Credit Acceptance Stock Forecast - Polynomial Regression
| CACC Stock | USD 473.10 13.08 2.84% |
The Polynomial Regression forecasted value of Credit Acceptance on the next trading day is expected to be 446.46 with a mean absolute deviation of 12.28 and the sum of the absolute errors of 749.01. Credit Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Credit Acceptance stock prices and determine the direction of Credit Acceptance's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Credit Acceptance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Credit |
Credit Acceptance Polynomial Regression Price Forecast For the 26th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Credit Acceptance on the next trading day is expected to be 446.46 with a mean absolute deviation of 12.28, mean absolute percentage error of 232.80, and the sum of the absolute errors of 749.01.Please note that although there have been many attempts to predict Credit 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 Credit Acceptance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Credit Acceptance Stock Forecast Pattern
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Credit Acceptance Forecasted Value
In the context of forecasting Credit Acceptance'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. Credit Acceptance's downside and upside margins for the forecasting period are 444.46 and 448.46, respectively. We have considered Credit Acceptance'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 Credit Acceptance stock data series using in forecasting. Note that when a statistical model is used to represent Credit Acceptance 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 | 123.5607 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 12.2788 |
| MAPE | Mean absolute percentage error | 0.0273 |
| SAE | Sum of the absolute errors | 749.0057 |
Predictive Modules for Credit Acceptance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Credit Acceptance. 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 Credit Acceptance'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 Credit Acceptance
For every potential investor in Credit, whether a beginner or expert, Credit Acceptance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Credit Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Credit. Basic forecasting techniques help filter out the noise by identifying Credit Acceptance's price trends.Credit Acceptance 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 Credit Acceptance stock to make a market-neutral strategy. Peer analysis of Credit Acceptance could also be used in its relative valuation, which is a method of valuing Credit Acceptance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Credit Acceptance 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 Credit Acceptance'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 Credit Acceptance's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Credit Acceptance Market Strength Events
Market strength indicators help investors to evaluate how Credit Acceptance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Credit Acceptance shares will generate the highest return on investment. By undertsting and applying Credit Acceptance stock market strength indicators, traders can identify Credit Acceptance entry and exit signals to maximize returns.
Credit Acceptance Risk Indicators
The analysis of Credit Acceptance'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 Credit Acceptance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting credit 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 | 1.41 | |||
| Semi Deviation | 2.09 | |||
| Standard Deviation | 2.0 | |||
| Variance | 4.01 | |||
| Downside Variance | 4.55 | |||
| Semi Variance | 4.37 | |||
| Expected Short fall | (1.44) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Credit Acceptance offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Credit Acceptance's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Credit Acceptance Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Credit Acceptance Stock:Check out Historical Fundamental Analysis of Credit Acceptance to cross-verify your projections. For information on how to trade Credit Stock refer to our How to Trade Credit Stock guide.You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Is Consumer Finance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Credit Acceptance. If investors know Credit will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Credit Acceptance listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.169 | Earnings Share 14.95 | Revenue Per Share 67.945 | Quarterly Revenue Growth 0.138 | Return On Assets 0.0236 |
The market value of Credit Acceptance is measured differently than its book value, which is the value of Credit that is recorded on the company's balance sheet. Investors also form their own opinion of Credit Acceptance's value that differs from its market value or its book value, called intrinsic value, which is Credit Acceptance's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Credit Acceptance's market value can be influenced by many factors that don't directly affect Credit Acceptance's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Credit Acceptance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Credit Acceptance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Credit Acceptance's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.