Us Lithium Corp Stock Market Value
| LITH Stock | USD 0.0004 0.00 0.00% |
| Symbol | LITH |
US Lithium Corp Price To Book Ratio
Is Pharmaceuticals 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 US Lithium. If investors know LITH 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 US Lithium listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.88) | Return On Assets (0.16) | Return On Equity (5.98) |
The market value of US Lithium Corp is measured differently than its book value, which is the value of LITH that is recorded on the company's balance sheet. Investors also form their own opinion of US Lithium's value that differs from its market value or its book value, called intrinsic value, which is US Lithium'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 US Lithium's market value can be influenced by many factors that don't directly affect US Lithium'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 US Lithium's value and its price as these two are different measures arrived at by different means. Investors typically determine if US Lithium is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, US Lithium'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.
US Lithium '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 US Lithium'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 US Lithium.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in US Lithium on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding US Lithium Corp or generate 0.0% return on investment in US Lithium over 720 days. US Lithium is related to or competes with Eisai. It offers cannabinoid products, such as combo adult gummies with chirorub, combo tincture with chirorub, intensive relie... More
US Lithium 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 US Lithium'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 US Lithium Corp upside and downside potential and time the market with a certain degree of confidence.
US Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Lithium's standard deviation. In reality, there are many statistical measures that can use US Lithium historical prices to predict the future US Lithium's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Lithium'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.
US Lithium Corp Backtested Returns
We have found three technical indicators for US Lithium, which you can use to evaluate the volatility of the company. The entity owns a Beta (Systematic Risk) of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and US Lithium are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
US Lithium Corp has no correlation between past and present. Overlapping area represents the amount of predictability between US Lithium time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd of November 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 US Lithium Corp price movement. The serial correlation of 0.0 indicates that just 0.0% of current US Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
US Lithium Corp lagged returns against current returns
Autocorrelation, which is US Lithium 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 US Lithium's stock expected returns. We can calculate the autocorrelation of US Lithium returns to help us make a trade decision. For example, suppose you find that US Lithium 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 |
US Lithium 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 US Lithium stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if US Lithium stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in US Lithium stock over time.
Current vs Lagged Prices |
| Timeline |
US Lithium Lagged Returns
When evaluating US Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of US Lithium stock have on its future price. US Lithium 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, US Lithium autocorrelation shows the relationship between US Lithium stock current value and its past values and can show if there is a momentum factor associated with investing in US Lithium Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether US Lithium Corp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of US Lithium'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 Us Lithium Corp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Us Lithium Corp Stock:Check out US Lithium Correlation, US Lithium Volatility and US Lithium Alpha and Beta module to complement your research on US Lithium. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
US Lithium 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.