Neuronetics Stock Market Value
| STIM Stock | USD 4.52 0.11 2.49% |
| Symbol | Neuronetics |
Neuronetics Price To Book Ratio
Is Health Care Equipment & Supplies 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 Neuronetics. If investors know Neuronetics 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 Neuronetics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.37) | Revenue Per Share | Quarterly Revenue Growth 0.107 | Return On Assets | Return On Equity |
The market value of Neuronetics is measured differently than its book value, which is the value of Neuronetics that is recorded on the company's balance sheet. Investors also form their own opinion of Neuronetics' value that differs from its market value or its book value, called intrinsic value, which is Neuronetics' 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 Neuronetics' market value can be influenced by many factors that don't directly affect Neuronetics' 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 Neuronetics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Neuronetics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Neuronetics' 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.
Neuronetics '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 Neuronetics' 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 Neuronetics.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Neuronetics on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Neuronetics or generate 0.0% return on investment in Neuronetics over 90 days. Neuronetics is related to or competes with Burning Rock, DarioHealth Corp, Sera Prognostics, Biodesix, Fonar, Enzo Biochem, and Exagen. Neuronetics, Inc., a commercial stage medical technology company, designs, develops, and markets products for patients w... More
Neuronetics 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 Neuronetics' 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 Neuronetics upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.43 | |||
| Information Ratio | 0.2619 | |||
| Maximum Drawdown | 51.44 | |||
| Value At Risk | (10.80) | |||
| Potential Upside | 18.78 |
Neuronetics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Neuronetics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Neuronetics' standard deviation. In reality, there are many statistical measures that can use Neuronetics historical prices to predict the future Neuronetics' volatility.| Risk Adjusted Performance | 0.2279 | |||
| Jensen Alpha | 2.42 | |||
| Total Risk Alpha | 3.5 | |||
| Sortino Ratio | 0.3291 | |||
| Treynor Ratio | 2.98 |
Neuronetics Backtested Returns
Neuronetics is dangerous given 3 months investment horizon. Neuronetics has Sharpe Ratio of 0.3, which conveys that the firm had a 0.3 % return per unit of risk over the last 3 months. We were able to collect and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 2.82% are justified by taking the suggested risk. Use Neuronetics Risk Adjusted Performance of 0.2279, downside deviation of 7.43, and Mean Deviation of 6.98 to evaluate company specific risk that cannot be diversified away. Neuronetics holds a performance score of 23 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 0.78, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Neuronetics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Neuronetics is expected to be smaller as well. Use Neuronetics downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to analyze future returns on Neuronetics.
Auto-correlation | 0.66 |
Good predictability
Neuronetics has good predictability. Overlapping area represents the amount of predictability between Neuronetics time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Neuronetics price movement. The serial correlation of 0.66 indicates that around 66.0% of current Neuronetics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Neuronetics lagged returns against current returns
Autocorrelation, which is Neuronetics 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 Neuronetics' stock expected returns. We can calculate the autocorrelation of Neuronetics returns to help us make a trade decision. For example, suppose you find that Neuronetics 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 |
Neuronetics 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 Neuronetics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Neuronetics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Neuronetics stock over time.
Current vs Lagged Prices |
| Timeline |
Neuronetics Lagged Returns
When evaluating Neuronetics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Neuronetics stock have on its future price. Neuronetics 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, Neuronetics autocorrelation shows the relationship between Neuronetics stock current value and its past values and can show if there is a momentum factor associated with investing in Neuronetics.
Regressed Prices |
| Timeline |
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Neuronetics 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.