Wilhelmina Stock Forecast - Simple Regression

WHLM Stock  USD 3.99  0.07  1.72%   
The Simple Regression forecasted value of Wilhelmina on the next trading day is expected to be 3.09 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.40. Wilhelmina Stock Forecast is based on your current time horizon. Although Wilhelmina's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Wilhelmina's systematic risk associated with finding meaningful patterns of Wilhelmina fundamentals over time.
  
As of the 28th of November 2024, Asset Turnover is likely to grow to 0.82, while Inventory Turnover is likely to drop 37.25. . As of the 28th of November 2024, Net Income Applicable To Common Shares is likely to grow to about 3.3 M, while Common Stock Shares Outstanding is likely to drop about 4.3 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Wilhelmina 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.

Wilhelmina Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of Wilhelmina on the next trading day is expected to be 3.09 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.17, and the sum of the absolute errors of 20.40.
Please note that although there have been many attempts to predict Wilhelmina 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 Wilhelmina's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wilhelmina Stock Forecast Pattern

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Wilhelmina Forecasted Value

In the context of forecasting Wilhelmina'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. Wilhelmina's downside and upside margins for the forecasting period are 0.04 and 8.27, respectively. We have considered Wilhelmina'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
3.99
3.09
Expected Value
8.27
Upside

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 Wilhelmina stock data series using in forecasting. Note that when a statistical model is used to represent Wilhelmina 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 Criteria116.356
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3344
MAPEMean absolute percentage error0.0833
SAESum of the absolute errors20.3985
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 Wilhelmina 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 Wilhelmina

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wilhelmina. 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
0.203.939.14
Details
Intrinsic
Valuation
LowRealHigh
0.183.608.81
Details

Other Forecasting Options for Wilhelmina

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

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 Risk & Return  Correlation

Wilhelmina 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 Wilhelmina'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 Wilhelmina's current price.

Wilhelmina Market Strength Events

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

Wilhelmina Risk Indicators

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

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When determining whether Wilhelmina is a strong investment it is important to analyze Wilhelmina'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 Wilhelmina's future performance. For an informed investment choice regarding Wilhelmina Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Wilhelmina to cross-verify your projections.
To learn how to invest in Wilhelmina Stock, please use our How to Invest in Wilhelmina guide.
You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Is Commercial Services & Supplies 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 Wilhelmina. If investors know Wilhelmina 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 Wilhelmina 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
(0.41)
Earnings Share
0.11
Revenue Per Share
3.296
Quarterly Revenue Growth
0.022
Return On Assets
0.0124
The market value of Wilhelmina is measured differently than its book value, which is the value of Wilhelmina that is recorded on the company's balance sheet. Investors also form their own opinion of Wilhelmina's value that differs from its market value or its book value, called intrinsic value, which is Wilhelmina'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 Wilhelmina's market value can be influenced by many factors that don't directly affect Wilhelmina'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 Wilhelmina's value and its price as these two are different measures arrived at by different means. Investors typically determine if Wilhelmina is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wilhelmina'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.