Verizon Communications (Brazil) Market Value
| VERZ34 Stock | BRL 41.12 0.89 2.21% |
| Symbol | Verizon |
Verizon Communications '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 Verizon Communications' 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 Verizon Communications.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Verizon Communications on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Verizon Communications or generate 0.0% return on investment in Verizon Communications over 30 days. Verizon Communications is related to or competes with T Mobile, Vodafone Group, ATT, Telefnica Brasil, and Oi SA. Verizon Communications Inc. offers communications, technology, information, and entertainment products and services to c... More
Verizon Communications 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 Verizon Communications' 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 Verizon Communications upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.61 | |||
| Information Ratio | 0.0434 | |||
| Maximum Drawdown | 7.91 | |||
| Value At Risk | (2.36) | |||
| Potential Upside | 2.78 |
Verizon Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Verizon Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Verizon Communications' standard deviation. In reality, there are many statistical measures that can use Verizon Communications historical prices to predict the future Verizon Communications' volatility.| Risk Adjusted Performance | 0.0855 | |||
| Jensen Alpha | 0.194 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0406 | |||
| Treynor Ratio | (0.30) |
Verizon Communications Backtested Returns
At this point, Verizon Communications is very steady. Verizon Communications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Verizon Communications, which you can use to evaluate the volatility of the company. Please validate Verizon Communications' Risk Adjusted Performance of 0.0855, coefficient of variation of 935.6, and Semi Deviation of 1.39 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. Verizon Communications has a performance score of 8 on a scale of 0 to 100. The entity has a beta of -0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Verizon Communications are expected to decrease at a much lower rate. During the bear market, Verizon Communications is likely to outperform the market. Verizon Communications right now has a risk of 1.54%. Please validate Verizon Communications semi variance, accumulation distribution, and the relationship between the potential upside and skewness , to decide if Verizon Communications will be following its existing price patterns.
Auto-correlation | 0.04 |
Virtually no predictability
Verizon Communications has virtually no predictability. Overlapping area represents the amount of predictability between Verizon Communications time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 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 Verizon Communications price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Verizon Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.7 |
Verizon Communications lagged returns against current returns
Autocorrelation, which is Verizon Communications 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 Verizon Communications' stock expected returns. We can calculate the autocorrelation of Verizon Communications returns to help us make a trade decision. For example, suppose you find that Verizon Communications 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 |
Verizon Communications 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 Verizon Communications stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Verizon Communications stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Verizon Communications stock over time.
Current vs Lagged Prices |
| Timeline |
Verizon Communications Lagged Returns
When evaluating Verizon Communications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Verizon Communications stock have on its future price. Verizon Communications 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, Verizon Communications autocorrelation shows the relationship between Verizon Communications stock current value and its past values and can show if there is a momentum factor associated with investing in Verizon Communications.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Verizon Stock
When determining whether Verizon Communications offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Verizon Communications' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Verizon Communications Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Verizon Communications Stock:Check out Verizon Communications Correlation, Verizon Communications Volatility and Verizon Communications Alpha and Beta module to complement your research on Verizon Communications. For information on how to trade Verizon Stock refer to our How to Trade Verizon Stock guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Verizon Communications 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.