Mobile Infrastructure Stock Market Value
| BEEP Stock | 2.92 0.08 2.82% |
| Symbol | Mobile |
Can Stock industry sustain growth momentum? Does Mobile have expansion opportunities? Factors like these will boost the valuation of Mobile Infrastructure. Projected growth potential of Mobile fundamentally drives upward valuation adjustments. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Mobile Infrastructure demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Investors evaluate Mobile Infrastructure using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Mobile Infrastructure's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Mobile Infrastructure's market price to deviate significantly from intrinsic value.
It's important to distinguish between Mobile Infrastructure's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Mobile Infrastructure should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Mobile Infrastructure's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Mobile Infrastructure on October 31, 2025 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 90 days. Mobile Infrastructure is related to or competes with Comstock Holding, Orion Office, Alset Ehome, Franklin Street, AMREP, Sunrise Realty, and Granite Point. 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.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.12 |
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 | (0.02) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.13) |
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 January 29, 2026 Technical Indicators
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| Risk Adjusted Performance | (0.02) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 2.92 | |||
| Coefficient Of Variation | (2,213) | |||
| Standard Deviation | 3.99 | |||
| Variance | 15.92 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.12 | |||
| Skewness | 0.0622 | |||
| Kurtosis | 0.7389 |
Mobile Infrastructure Backtested Returns
Mobile Infrastructure has Sharpe Ratio of -0.0452, which conveys that the firm had a -0.0452 % return per unit of risk over the last 3 months. Mobile Infrastructure exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mobile Infrastructure's Risk Adjusted Performance of (0.02), standard deviation of 3.99, and Mean Deviation of 2.92 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.43, 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 -0.18%. Please make sure to verify Mobile Infrastructure's standard deviation, kurtosis, relative strength index, as well as the relationship between the maximum drawdown and day median price , to decide if Mobile Infrastructure performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.11 |
Insignificant predictability
Mobile Infrastructure has insignificant predictability. Overlapping area represents the amount of predictability between Mobile Infrastructure time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. 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 0.11 indicates that less than 11.0% of current Mobile Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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 together with Mobile Stock
Moving against Mobile Stock
| 0.67 | MRK | Merck Company Earnings Call This Week | PairCorr |
| 0.64 | WMT | Walmart Common Stock | PairCorr |
| 0.64 | VLKPF | Volkswagen AG VZO | PairCorr |
| 0.62 | SAR | Saratoga Investment Corp | PairCorr |
| 0.62 | ACN | Accenture plc | 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.