In Veritas Medical Stock Market Value
| IVME Stock | USD 0.0001 0.00 0.00% |
| Symbol | IVME |
In Veritas Medical Price To Book Ratio
Is Asset Management & Custody Banks 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 In Veritas. If investors know IVME 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 In Veritas listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.01) | Return On Assets (6.48) |
The market value of In Veritas Medical is measured differently than its book value, which is the value of IVME that is recorded on the company's balance sheet. Investors also form their own opinion of In Veritas' value that differs from its market value or its book value, called intrinsic value, which is In Veritas' 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 In Veritas' market value can be influenced by many factors that don't directly affect In Veritas' 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 In Veritas' value and its price as these two are different measures arrived at by different means. Investors typically determine if In Veritas is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, In Veritas' 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.
In Veritas '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 In Veritas' 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 In Veritas.
| 11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in In Veritas on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding In Veritas Medical or generate 0.0% return on investment in In Veritas over 30 days. In Veritas is related to or competes with PVH Corp, Figs, Nexstar Broadcasting, Nike, Bright Scholar, Yuexiu Transport, and Burlington Stores. In Veritas Medical Diagnostics, Inc., a development stage company, engages in the research and development of medical de... More
In Veritas 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 In Veritas' 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 In Veritas Medical upside and downside potential and time the market with a certain degree of confidence.
In Veritas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for In Veritas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as In Veritas' standard deviation. In reality, there are many statistical measures that can use In Veritas historical prices to predict the future In Veritas' volatility.In Veritas Medical Backtested Returns
We have found three technical indicators for In Veritas, which you can use to evaluate the volatility of the firm. The company owns a Beta (Systematic Risk) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and In Veritas are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
In Veritas Medical has no correlation between past and present. Overlapping area represents the amount of predictability between In Veritas time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 In Veritas Medical price movement. The serial correlation of 0.0 indicates that just 0.0% of current In Veritas 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 |
In Veritas Medical lagged returns against current returns
Autocorrelation, which is In Veritas 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 In Veritas' stock expected returns. We can calculate the autocorrelation of In Veritas returns to help us make a trade decision. For example, suppose you find that In Veritas 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 |
In Veritas 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 In Veritas stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if In Veritas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in In Veritas stock over time.
Current vs Lagged Prices |
| Timeline |
In Veritas Lagged Returns
When evaluating In Veritas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of In Veritas stock have on its future price. In Veritas 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, In Veritas autocorrelation shows the relationship between In Veritas stock current value and its past values and can show if there is a momentum factor associated with investing in In Veritas Medical.
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 In Veritas Medical is a strong investment it is important to analyze In Veritas' 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 In Veritas' future performance. For an informed investment choice regarding IVME Stock, refer to the following important reports:Check out In Veritas Correlation, In Veritas Volatility and In Veritas Alpha and Beta module to complement your research on In Veritas. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
In Veritas 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.