Radcom Stock Market Value
RDCM Stock | USD 11.80 0.18 1.55% |
Symbol | Radcom |
Radcom Price To Book Ratio
Is Communications Equipment 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 Radcom. If investors know Radcom 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 Radcom listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.187 | Earnings Share 0.46 | Revenue Per Share 3.652 | Quarterly Revenue Growth 0.196 | Return On Assets 0.0043 |
The market value of Radcom is measured differently than its book value, which is the value of Radcom that is recorded on the company's balance sheet. Investors also form their own opinion of Radcom's value that differs from its market value or its book value, called intrinsic value, which is Radcom'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 Radcom's market value can be influenced by many factors that don't directly affect Radcom'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 Radcom's value and its price as these two are different measures arrived at by different means. Investors typically determine if Radcom is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Radcom'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.
Radcom '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 Radcom'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 Radcom.
10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Radcom on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Radcom or generate 0.0% return on investment in Radcom over 30 days. Radcom is related to or competes with Ichor Holdings, Fabrinet, Hello, and Ultra Clean. RADCOM Ltd. provides 5G ready cloud-native network intelligence and service assurance solutions for telecom operators or... More
Radcom 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 Radcom'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 Radcom upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.48 | |||
Information Ratio | 0.0652 | |||
Maximum Drawdown | 19.9 | |||
Value At Risk | (5.38) | |||
Potential Upside | 5.4 |
Radcom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Radcom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Radcom's standard deviation. In reality, there are many statistical measures that can use Radcom historical prices to predict the future Radcom's volatility.Risk Adjusted Performance | 0.0884 | |||
Jensen Alpha | 0.2997 | |||
Total Risk Alpha | (0.18) | |||
Sortino Ratio | 0.0611 | |||
Treynor Ratio | 1.19 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Radcom'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.
Radcom Backtested Returns
Radcom appears to be somewhat reliable, given 3 months investment horizon. Radcom maintains Sharpe Ratio (i.e., Efficiency) of 0.0783, which implies the firm had a 0.0783% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Radcom, which you can use to evaluate the volatility of the company. Please evaluate Radcom's Risk Adjusted Performance of 0.0884, coefficient of variation of 949.43, and Semi Deviation of 3.12 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Radcom holds a performance score of 6. The company holds a Beta of 0.28, which implies not very significant fluctuations relative to the market. As returns on the market increase, Radcom's returns are expected to increase less than the market. However, during the bear market, the loss of holding Radcom is expected to be smaller as well. Please check Radcom's jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Radcom's historical price patterns will revert.
Auto-correlation | 0.55 |
Modest predictability
Radcom has modest predictability. Overlapping area represents the amount of predictability between Radcom time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Radcom price movement. The serial correlation of 0.55 indicates that about 55.0% of current Radcom price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.55 | |
Spearman Rank Test | 0.37 | |
Residual Average | 0.0 | |
Price Variance | 0.21 |
Radcom lagged returns against current returns
Autocorrelation, which is Radcom 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 Radcom's stock expected returns. We can calculate the autocorrelation of Radcom returns to help us make a trade decision. For example, suppose you find that Radcom 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 |
Radcom 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 Radcom stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Radcom stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Radcom stock over time.
Current vs Lagged Prices |
Timeline |
Radcom Lagged Returns
When evaluating Radcom's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Radcom stock have on its future price. Radcom 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, Radcom autocorrelation shows the relationship between Radcom stock current value and its past values and can show if there is a momentum factor associated with investing in Radcom.
Regressed Prices |
Timeline |
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Radcom 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.