Grocery Outlet Stock Forecast - Triple Exponential Smoothing

GO Stock  USD 19.54  0.89  4.77%   
The Triple Exponential Smoothing forecasted value of Grocery Outlet Holding on the next trading day is expected to be 19.82 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 28.98. Grocery Stock Forecast is based on your current time horizon. Although Grocery Outlet's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Grocery Outlet's systematic risk associated with finding meaningful patterns of Grocery Outlet fundamentals over time.
  
At this time, Grocery Outlet's Inventory Turnover is very stable compared to the past year. As of the 25th of November 2024, Receivables Turnover is likely to grow to 299.63, while Payables Turnover is likely to drop 12.99. . As of the 25th of November 2024, Common Stock Shares Outstanding is likely to drop to about 96.7 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 46.5 M.
Triple exponential smoothing for Grocery Outlet - 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 Grocery Outlet 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 Grocery Outlet price movement. However, neither of these exponential smoothing models address any seasonality of Grocery Outlet Holding.

Grocery Outlet Triple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Grocery Outlet Holding on the next trading day is expected to be 19.82 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.45, and the sum of the absolute errors of 28.98.
Please note that although there have been many attempts to predict Grocery 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 Grocery Outlet's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Grocery Outlet Stock Forecast Pattern

Backtest Grocery OutletGrocery Outlet Price PredictionBuy or Sell Advice 

Grocery Outlet Forecasted Value

In the context of forecasting Grocery Outlet'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. Grocery Outlet's downside and upside margins for the forecasting period are 16.11 and 23.54, respectively. We have considered Grocery Outlet'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
19.54
19.82
Expected Value
23.54
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 Grocery Outlet stock data series using in forecasting. Note that when a statistical model is used to represent Grocery Outlet 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 -0.1023
MADMean absolute deviation0.4911
MAPEMean absolute percentage error0.0297
SAESum of the absolute errors28.9766
As with simple exponential smoothing, in triple exponential smoothing models past Grocery Outlet 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 Grocery Outlet Holding observations.

Predictive Modules for Grocery Outlet

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grocery Outlet Holding. 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
15.9119.6723.43
Details
Intrinsic
Valuation
LowRealHigh
17.5925.2929.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.4019.2420.08
Details
15 Analysts
Consensus
LowTargetHigh
32.1535.3339.22
Details

Other Forecasting Options for Grocery Outlet

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

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

Grocery Outlet Holding 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 Grocery Outlet'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 Grocery Outlet's current price.

Grocery Outlet Market Strength Events

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

Grocery Outlet Risk Indicators

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

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 Grocery Outlet 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 Grocery Outlet will appreciate offsetting losses from the drop in the long position's value.

Moving together with Grocery Stock

  0.62ACI Albertsons CompaniesPairCorr

Moving against Grocery Stock

  0.46FC Franklin CoveyPairCorr
  0.37UG United GuardianPairCorr
The ability to find closely correlated positions to Grocery Outlet could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Grocery Outlet 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 Grocery Outlet - 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 Grocery Outlet Holding to buy it.
The correlation of Grocery Outlet 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 Grocery Outlet moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Grocery Outlet Holding 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 Grocery Outlet 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
Check out Historical Fundamental Analysis of Grocery Outlet to cross-verify your projections.
You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Is Consumer Staples Distribution & 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 Grocery Outlet. If investors know Grocery 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 Grocery Outlet 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
(0.11)
Earnings Share
0.51
Revenue Per Share
42.988
Quarterly Revenue Growth
0.104
Return On Assets
0.0194
The market value of Grocery Outlet Holding is measured differently than its book value, which is the value of Grocery that is recorded on the company's balance sheet. Investors also form their own opinion of Grocery Outlet's value that differs from its market value or its book value, called intrinsic value, which is Grocery Outlet'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 Grocery Outlet's market value can be influenced by many factors that don't directly affect Grocery Outlet'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 Grocery Outlet's value and its price as these two are different measures arrived at by different means. Investors typically determine if Grocery Outlet is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Grocery Outlet'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.