White Label Liquid Stock Market Value
| WLAB Stock | USD 0.0001 0.00 0.00% |
| Symbol | White |
White Label Liquid Price To Book Ratio
Is Specialty Chemicals 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 White Label. If investors know White 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 White Label listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of White Label Liquid is measured differently than its book value, which is the value of White that is recorded on the company's balance sheet. Investors also form their own opinion of White Label's value that differs from its market value or its book value, called intrinsic value, which is White Label'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 White Label's market value can be influenced by many factors that don't directly affect White Label'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 White Label's value and its price as these two are different measures arrived at by different means. Investors typically determine if White Label is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, White Label'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.
White Label 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to White Label's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of White Label.
| 01/05/2023 |
| 12/25/2024 |
If you would invest 0.00 in White Label on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding White Label Liquid or generate 0.0% return on investment in White Label over 720 days. White Label is related to or competes with Oil Dri, and Balchem. White Label Liquid, Inc. provides manufacturing service for custom-blended products containing hemp-derived CBD oil More
White Label Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure White Label's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess White Label Liquid upside and downside potential and time the market with a certain degree of confidence.
White Label Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for White Label's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as White Label's standard deviation. In reality, there are many statistical measures that can use White Label historical prices to predict the future White Label's volatility.White Label Liquid Backtested Returns
We have found three technical indicators for White Label Liquid, which you can use to evaluate the volatility of the company. The firm maintains a market beta of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and White Label are completely uncorrelated.
Auto-correlation | 0.30 |
Below average predictability
White Label Liquid has below average predictability. Overlapping area represents the amount of predictability between White Label time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of White Label Liquid price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current White Label price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
White Label Liquid lagged returns against current returns
Autocorrelation, which is White Label stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting White Label's stock expected returns. We can calculate the autocorrelation of White Label returns to help us make a trade decision. For example, suppose you find that White Label has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
White Label regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If White Label stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if White Label stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in White Label stock over time.
Current vs Lagged Prices |
| Timeline |
White Label Lagged Returns
When evaluating White Label's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of White Label stock have on its future price. White Label autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, White Label autocorrelation shows the relationship between White Label stock current value and its past values and can show if there is a momentum factor associated with investing in White Label Liquid.
Regressed Prices |
| Timeline |
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 White Label Liquid offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of White Label's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of White Label Liquid Stock. Outlined below are crucial reports that will aid in making a well-informed decision on White Label Liquid Stock:Check out White Label Correlation, White Label Volatility and White Label Alpha and Beta module to complement your research on White Label. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
White Label technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.