Mobile Health Network Solutions Stock Market Value
| MNDR Stock | 1.09 0.02 1.87% |
| Symbol | Mobile |
Mobile health Network Price To Book Ratio
Is Health Care Providers & Services 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 Mobile Health. If investors know Mobile 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 Mobile Health listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (7.10) | Revenue Per Share | Quarterly Revenue Growth (0.36) | Return On Assets | Return On Equity |
The market value of Mobile health Network is measured differently than its book value, which is the value of Mobile that is recorded on the company's balance sheet. Investors also form their own opinion of Mobile Health's value that differs from its market value or its book value, called intrinsic value, which is Mobile Health'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 Mobile Health's market value can be influenced by many factors that don't directly affect Mobile Health'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 Mobile Health's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mobile Health is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mobile Health'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.
Mobile Health '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 Mobile Health'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 Mobile Health.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Mobile Health on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Mobile health Network Solutions or generate 0.0% return on investment in Mobile Health over 90 days. Mobile Health is related to or competes with JBG SMITH, Academy Sports, Alexandria Real, HomeTrust Bancshares,, Hafnia, Leggett Platt, and Orion Office. Mobile Health is entity of United States More
Mobile Health 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 Mobile Health'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 Mobile health Network Solutions upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 22.69 | |||
| Value At Risk | (5.07) | |||
| Potential Upside | 5.61 |
Mobile Health Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mobile Health's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mobile Health's standard deviation. In reality, there are many statistical measures that can use Mobile Health historical prices to predict the future Mobile Health's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | 0.4963 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Health'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.
Mobile health Network Backtested Returns
Mobile health Network has Sharpe Ratio of -0.0981, which conveys that the firm had a -0.0981 % return per unit of risk over the last 3 months. Mobile Health exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mobile Health's Mean Deviation of 2.55, standard deviation of 3.65, and Risk Adjusted Performance of (0.09) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.86, which conveys possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Mobile Health are expected to decrease slowly. On the other hand, during market turmoil, Mobile Health is expected to outperform it slightly. At this point, Mobile health Network has a negative expected return of -0.37%. Please make sure to verify Mobile Health's day median price, relative strength index, as well as the relationship between the skewness and total risk alpha , to decide if Mobile health Network performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.52 |
Modest predictability
Mobile health Network Solutions has modest predictability. Overlapping area represents the amount of predictability between Mobile Health 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 Mobile health Network price movement. The serial correlation of 0.52 indicates that about 52.0% of current Mobile Health price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Mobile health Network lagged returns against current returns
Autocorrelation, which is Mobile Health 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 Mobile Health's stock expected returns. We can calculate the autocorrelation of Mobile Health returns to help us make a trade decision. For example, suppose you find that Mobile Health 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 |
Mobile Health 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 Mobile Health stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mobile Health stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mobile Health stock over time.
Current vs Lagged Prices |
| Timeline |
Mobile Health Lagged Returns
When evaluating Mobile Health's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mobile Health stock have on its future price. Mobile Health 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, Mobile Health autocorrelation shows the relationship between Mobile Health stock current value and its past values and can show if there is a momentum factor associated with investing in Mobile health Network Solutions.
Regressed Prices |
| Timeline |
Pair Trading with Mobile Health
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mobile Health position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mobile Health will appreciate offsetting losses from the drop in the long position's value.Moving against Mobile Stock
| 0.83 | DH | Definitive Healthcare | PairCorr |
| 0.76 | VVOS | Vivos Therapeutics | PairCorr |
| 0.71 | VNRX | Volitionrx | PairCorr |
| 0.69 | VEEV | Veeva Systems Class | PairCorr |
| 0.63 | OM | Outset Medical | PairCorr |
The ability to find closely correlated positions to Mobile Health could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mobile Health when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mobile Health - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mobile health Network Solutions to buy it.
The correlation of Mobile Health is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mobile Health moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mobile health Network moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mobile Health can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Mobile Stock Analysis
When running Mobile Health's price analysis, check to measure Mobile Health's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mobile Health is operating at the current time. Most of Mobile Health's value examination focuses on studying past and present price action to predict the probability of Mobile Health's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Health's price. Additionally, you may evaluate how the addition of Mobile Health to your portfolios can decrease your overall portfolio volatility.