Vector Group Stock Market Value
| VGR Stock | USD 10.99 0.15 1.38% |
| Symbol | Vector |
Vector Group Price To Book Ratio
Is Vector's industry 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 Vector. If investors know Vector 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 Vector listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Dividend Share 0.8 | Earnings Share 1.16 | Revenue Per Share 6.134 | Quarterly Revenue Growth 0.011 | Return On Assets 0.2211 |
The market value of Vector Group is measured differently than its book value, which is the value of Vector that is recorded on the company's balance sheet. Investors also form their own opinion of Vector's value that differs from its market value or its book value, called intrinsic value, which is Vector'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 Vector's market value can be influenced by many factors that don't directly affect Vector'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 Vector's value and its price as these two are different measures arrived at by different means. Investors typically determine if Vector is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vector'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.
Vector '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 Vector'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 Vector.
| 04/13/2024 |
| 05/13/2024 |
If you would invest 0.00 in Vector on April 13, 2024 and sell it all today you would earn a total of 0.00 from holding Vector Group or generate 0.0% return on investment in Vector over 30 days. Vector is related to or competes with TAAT Global, and Greenlane Holdings. Vector Group Ltd., through its subsidiaries, manufactures and sells cigarettes in the United States More
Vector 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 Vector'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 Vector Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.55 | |||
| Information Ratio | 0.0338 | |||
| Maximum Drawdown | 25.47 | |||
| Value At Risk | (3.13) | |||
| Potential Upside | 4.7 |
Vector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vector's standard deviation. In reality, there are many statistical measures that can use Vector historical prices to predict the future Vector's volatility.| Risk Adjusted Performance | 0.0467 | |||
| Jensen Alpha | 0.0586 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0378 | |||
| Treynor Ratio | 0.112 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vector'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.
Vector Group Backtested Returns
We consider Vector not too volatile. Vector Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0655, which indicates the firm had a 0.0655% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vector Group, which you can use to evaluate the volatility of the company. Please validate Vector's Semi Deviation of 2.31, risk adjusted performance of 0.0467, and Coefficient Of Variation of 1588.36 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. Vector has a performance score of 5 on a scale of 0 to 100. The entity has a beta of 1.51, which indicates 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, Vector will likely underperform. Vector Group right now has a risk of 2.82%. Please validate Vector sortino ratio, as well as the relationship between the semi variance and rate of daily change , to decide if Vector will be following its existing price patterns.
Auto-correlation | 0.38 |
Below average predictability
Vector Group has below average predictability. Overlapping area represents the amount of predictability between Vector time series from 13th of April 2024 to 28th of April 2024 and 28th of April 2024 to 13th of May 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 Vector Group price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Vector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Vector Group lagged returns against current returns
Autocorrelation, which is Vector 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 Vector's stock expected returns. We can calculate the autocorrelation of Vector returns to help us make a trade decision. For example, suppose you find that Vector 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 |
Vector 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 Vector stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vector stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vector stock over time.
Current vs Lagged Prices |
| Timeline |
Vector Lagged Returns
When evaluating Vector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vector stock have on its future price. Vector 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, Vector autocorrelation shows the relationship between Vector stock current value and its past values and can show if there is a momentum factor associated with investing in Vector Group.
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.When determining whether Vector Group is a strong investment it is important to analyze Vector's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Vector's future performance. For an informed investment choice regarding Vector Stock, refer to the following important reports:Check out Vector Correlation, Vector Volatility and Vector Alpha and Beta module to complement your research on Vector. Note that the Vector Group information on this page should be used as a complementary analysis to other Vector's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Complementary Tools for Vector Stock analysis
When running Vector's price analysis, check to measure Vector's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Vector is operating at the current time. Most of Vector's value examination focuses on studying past and present price action to predict the probability of Vector's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vector's price. Additionally, you may evaluate how the addition of Vector to your portfolios can decrease your overall portfolio volatility.
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Vector 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.