AutoZone Stock Forecast - Triple Exponential Smoothing

AZO Stock  USD 3,170  20.56  0.64%   
The Triple Exponential Smoothing forecasted value of AutoZone on the next trading day is expected to be 3,175 with a mean absolute deviation of 36.58 and the sum of the absolute errors of 2,195. AutoZone Stock Forecast is based on your current time horizon. Although AutoZone's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of AutoZone's systematic risk associated with finding meaningful patterns of AutoZone fundamentals over time.
  
At this time, AutoZone's Inventory Turnover is very stable compared to the past year. As of the 30th of November 2024, Payables Turnover is likely to grow to 2.33, while Receivables Turnover is likely to drop 32.20. . As of the 30th of November 2024, Net Income Applicable To Common Shares is likely to grow to about 3.1 B, while Common Stock Shares Outstanding is likely to drop about 16.9 M.
Triple exponential smoothing for AutoZone - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When AutoZone 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 trend in AutoZone price movement. However, neither of these exponential smoothing models address any seasonality of AutoZone.

AutoZone Triple Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of AutoZone on the next trading day is expected to be 3,175 with a mean absolute deviation of 36.58, mean absolute percentage error of 2,028, and the sum of the absolute errors of 2,195.
Please note that although there have been many attempts to predict AutoZone 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 AutoZone's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AutoZone Stock Forecast Pattern

Backtest AutoZoneAutoZone Price PredictionBuy or Sell Advice 

AutoZone Forecasted Value

In the context of forecasting AutoZone'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. AutoZone's downside and upside margins for the forecasting period are 3,174 and 3,177, respectively. We have considered AutoZone'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.
Market Value
3,170
3,175
Expected Value
3,177
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AutoZone stock data series using in forecasting. Note that when a statistical model is used to represent AutoZone 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -7.2504
MADMean absolute deviation36.5819
MAPEMean absolute percentage error0.0117
SAESum of the absolute errors2194.9121
As with simple exponential smoothing, in triple exponential smoothing models past AutoZone observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older AutoZone observations.

Predictive Modules for AutoZone

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AutoZone. 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.
Hype
Prediction
LowEstimatedHigh
3,1673,1683,486
Details
Intrinsic
Valuation
LowRealHigh
2,7072,7093,486
Details
Bollinger
Band Projection (param)
LowMiddleHigh
3,0353,1213,207
Details
29 Analysts
Consensus
LowTargetHigh
2,5932,8503,163
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AutoZone. Your research has to be compared to or analyzed against AutoZone's peers to derive any actionable benefits. When done correctly, AutoZone's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in AutoZone.

Other Forecasting Options for AutoZone

For every potential investor in AutoZone, whether a beginner or expert, AutoZone's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AutoZone Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AutoZone. Basic forecasting techniques help filter out the noise by identifying AutoZone's price trends.

AutoZone 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 AutoZone stock to make a market-neutral strategy. Peer analysis of AutoZone could also be used in its relative valuation, which is a method of valuing AutoZone by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

AutoZone 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 AutoZone'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 AutoZone's current price.

AutoZone Market Strength Events

Market strength indicators help investors to evaluate how AutoZone stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AutoZone shares will generate the highest return on investment. By undertsting and applying AutoZone stock market strength indicators, traders can identify AutoZone entry and exit signals to maximize returns.

AutoZone Risk Indicators

The analysis of AutoZone'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 AutoZone's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting autozone 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.
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 AutoZone

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 AutoZone 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 AutoZone will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to AutoZone could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AutoZone 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 AutoZone - 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 AutoZone to buy it.
The correlation of AutoZone 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 AutoZone moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AutoZone 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 AutoZone 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.
Pair CorrelationCorrelation Matching
When determining whether AutoZone offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AutoZone'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 Autozone Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Autozone Stock:
Check out Historical Fundamental Analysis of AutoZone to cross-verify your projections.
To learn how to invest in AutoZone Stock, please use our How to Invest in AutoZone guide.
You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Is Automotive Retail 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 AutoZone. If investors know AutoZone 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 AutoZone 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
0.117
Earnings Share
149.62
Revenue Per Share
1.1 K
Quarterly Revenue Growth
0.09
Return On Assets
0.1428
The market value of AutoZone is measured differently than its book value, which is the value of AutoZone that is recorded on the company's balance sheet. Investors also form their own opinion of AutoZone's value that differs from its market value or its book value, called intrinsic value, which is AutoZone'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 AutoZone's market value can be influenced by many factors that don't directly affect AutoZone'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 AutoZone's value and its price as these two are different measures arrived at by different means. Investors typically determine if AutoZone is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AutoZone'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.