TUESDAY MORNING Stock Forecast - Simple Regression

TUEM -  USA Stock

USD 4.000.225.82%

TUESDAY Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast TUESDAY MORNING historical stock prices and determine the direction of TUESDAY MORNING CORP's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of TUESDAY MORNING historical fundamentals such as revenue growth or operating cash flow patterns.
Additionally, take a look at Historical Fundamental Analysis of TUESDAY MORNING to cross-verify your projections.

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Most investors in TUESDAY MORNING 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 TUESDAY MORNING's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets TUESDAY MORNING's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through TUESDAY MORNING price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

TUESDAY MORNING Simple Regression Price Forecast For the 27th of July

Given 90 days horizon, the Simple Regression forecasted value of TUESDAY MORNING CORP on the next trading day is expected to be 4.71 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.18, and the sum of the absolute errors of 22.12. Please note that although there have been many attempts to predict TUESDAY 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 TUESDAY MORNING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TUESDAY MORNING Forecasted Value

In the context of forecasting TUESDAY MORNING'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. TUESDAY MORNING's downside and upside margins for the forecasting period are 0.25 and 9.18, respectively. We have considered TUESDAY MORNING'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
4.00
26th of July 2021
 0.25Downside 4.71Expected ValueTarget Odds 9.18Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of TUESDAY MORNING stock data series using in forecasting. Note that when a statistical model is used to represent TUESDAY MORNING 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 116.4193 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 0.3627 MAPE Mean absolute percentage error 0.0923 SAE Sum of the absolute errors 22.1231
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as TUESDAY MORNING CORP historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for TUESDAY MORNING

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TUESDAY MORNING CORP. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of TUESDAY MORNING'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. Please use the tools below to analyze the current value of TUESDAY MORNING in the context of predictive analytics.
Hype
Prediction
 Low Estimated Value High 0.21 4.18 9.73
Intrinsic
Valuation
 Low Real Value High 0.17 3.50 9.05
Bollinger
Band Projection (param)
 Lower Middle Band Upper 3.71 4.18 4.65
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TUESDAY MORNING. Your research has to be compared to or analyzed against TUESDAY MORNING's peers to derive any actionable benefits. When done correctly, TUESDAY MORNING's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in TUESDAY MORNING CORP.

Other Forecasting Options for TUESDAY MORNING

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

View Currently 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 TUESDAY MORNING stock to make a market-neutral strategy. Peer analysis of TUESDAY MORNING could also be used in its relative valuation, which is a method of valuing TUESDAY MORNING by comparing valuation metrics with similar companies.

TUESDAY MORNING CORP 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 TUESDAY MORNING'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 TUESDAY MORNING's current price.
 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

TUESDAY MORNING Market Strength Events

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

TUESDAY MORNING Risk Indicators

The analysis of TUESDAY MORNING's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in TUESDAY MORNING's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting TUESDAY MORNING stock price, 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 2.88 Semi Deviation 2.41 Standard Deviation 4.45 Variance 19.76 Downside Variance 8.36 Semi Variance 5.79 Expected Short fall (4.47)
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

TUESDAY MORNING Investors Sentiment

The influence of TUESDAY MORNING's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in TUESDAY. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Current Sentiment - TUEM

TUESDAY MORNING CORP Investor Sentiment

Macroaxis portfolio users are evenly split in their outlook on investing in TUESDAY MORNING CORP. What is your outlook on investing in TUESDAY MORNING CORP? Are you bullish or bearish?
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Bearish
50% Bullish
50% Bearish
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Additionally, take a look at Historical Fundamental Analysis of TUESDAY MORNING to cross-verify your projections. Note that the TUESDAY MORNING CORP information on this page should be used as a complementary analysis to other TUESDAY MORNING'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 Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.

Complementary Tools for TUESDAY Stock analysis

When running TUESDAY MORNING CORP price analysis, check to measure TUESDAY MORNING'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 TUESDAY MORNING is operating at the current time. Most of TUESDAY MORNING's value examination focuses on studying past and present price action to predict the probability of TUESDAY MORNING's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move TUESDAY MORNING's price. Additionally, you may evaluate how the addition of TUESDAY MORNING to your portfolios can decrease your overall portfolio volatility.
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The market value of TUESDAY MORNING CORP is measured differently than its book value, which is the value of TUESDAY that is recorded on the company's balance sheet. Investors also form their own opinion of TUESDAY MORNING's value that differs from its market value or its book value, called intrinsic value, which is TUESDAY MORNING'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 TUESDAY MORNING's market value can be influenced by many factors that don't directly affect TUESDAY MORNING CORP underlying business (such as pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between TUESDAY MORNING's value and its price as these two are different measures arrived at by different means. Investors typically determine TUESDAY MORNING value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TUESDAY MORNING'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.