Credit Acceptance Stock Forecast - Polynomial Regression
| CACC Stock | USD 537.87 9.53 1.74% |
The Polynomial Regression forecasted value of Credit Acceptance on the next trading day is expected to be 548.74 with a mean absolute deviation of 6.42 and the sum of the absolute errors of 391.67. 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. Although Credit Acceptance's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Credit Acceptance's systematic risk associated with finding meaningful patterns of Credit Acceptance fundamentals over time.
Check out Historical Fundamental Analysis of Credit Acceptance to cross-verify your projections. Credit |
Open Interest Against 2024-04-19 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.
Most investors in Credit Acceptance cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Credit Acceptance's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Credit Acceptance's price structures and extracts relationships that further increase the generated results' accuracy.
Credit Acceptance polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Credit Acceptance as well as the accuracy indicators are determined from the period prices. Credit Acceptance Polynomial Regression Price Forecast For the 18th of April 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Credit Acceptance on the next trading day is expected to be 548.74 with a mean absolute deviation of 6.42, mean absolute percentage error of 75.61, and the sum of the absolute errors of 391.67.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 546.99 and 550.48, 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 | 122.4361 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 6.4208 |
| MAPE | Mean absolute percentage error | 0.0116 |
| SAE | Sum of the absolute errors | 391.6706 |
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 | 1.21 | |||
| Semi Deviation | 1.41 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.01 | |||
| Downside Variance | 2.07 | |||
| Semi Variance | 1.99 | |||
| Expected Short fall | (1.31) |
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.
Pair Trading with Credit Acceptance
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Credit Acceptance position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Credit Acceptance will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Credit Acceptance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Credit Acceptance when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Credit Acceptance - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Credit Acceptance to buy it.
The correlation of Credit Acceptance is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Credit Acceptance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Credit Acceptance moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Credit Acceptance can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.Note that the Credit Acceptance information on this page should be used as a complementary analysis to other Credit Acceptance's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for Credit Stock analysis
When running Credit Acceptance's price analysis, check to measure Credit Acceptance'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 Credit Acceptance is operating at the current time. Most of Credit Acceptance's value examination focuses on studying past and present price action to predict the probability of Credit Acceptance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Credit Acceptance's price. Additionally, you may evaluate how the addition of Credit Acceptance to your portfolios can decrease your overall portfolio volatility.
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Is Credit Acceptance's industry 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 (0.24) | Earnings Share 22 | Revenue Per Share 69.418 | Quarterly Revenue Growth (0.11) | Return On Assets 0.0394 |
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.