United States Lime Stock Market Value
| USLM Stock | USD 107.48 0.63 0.58% |
| Symbol | United |
United States Lime Price To Book Ratio
Is Construction Materials 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 United States. If investors know United 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 United States 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 0.526 | Dividend Share 0.22 | Earnings Share 4.2 | Revenue Per Share | Quarterly Revenue Growth 0.273 |
The market value of United States Lime is measured differently than its book value, which is the value of United that is recorded on the company's balance sheet. Investors also form their own opinion of United States' value that differs from its market value or its book value, called intrinsic value, which is United States' 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 United States' market value can be influenced by many factors that don't directly affect United States' 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 United States' value and its price as these two are different measures arrived at by different means. Investors typically determine if United States is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, United States' 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.
United States '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 United States' 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 United States.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in United States on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding United States Lime or generate 0.0% return on investment in United States over 90 days. United States is related to or competes with Monarch Cement, Eagle Materials, Cementos Pacasmayo, Loma Negra, Utah Medical, Preformed Line, and Winmark. United States Lime Minerals, Inc. manufactures and supplies lime and limestone products in the United States More
United States 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 United States' 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 United States Lime upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.89 | |||
| Information Ratio | 0.0348 | |||
| Maximum Drawdown | 8.52 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 3.38 |
United States Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for United States' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as United States' standard deviation. In reality, there are many statistical measures that can use United States historical prices to predict the future United States' volatility.| Risk Adjusted Performance | 0.1354 | |||
| Jensen Alpha | 0.0605 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0356 | |||
| Treynor Ratio | 0.2643 |
United States Lime Backtested Returns
United States appears to be very steady, given 3 months investment horizon. United States Lime owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for United States Lime, which you can use to evaluate the volatility of the company. Please review United States' Coefficient Of Variation of 684.62, semi deviation of 1.56, and Risk Adjusted Performance of 0.1354 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, United States holds a performance score of 11. The entity has a beta of 1.03, which indicates a somewhat significant risk relative to the market. United States returns are very sensitive to returns on the market. As the market goes up or down, United States is expected to follow. Please check United States' semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether United States' existing price patterns will revert.
Auto-correlation | 0.56 |
Modest predictability
United States Lime has modest predictability. Overlapping area represents the amount of predictability between United States time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of United States Lime price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current United States price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 8.13 |
United States Lime lagged returns against current returns
Autocorrelation, which is United States 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 United States' stock expected returns. We can calculate the autocorrelation of United States returns to help us make a trade decision. For example, suppose you find that United States 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 |
United States 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 United States stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if United States stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in United States stock over time.
Current vs Lagged Prices |
| Timeline |
United States Lagged Returns
When evaluating United States' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of United States stock have on its future price. United States 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, United States autocorrelation shows the relationship between United States stock current value and its past values and can show if there is a momentum factor associated with investing in United States Lime.
Regressed Prices |
| Timeline |
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United States 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.