Vecima Networks Stock Market Value
| VNWTF Stock | USD 10.34 0.55 5.05% |
| Symbol | Vecima |
Vecima Networks '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 Vecima Networks' 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 Vecima Networks.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in Vecima Networks on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Vecima Networks or generate 0.0% return on investment in Vecima Networks over 30 days. Vecima Networks is related to or competes with Extreme Networks, ADTRAN, NETGEAR, Digi International, Harmonic, CommScope Holding, and Comtech Telecommunicatio. Vecima Networks Inc. engages in the development of integrated hardware and software solutions for broadband access, cont... More
Vecima Networks 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 Vecima Networks' 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 Vecima Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 31.09 | |||
| Value At Risk | (3.92) | |||
| Potential Upside | 0.2418 |
Vecima Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vecima Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vecima Networks' standard deviation. In reality, there are many statistical measures that can use Vecima Networks historical prices to predict the future Vecima Networks' volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | 3.46 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vecima Networks' 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.
Vecima Networks Backtested Returns
Vecima Networks owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.23, which indicates the firm had a -0.23% return per unit of risk over the last 3 months. Vecima Networks exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vecima Networks' Variance of 10.26, risk adjusted performance of (0.13), and Coefficient Of Variation of (581.30) to confirm the risk estimate we provide. The entity has a beta of -0.16, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vecima Networks are expected to decrease at a much lower rate. During the bear market, Vecima Networks is likely to outperform the market. At this point, Vecima Networks has a negative expected return of -0.68%. Please make sure to validate Vecima Networks' treynor ratio, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Vecima Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Vecima Networks has modest predictability. Overlapping area represents the amount of predictability between Vecima Networks time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st of December 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 Vecima Networks price movement. The serial correlation of 0.54 indicates that about 54.0% of current Vecima Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
Vecima Networks lagged returns against current returns
Autocorrelation, which is Vecima Networks 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 Vecima Networks' pink sheet expected returns. We can calculate the autocorrelation of Vecima Networks returns to help us make a trade decision. For example, suppose you find that Vecima Networks 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 |
Vecima Networks 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 Vecima Networks pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vecima Networks pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vecima Networks pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Vecima Networks Lagged Returns
When evaluating Vecima Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vecima Networks pink sheet have on its future price. Vecima Networks 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, Vecima Networks autocorrelation shows the relationship between Vecima Networks pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Vecima Networks.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Vecima Pink Sheet
Vecima Networks financial ratios help investors to determine whether Vecima Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vecima with respect to the benefits of owning Vecima Networks security.