National Storm Management Stock Market Value
| NSMG Stock | USD 0.00001 0.00 0.00% |
| Symbol | National |
National Storm Management Price To Book Ratio
Is Residential Construction 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 National Storm. If investors know National 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 National Storm 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 0.494 | Earnings Share 0.002 | Revenue Per Share | Quarterly Revenue Growth 4.177 | Return On Assets |
The market value of National Storm Management is measured differently than its book value, which is the value of National that is recorded on the company's balance sheet. Investors also form their own opinion of National Storm's value that differs from its market value or its book value, called intrinsic value, which is National Storm'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 National Storm's market value can be influenced by many factors that don't directly affect National Storm'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 National Storm's value and its price as these two are different measures arrived at by different means. Investors typically determine if National Storm is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, National Storm'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.
National Storm '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 National Storm'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 National Storm.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in National Storm on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding National Storm Management or generate 0.0% return on investment in National Storm over 90 days. National Storm Management, Inc. operates as a storm restoration management company that specializes in residential home ... More
National Storm 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 National Storm'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 National Storm Management upside and downside potential and time the market with a certain degree of confidence.
National Storm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for National Storm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as National Storm's standard deviation. In reality, there are many statistical measures that can use National Storm historical prices to predict the future National Storm's volatility.National Storm Management Backtested Returns
National Storm Management has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13 % return per unit of risk over the last 3 months. We have collected data for two different technical indicators, which can help you to evaluate if expected returns of 16.13% are justified by taking the suggested risk. The company secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and National Storm are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
National Storm Management has no correlation between past and present. Overlapping area represents the amount of predictability between National Storm time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st 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 National Storm Management price movement. The serial correlation of 0.0 indicates that just 0.0% of current National Storm price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
National Storm Management lagged returns against current returns
Autocorrelation, which is National Storm 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 National Storm's stock expected returns. We can calculate the autocorrelation of National Storm returns to help us make a trade decision. For example, suppose you find that National Storm 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 |
National Storm 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 National Storm stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if National Storm stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in National Storm stock over time.
Current vs Lagged Prices |
| Timeline |
National Storm Lagged Returns
When evaluating National Storm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of National Storm stock have on its future price. National Storm 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, National Storm autocorrelation shows the relationship between National Storm stock current value and its past values and can show if there is a momentum factor associated with investing in National Storm Management.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether National Storm Management is a strong investment it is important to analyze National Storm'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 National Storm's future performance. For an informed investment choice regarding National Stock, refer to the following important reports:Check out National Storm Correlation, National Storm Volatility and National Storm Alpha and Beta module to complement your research on National Storm. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
National Storm 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.