High Wire Networks Stock Market Value
| HWNI Stock | USD 0.03 0 7.72% |
| Symbol | High |
High Wire '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 High Wire's otc 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 High Wire.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in High Wire on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding High Wire Networks or generate 0.0% return on investment in High Wire over 720 days. High Wire Networks, Inc. offers outsourced services to the wireless and wireline industry in Puerto Rico, Canada, and th... More
High Wire 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 High Wire's otc 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 High Wire Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 24.79 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 12.47 |
High Wire Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High Wire's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High Wire's standard deviation. In reality, there are many statistical measures that can use High Wire historical prices to predict the future High Wire's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.93) | |||
| Treynor Ratio | (0.13) |
High Wire Networks Backtested Returns
High Wire Networks holds Efficiency (Sharpe) Ratio of -0.0445, which attests that the entity had a -0.0445% return per unit of risk over the last 3 months. High Wire Networks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out High Wire's Market Risk Adjusted Performance of (0.12), risk adjusted performance of (0.01), and Standard Deviation of 5.72 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.41, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, High Wire will likely underperform. At this point, High Wire Networks has a negative expected return of -0.24%. Please make sure to check out High Wire's maximum drawdown, as well as the relationship between the accumulation distribution and market facilitation index , to decide if High Wire Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.40 |
Average predictability
High Wire Networks has average predictability. Overlapping area represents the amount of predictability between High Wire time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 High Wire Networks price movement. The serial correlation of 0.4 indicates that just about 40.0% of current High Wire price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
High Wire Networks lagged returns against current returns
Autocorrelation, which is High Wire otc 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 High Wire's otc stock expected returns. We can calculate the autocorrelation of High Wire returns to help us make a trade decision. For example, suppose you find that High Wire has exhibited high autocorrelation historically, and you observe that the otc 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 |
High Wire 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 High Wire otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if High Wire otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in High Wire otc stock over time.
Current vs Lagged Prices |
| Timeline |
High Wire Lagged Returns
When evaluating High Wire's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of High Wire otc stock have on its future price. High Wire 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, High Wire autocorrelation shows the relationship between High Wire otc stock current value and its past values and can show if there is a momentum factor associated with investing in High Wire Networks.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in High OTC Stock
High Wire financial ratios help investors to determine whether High OTC 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 High with respect to the benefits of owning High Wire security.