Upbound Stock Forecast - Polynomial Regression

UPBD Stock   33.80  0.81  2.46%   
The Polynomial Regression forecasted value of Upbound Group on the next trading day is expected to be 35.03 with a mean absolute deviation of 1.02 and the sum of the absolute errors of 61.93. Upbound Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Upbound stock prices and determine the direction of Upbound Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Upbound's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current year's Fixed Asset Turnover is expected to grow to 11.75, whereas Inventory Turnover is forecasted to decline to 2.08. . The current year's Common Stock Shares Outstanding is expected to grow to about 61.5 M, whereas Net Income Applicable To Common Shares is forecasted to decline to about 10.6 M.
Upbound polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Upbound Group as well as the accuracy indicators are determined from the period prices.

Upbound Polynomial Regression Price Forecast For the 25th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Upbound Group on the next trading day is expected to be 35.03 with a mean absolute deviation of 1.02, mean absolute percentage error of 1.72, and the sum of the absolute errors of 61.93.
Please note that although there have been many attempts to predict Upbound 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 Upbound's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Upbound Stock Forecast Pattern

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Upbound Forecasted Value

In the context of forecasting Upbound'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. Upbound's downside and upside margins for the forecasting period are 32.45 and 37.60, respectively. We have considered Upbound'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
33.80
35.03
Expected Value
37.60
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Upbound stock data series using in forecasting. Note that when a statistical model is used to represent Upbound 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 Criteria118.6505
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0152
MAPEMean absolute percentage error0.0336
SAESum of the absolute errors61.9296
A single variable polynomial regression model attempts to put a curve through the Upbound historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Upbound

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Upbound Group. 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
31.1933.7636.33
Details
Intrinsic
Valuation
LowRealHigh
33.2935.8638.43
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.7733.5334.29
Details
9 Analysts
Consensus
LowTargetHigh
36.0639.6343.99
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Upbound. Your research has to be compared to or analyzed against Upbound's peers to derive any actionable benefits. When done correctly, Upbound'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 Upbound Group.

Other Forecasting Options for Upbound

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

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

Upbound Group 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 Upbound'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 Upbound's current price.

Upbound Market Strength Events

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

Upbound Risk Indicators

The analysis of Upbound'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 Upbound's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting upbound 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.
When determining whether Upbound Group is a strong investment it is important to analyze Upbound's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Upbound's future performance. For an informed investment choice regarding Upbound Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Upbound to cross-verify your projections.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Is Computer & Electronics 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 Upbound. If investors know Upbound 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 Upbound 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
5.995
Dividend Share
1.45
Earnings Share
1.46
Revenue Per Share
78.182
Quarterly Revenue Growth
0.092
The market value of Upbound Group is measured differently than its book value, which is the value of Upbound that is recorded on the company's balance sheet. Investors also form their own opinion of Upbound's value that differs from its market value or its book value, called intrinsic value, which is Upbound'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 Upbound's market value can be influenced by many factors that don't directly affect Upbound'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 Upbound's value and its price as these two are different measures arrived at by different means. Investors typically determine if Upbound is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Upbound'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.