Mobile Infrastructure Stock Market Value
| BEEP Stock | 3.26 0.08 2.52% |
| Symbol | Mobile |
Mobile Infrastructure Price To Book Ratio
Is Transportation Infrastructure 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 Infrastructure. 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 Infrastructure listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.53) | Revenue Per Share 1.616 | Quarterly Revenue Growth 0.284 | Return On Assets (0.01) | Return On Equity (0.19) |
The market value of Mobile Infrastructure 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 Infrastructure's value that differs from its market value or its book value, called intrinsic value, which is Mobile Infrastructure'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 Infrastructure's market value can be influenced by many factors that don't directly affect Mobile Infrastructure'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 Infrastructure's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mobile Infrastructure is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mobile Infrastructure'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 Infrastructure '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 Infrastructure'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 Infrastructure.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Mobile Infrastructure on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Mobile Infrastructure or generate 0.0% return on investment in Mobile Infrastructure over 30 days. Mobile Infrastructure is related to or competes with Addus HomeCare, United Homes, Oatly Group, Bassett Furniture, Smith Douglas, Haverty Furniture, and Ambev SA. Mobile Infrastructure is entity of United States More
Mobile Infrastructure 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 Infrastructure'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 Infrastructure upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.98 | |||
| Information Ratio | 0.0057 | |||
| Maximum Drawdown | 21.83 | |||
| Value At Risk | (8.38) | |||
| Potential Upside | 9.34 |
Mobile Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mobile Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mobile Infrastructure's standard deviation. In reality, there are many statistical measures that can use Mobile Infrastructure historical prices to predict the future Mobile Infrastructure's volatility.| Risk Adjusted Performance | 0.0323 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.64) | |||
| Sortino Ratio | 0.0058 | |||
| Treynor Ratio | 0.1025 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Infrastructure'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 Infrastructure Backtested Returns
Mobile Infrastructure has Sharpe Ratio of -0.0077, which conveys that the firm had a -0.0077% return per unit of risk over the last 3 months. Mobile Infrastructure exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mobile Infrastructure's Mean Deviation of 3.95, risk adjusted performance of 0.0323, and Downside Deviation of 4.98 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.44, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Mobile Infrastructure will likely underperform. At this point, Mobile Infrastructure has a negative expected return of -0.0376%. Please make sure to verify Mobile Infrastructure's value at risk, daily balance of power, and the relationship between the total risk alpha and expected short fall , to decide if Mobile Infrastructure performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.03 |
Very weak reverse predictability
Mobile Infrastructure has very weak reverse predictability. Overlapping area represents the amount of predictability between Mobile Infrastructure time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Mobile Infrastructure price movement. The serial correlation of -0.03 indicates that only 3.0% of current Mobile Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Mobile Infrastructure lagged returns against current returns
Autocorrelation, which is Mobile Infrastructure 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 Infrastructure's stock expected returns. We can calculate the autocorrelation of Mobile Infrastructure returns to help us make a trade decision. For example, suppose you find that Mobile Infrastructure 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 Infrastructure 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 Infrastructure stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mobile Infrastructure stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mobile Infrastructure stock over time.
Current vs Lagged Prices |
| Timeline |
Mobile Infrastructure Lagged Returns
When evaluating Mobile Infrastructure's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mobile Infrastructure stock have on its future price. Mobile Infrastructure 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 Infrastructure autocorrelation shows the relationship between Mobile Infrastructure stock current value and its past values and can show if there is a momentum factor associated with investing in Mobile Infrastructure.
Regressed Prices |
| Timeline |
Pair Trading with Mobile Infrastructure
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 Infrastructure 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 Infrastructure will appreciate offsetting losses from the drop in the long position's value.Moving against Mobile Stock
| 0.47 | B | Barnes Group | PairCorr |
| 0.44 | BW | Babcock Wilcox Enter | PairCorr |
| 0.42 | DY | Dycom Industries | PairCorr |
| 0.38 | IR | Ingersoll Rand | PairCorr |
| 0.37 | GE | GE Aerospace Fiscal Year End 28th of January 2025 | PairCorr |
The ability to find closely correlated positions to Mobile Infrastructure 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 Infrastructure 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 Infrastructure - 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 Infrastructure to buy it.
The correlation of Mobile Infrastructure 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 Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mobile Infrastructure 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 Infrastructure 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 Infrastructure's price analysis, check to measure Mobile Infrastructure'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 Infrastructure is operating at the current time. Most of Mobile Infrastructure's value examination focuses on studying past and present price action to predict the probability of Mobile Infrastructure'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 Infrastructure's price. Additionally, you may evaluate how the addition of Mobile Infrastructure to your portfolios can decrease your overall portfolio volatility.