Credit Acceptance Stock Forward View - Simple Regression
| CACC Stock | USD 483.98 1.16 0.24% |
Credit Stock outlook 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 suggest always using this module together with an analysis of Credit Acceptance's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength indicator of Credit Acceptance's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.10) | EPS Estimate Next Quarter 9.95 | EPS Estimate Current Year 44.89 | EPS Estimate Next Year 52.0633 | Wall Street Target Price 466.6667 |
Using Credit Acceptance hype-based prediction, you can estimate the value of Credit Acceptance from the perspective of Credit Acceptance response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Credit Acceptance using Credit Acceptance's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Credit using crowd psychology based on the activity and movement of Credit Acceptance's stock price.
Credit Acceptance Short Interest
A significant increase or decrease in Credit Acceptance's short interest from the previous month could be a good indicator of investor sentiment towards Credit. Short interest can provide insight into the potential direction of Credit Acceptance stock and how bullish or bearish investors feel about the market overall.
200 Day MA 482.8629 | Short Percent 0.3524 | Short Ratio 8 | Shares Short Prior Month 1.3 M | 50 Day MA 468.002 |
Credit Relative Strength Index
The Simple Regression forecasted value of Credit Acceptance on the next trading day is expected to be 488.18 with a mean absolute deviation of 14.13 and the sum of the absolute errors of 876.00.Credit Acceptance Hype to Price Pattern
Investor biases related to Credit Acceptance's public news can be used to forecast risks associated with an investment in Credit. The trend in average sentiment can be used to explain how an investor holding Credit can time the market purely based on public headlines and social activities around Credit Acceptance. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Credit Acceptance's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Credit Acceptance.
Credit Acceptance Implied Volatility | 0.46 |
Credit Acceptance's implied volatility exposes the market's sentiment of Credit Acceptance stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Credit Acceptance's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Credit Acceptance stock will not fluctuate a lot when Credit Acceptance's options are near their expiration.
The Simple Regression forecasted value of Credit Acceptance on the next trading day is expected to be 488.18 with a mean absolute deviation of 14.13 and the sum of the absolute errors of 876.00. Credit Acceptance after-hype prediction price | USD 487.42 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Credit Acceptance to cross-verify your projections. Prediction based on Rule 16 of the current Credit contract
Based on the Rule 16, the options market is currently suggesting that Credit Acceptance will have an average daily up or down price movement of about 0.0288% per day over the life of the 2026-05-15 option contract. With Credit Acceptance trading at USD 483.98, that is roughly USD 0.14 . If you think that the market is fully incorporating Credit Acceptance's daily price movement you should consider acquiring Credit Acceptance options at the current volatility level of 0.46%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-05-15 Credit Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Credit Acceptance's 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 Credit Acceptance's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Credit Acceptance 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 Credit Acceptance's open interest, investors have to compare it to Credit Acceptance's 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 Credit Acceptance 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 Credit. 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.
Credit Acceptance Additional Predictive Modules
Most predictive techniques to examine Credit price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Credit using various technical indicators. When you analyze Credit charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Credit Acceptance Simple Regression Price Forecast For the 15th of February 2026
Given 90 days horizon, the Simple Regression forecasted value of Credit Acceptance on the next trading day is expected to be 488.18 with a mean absolute deviation of 14.13, mean absolute percentage error of 320.98, and the sum of the absolute errors of 876.00.Please note that although there have been many attempts to predict Credit Stock prices using its time series forecasting, we generally do not suggest 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
| Backtest Credit Acceptance | Credit Acceptance Price Prediction | Research Analysis |
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 485.75 and 490.60, 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 Simple 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 | 125.7198 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 14.1291 |
| MAPE | Mean absolute percentage error | 0.0307 |
| SAE | Sum of the absolute errors | 876.004 |
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.
Credit Acceptance After-Hype Price Density Analysis
As far as predicting the price of Credit Acceptance at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Credit Acceptance or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Credit Acceptance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Credit Acceptance Estimiated After-Hype Price Volatility
In the context of predicting Credit Acceptance's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Credit Acceptance's historical news coverage. Credit Acceptance's after-hype downside and upside margins for the prediction period are 435.58 and 489.85, respectively. We have considered Credit Acceptance's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Credit Acceptance is very steady at this time. Analysis and calculation of next after-hype price of Credit Acceptance is based on 3 months time horizon.
Credit Acceptance Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Credit Acceptance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Credit Acceptance backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Credit Acceptance, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.26 | 2.43 | 3.44 | 0.02 | 8 Events / Month | 7 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
483.98 | 487.42 | 0.71 |
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Credit Acceptance Hype Timeline
Credit Acceptance is currently traded for 483.98. The entity has historical hype elasticity of 3.44, and average elasticity to hype of competition of 0.02. Credit is forecasted to increase in value after the next headline, with the price projected to jump to 487.42 or above. The average volatility of media hype impact on the company the price is about 18.35%. The price growth on the next news is projected to be 0.71%, whereas the daily expected return is currently at 0.26%. The volatility of related hype on Credit Acceptance is about 2927.71%, with the expected price after the next announcement by competition of 484.00. The company reported the previous year's revenue of 2.32 B. Net Income was 247.9 M with profit before overhead, payroll, taxes, and interest of 1.16 B. Given the investment horizon of 90 days the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Credit Acceptance to cross-verify your projections.Credit Acceptance Related Hype Analysis
Having access to credible news sources related to Credit Acceptance's direct competition is more important than ever and may enhance your ability to predict Credit Acceptance's future price movements. Getting to know how Credit Acceptance's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Credit Acceptance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| JSM | Navient SR | 0.04 | 7 per month | 0.57 | (0.03) | 0.93 | (0.98) | 3.25 | |
| NNI | Nelnet Inc | (0.86) | 9 per month | 1.36 | (0.04) | 2.43 | (2.15) | 6.95 | |
| SLM | SLM Corp | 0.15 | 9 per month | 0.00 | (0.07) | 3.45 | (3.41) | 20.19 | |
| UBSI | United Bankshares | 0.12 | 10 per month | 0.97 | 0.16 | 3.05 | (1.84) | 8.75 | |
| AVAL | Grupo Aval | 0.02 | 9 per month | 2.34 | (0) | 4.40 | (4.15) | 13.37 | |
| ABCB | Ameris Bancorp | (1.37) | 9 per month | 1.00 | 0.1 | 2.76 | (1.78) | 6.79 | |
| MAIN | Main Street Capital | (0.26) | 10 per month | 1.18 | (0.01) | 2.36 | (2.23) | 5.50 | |
| VIRT | Virtu Financial | 0.74 | 8 per month | 1.86 | 0.03 | 2.81 | (3.14) | 13.20 | |
| HOMB | Home BancShares | 0.21 | 9 per month | 1.08 | 0.04 | 2.24 | (1.53) | 6.96 | |
| RJF | Raymond James Financial | 2.04 | 7 per month | 0.00 | (0.04) | 2.28 | (2.30) | 11.78 |
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 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.
| Accumulation Distribution | 7904.02 | |||
| Daily Balance Of Power | (0.06) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 487.79 | |||
| Day Typical Price | 486.52 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (4.39) | |||
| Period Momentum Indicator | (1.16) |
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 | 1.69 | |||
| Semi Deviation | 2.14 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.85 | |||
| Downside Variance | 5.27 | |||
| Semi Variance | 4.58 | |||
| Expected Short fall | (1.79) |
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.
Story Coverage note for Credit Acceptance
The number of cover stories for Credit Acceptance depends on current market conditions and Credit Acceptance's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Credit Acceptance is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Credit Acceptance's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Credit Acceptance Short Properties
Credit Acceptance's future price predictability will typically decrease when Credit Acceptance's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Credit Acceptance often depends not only on the future outlook of the potential Credit Acceptance's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Credit Acceptance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 11.3 M | |
| Cash And Short Term Investments | 500.7 M |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Will Consumer Finance sector continue expanding? Could Credit diversify its offerings? Factors like these will boost the valuation of Credit Acceptance. Projected growth potential of Credit fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Credit Acceptance data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.10) | Earnings Share 36.49 | Revenue Per Share | Quarterly Revenue Growth 0.016 | Return On Assets |
Understanding Credit Acceptance requires distinguishing between market price and book value, where the latter reflects Credit's accounting equity. The concept of intrinsic value - what Credit Acceptance's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Credit Acceptance's price substantially above or below its fundamental value.
It's important to distinguish between Credit Acceptance's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Credit Acceptance should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Credit Acceptance's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.