Sonim Technologies Stock Market Value
| SONM Stock | USD 3.26 0.52 13.76% |
| Symbol | Sonim |
Is Technology Hardware, Storage & Peripherals 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 Sonim Technologies. If investors know Sonim 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 Sonim Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Sonim Technologies is measured differently than its book value, which is the value of Sonim that is recorded on the company's balance sheet. Investors also form their own opinion of Sonim Technologies' value that differs from its market value or its book value, called intrinsic value, which is Sonim Technologies' 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 Sonim Technologies' market value can be influenced by many factors that don't directly affect Sonim Technologies' 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 Sonim Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Sonim Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sonim Technologies' 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.
Sonim Technologies '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 Sonim Technologies' 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 Sonim Technologies.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Sonim Technologies on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Sonim Technologies or generate 0.0% return on investment in Sonim Technologies over 30 days. Sonim Technologies is related to or competes with Farmmi, and Sonnet Biotherapeutics. Sonim Technologies, Inc. provides ruggedized mobile phones and accessories for task workers More
Sonim Technologies 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 Sonim Technologies' 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 Sonim Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 26.18 | |||
| Value At Risk | (6.50) | |||
| Potential Upside | 7.91 |
Sonim Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sonim Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sonim Technologies' standard deviation. In reality, there are many statistical measures that can use Sonim Technologies historical prices to predict the future Sonim Technologies' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | 2.39 |
Sonim Technologies Backtested Returns
Sonim Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0286, which indicates the firm had a -0.0286% return per unit of risk over the last 3 months. Sonim Technologies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sonim Technologies' Coefficient Of Variation of (3,501), variance of 22.05, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of -0.0602, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sonim Technologies are expected to decrease at a much lower rate. During the bear market, Sonim Technologies is likely to outperform the market. At this point, Sonim Technologies has a negative expected return of -0.13%. Please make sure to validate Sonim Technologies' treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Sonim Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.63 |
Very good reverse predictability
Sonim Technologies has very good reverse predictability. Overlapping area represents the amount of predictability between Sonim Technologies time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th of January 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 Sonim Technologies price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Sonim Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Sonim Technologies lagged returns against current returns
Autocorrelation, which is Sonim Technologies 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 Sonim Technologies' stock expected returns. We can calculate the autocorrelation of Sonim Technologies returns to help us make a trade decision. For example, suppose you find that Sonim Technologies 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 |
Sonim Technologies 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 Sonim Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sonim Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sonim Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Sonim Technologies Lagged Returns
When evaluating Sonim Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sonim Technologies stock have on its future price. Sonim Technologies 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, Sonim Technologies autocorrelation shows the relationship between Sonim Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Sonim Technologies.
Regressed Prices |
| Timeline |
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Sonim Technologies 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.