portfolio'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 Consumer Portfolio's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
Consumer Portfolio Market Strength Events
Market strength indicators help investors to evaluate how Consumer Portfolio stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Consumer Portfolio shares will generate the highest return on investment. By undertsting and applying Consumer Portfolio stock market strength indicators, traders can identify Consumer Portfolio Services entry and exit signals to maximize returns.
| Accumulation Distribution | 395.36 | |||
| Daily Balance Of Power | (0.44) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 10.66 | |||
| Day Typical Price | 10.61 | |||
| Price Action Indicator | (0.18) | |||
| Period Momentum Indicator | (0.11) |
Consumer Portfolio Risk Indicators
The analysis of Consumer Portfolio'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 Consumer Portfolio's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting consumer 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 | 1.46 | |||
| Semi Deviation | 1.68 | |||
| Standard Deviation | 2.02 | |||
| Variance | 4.07 | |||
| Downside Variance | 3.53 | |||
| Semi Variance | 2.82 | |||
| Expected Short fall | (1.69) |
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.
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Additional Tools for Consumer Stock Analysis
When running Consumer Portfolio's price analysis, check to measure Consumer Portfolio'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 Consumer Portfolio is operating at the current time. Most of Consumer Portfolio's value examination focuses on studying past and present price action to predict the probability of Consumer Portfolio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Consumer Portfolio's price. Additionally, you may evaluate how the addition of Consumer Portfolio to your portfolios can decrease your overall portfolio volatility.