Cars Stock Forward View - Double Exponential Smoothing
| 0HTZ Stock | 8.40 0.16 1.94% |
The Double Exponential Smoothing forecast shown here for Cars is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Double Exponential Smoothing forecasted value of Cars Inc on the next trading day is expected to be 8.36 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.47.When Cars Inc prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Cars Inc trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Cars observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing reference page for Cars presents model-generated projections from historical price data for informational purposes. Double Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Cars Inc on the next trading day is expected to be 8.36 with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.14 , and the sum of the absolute errors of 16.47 .Please note that although there have been many attempts to predict Cars 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 Cars' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Cars | Cars Price Prediction | Research Analysis |
Forecasted Value
Forecasting Cars Inc for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 5.03 and upside near 11.68.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Cars stock data series using in forecasting. Note that when a statistical model is used to represent Cars 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0402 |
| MAD | Mean absolute deviation | 0.2746 |
| MAPE | Mean absolute percentage error | 0.0266 |
| SAE | Sum of the absolute errors | 16.4747 |
Other Forecasting Options for Cars
The distribution of Cars' daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Cars' chart that simple price charts miss.Cars Related Equities
Sizing up Cars against these stocks within the Industrials space shows how it compares on key financial measures. Market cap and total value checks frame Cars' size within the competitive field. Sector-wide trends across this peer group can help split company-level factors from broader forces. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
| Risk & Return | Correlation |
Cars Market Strength Events
Market strength indicators for Cars give insight into the stock's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Cars Inc.
Cars Risk Indicators
A thorough review of Cars' risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Cars' allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 2.37 | |||
| Standard Deviation | 3.29 | |||
| Variance | 10.82 |
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 Cars
The amount of media and story coverage tied to Cars Inc can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
Story Categories
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Cars Short Properties
Short-interest signals around Cars Inc can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 63.3 M | |
| Cash And Short Term Investments | 56.2 M |
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