Moneyonmobile Stock Market Value
| MOMT Stock | USD 0.07 0.00 0.00% |
| Symbol | MoneyOnMobile |
MoneyOnMobile '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 MoneyOnMobile's pink sheet 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 MoneyOnMobile.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in MoneyOnMobile on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding MoneyOnMobile or generate 0.0% return on investment in MoneyOnMobile over 30 days. MoneyOnMobile, Inc. offers MoneyOnMobile, a mobile SMS and smart phone application More
MoneyOnMobile 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 MoneyOnMobile's pink sheet 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 MoneyOnMobile upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 27.39 | |||
| Information Ratio | 0.1433 | |||
| Maximum Drawdown | 5050.0 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 100.0 |
MoneyOnMobile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MoneyOnMobile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MoneyOnMobile's standard deviation. In reality, there are many statistical measures that can use MoneyOnMobile historical prices to predict the future MoneyOnMobile's volatility.| Risk Adjusted Performance | 0.1109 | |||
| Jensen Alpha | 91.48 | |||
| Total Risk Alpha | 27.0 | |||
| Sortino Ratio | 3.24 | |||
| Treynor Ratio | (2.42) |
MoneyOnMobile Backtested Returns
MoneyOnMobile is out of control given 3 months investment horizon. MoneyOnMobile has Sharpe Ratio of 0.19, which conveys that the firm had a 0.19 % return per unit of risk over the last 3 months. We have collected data for twenty-three different technical indicators, which can help you to evaluate if expected returns of 29.19% are justified by taking the suggested risk. Use MoneyOnMobile Coefficient Of Variation of 697.36, mean deviation of 169.5, and Risk Adjusted Performance of 0.1109 to evaluate company specific risk that cannot be diversified away. MoneyOnMobile holds a performance score of 15 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -36.67, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning MoneyOnMobile are expected to decrease by larger amounts. On the other hand, during market turmoil, MoneyOnMobile is expected to outperform it. Use MoneyOnMobile jensen alpha, potential upside, as well as the relationship between the Potential Upside and rate of daily change , to analyze future returns on MoneyOnMobile.
Auto-correlation | 0.00 |
No correlation between past and present
MoneyOnMobile has no correlation between past and present. Overlapping area represents the amount of predictability between MoneyOnMobile time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 MoneyOnMobile price movement. The serial correlation of 0.0 indicates that just 0.0% of current MoneyOnMobile price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MoneyOnMobile lagged returns against current returns
Autocorrelation, which is MoneyOnMobile pink sheet'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 MoneyOnMobile's pink sheet expected returns. We can calculate the autocorrelation of MoneyOnMobile returns to help us make a trade decision. For example, suppose you find that MoneyOnMobile has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
MoneyOnMobile 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 MoneyOnMobile pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MoneyOnMobile pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MoneyOnMobile pink sheet over time.
Current vs Lagged Prices |
| Timeline |
MoneyOnMobile Lagged Returns
When evaluating MoneyOnMobile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MoneyOnMobile pink sheet have on its future price. MoneyOnMobile 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, MoneyOnMobile autocorrelation shows the relationship between MoneyOnMobile pink sheet current value and its past values and can show if there is a momentum factor associated with investing in MoneyOnMobile.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for MoneyOnMobile Pink Sheet Analysis
When running MoneyOnMobile's price analysis, check to measure MoneyOnMobile'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 MoneyOnMobile is operating at the current time. Most of MoneyOnMobile's value examination focuses on studying past and present price action to predict the probability of MoneyOnMobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MoneyOnMobile's price. Additionally, you may evaluate how the addition of MoneyOnMobile to your portfolios can decrease your overall portfolio volatility.