Burlington Stores Stock Forecast - Double Exponential Smoothing

BURL Stock  MXN 5,942  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Burlington Stores on the next trading day is expected to be 5,942 with a mean absolute deviation of 33.98 and the sum of the absolute errors of 2,005. Burlington Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Burlington Stores works best with periods where there are trends or seasonality.

Burlington Stores Double Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Burlington Stores on the next trading day is expected to be 5,942 with a mean absolute deviation of 33.98, mean absolute percentage error of 58,244, and the sum of the absolute errors of 2,005.
Please note that although there have been many attempts to predict Burlington 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 Burlington Stores' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Burlington Stores Stock Forecast Pattern

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Burlington Stores Forecasted Value

In the context of forecasting Burlington Stores' 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. Burlington Stores' downside and upside margins for the forecasting period are 5,936 and 5,948, respectively. We have considered Burlington Stores' 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
5,942
5,942
Expected Value
5,948
Upside

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 Burlington Stores stock data series using in forecasting. Note that when a statistical model is used to represent Burlington Stores 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 -28.6271
MADMean absolute deviation33.9831
MAPEMean absolute percentage error0.0056
SAESum of the absolute errors2005.0
When Burlington Stores 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 Burlington Stores 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 Burlington Stores observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Burlington Stores

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Burlington Stores. 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
5,9365,9425,948
Details
Intrinsic
Valuation
LowRealHigh
5,3486,5606,566
Details
Bollinger
Band Projection (param)
LowMiddleHigh
3,2164,8206,423
Details

Other Forecasting Options for Burlington Stores

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

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

Burlington Stores 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 Burlington Stores' 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 Burlington Stores' current price.

Burlington Stores Market Strength Events

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

Burlington Stores Risk Indicators

The analysis of Burlington Stores' 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 Burlington Stores' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting burlington 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Burlington Stock Analysis

When running Burlington Stores' price analysis, check to measure Burlington Stores' 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 Burlington Stores is operating at the current time. Most of Burlington Stores' value examination focuses on studying past and present price action to predict the probability of Burlington Stores' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Burlington Stores' price. Additionally, you may evaluate how the addition of Burlington Stores to your portfolios can decrease your overall portfolio volatility.