Vecima Networks Stock Market Value
| VCM Stock | CAD 22.10 0.01 0.05% |
| Symbol | Vecima |
Vecima Networks Price To Book Ratio
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' 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 Vecima Networks.
| 06/26/2024 |
| 07/26/2024 |
If you would invest 0.00 in Vecima Networks on June 26, 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 Purpose Multi, KP Tissue, Financial, Rubicon Organics, and Amazon CDR. Vecima Networks Inc. provides technology solutions that empower network service providers to connect people and enterpri... 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' 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 Vecima Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.01 | |||
| Information Ratio | 0.033 | |||
| Maximum Drawdown | 17.03 | |||
| Value At Risk | (3.06) | |||
| Potential Upside | 2.57 |
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 | 0.0493 | |||
| Jensen Alpha | 0.1107 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0353 | |||
| Treynor Ratio | 0.412 |
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
As of now, Vecima Stock is very steady. Vecima Networks owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0855, which indicates the firm had a 0.0855% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Vecima Networks, which you can use to evaluate the volatility of the company. Please validate Vecima Networks' Coefficient Of Variation of 1548.19, semi deviation of 1.49, and Risk Adjusted Performance of 0.0493 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. Vecima Networks has a performance score of 6 on a scale of 0 to 100. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vecima Networks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Vecima Networks is expected to be smaller as well. Vecima Networks right now has a risk of 2.19%. Please validate Vecima Networks jensen alpha, semi variance, price action indicator, as well as the relationship between the maximum drawdown and daily balance of power , to decide if Vecima Networks will be following its existing price patterns.
Auto-correlation | 0.64 |
Good predictability
Vecima Networks has good predictability. Overlapping area represents the amount of predictability between Vecima Networks time series from 26th of June 2024 to 11th of July 2024 and 11th of July 2024 to 26th of July 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 0.64 indicates that roughly 64.0% of current Vecima Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Vecima Networks lagged returns against current returns
Autocorrelation, which is Vecima Networks 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 Vecima Networks' stock 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 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 |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vecima Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vecima Networks stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Vecima Networks.
Regressed Prices |
| Timeline |
Pair Trading with Vecima Networks
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Vecima Networks position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Vecima Networks will appreciate offsetting losses from the drop in the long position's value.Moving against Vecima Stock
The ability to find closely correlated positions to Vecima Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vecima Networks when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Vecima Networks - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Vecima Networks to buy it.
The correlation of Vecima Networks is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Vecima Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vecima Networks moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Vecima Networks can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Vecima Stock
Vecima Networks financial ratios help investors to determine whether Vecima Stock 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.