Veon Stock Market Value
VEON Stock | USD 32.51 0.39 1.19% |
Symbol | VEON |
VEON Price To Book Ratio
Is Wireless Telecommunication Services space 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 VEON. If investors know VEON 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 VEON listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.71) | Earnings Share 3.89 | Revenue Per Share 54.732 | Quarterly Revenue Growth 0.121 | Return On Assets 0.0595 |
The market value of VEON is measured differently than its book value, which is the value of VEON that is recorded on the company's balance sheet. Investors also form their own opinion of VEON's value that differs from its market value or its book value, called intrinsic value, which is VEON'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 VEON's market value can be influenced by many factors that don't directly affect VEON'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 VEON's value and its price as these two are different measures arrived at by different means. Investors typically determine if VEON is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VEON'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.
VEON '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 VEON'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 VEON.
10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in VEON on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding VEON or generate 0.0% return on investment in VEON over 30 days. VEON is related to or competes with Liberty Broadband, Ooma, IDT, Radcom, Liberty Broadband, and Liberty Broadband. VEON Ltd., through its subsidiaries, provides mobile and fixed-line telecommunications services More
VEON 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 VEON'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 VEON upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.13 | |||
Information Ratio | 0.0743 | |||
Maximum Drawdown | 12.43 | |||
Value At Risk | (3.39) | |||
Potential Upside | 4.94 |
VEON Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VEON's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VEON's standard deviation. In reality, there are many statistical measures that can use VEON historical prices to predict the future VEON's volatility.Risk Adjusted Performance | 0.1045 | |||
Jensen Alpha | 0.2413 | |||
Total Risk Alpha | (0.08) | |||
Sortino Ratio | 0.084 | |||
Treynor Ratio | 0.6279 |
VEON Backtested Returns
VEON appears to be not too volatile, given 3 months investment horizon. VEON owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the firm had a 0.14% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for VEON, which you can use to evaluate the volatility of the company. Please review VEON's coefficient of variation of 782.59, and Risk Adjusted Performance of 0.1045 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, VEON holds a performance score of 11. The entity has a beta of 0.47, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, VEON's returns are expected to increase less than the market. However, during the bear market, the loss of holding VEON is expected to be smaller as well. Please check VEON's value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether VEON's existing price patterns will revert.
Auto-correlation | -0.36 |
Poor reverse predictability
VEON has poor reverse predictability. Overlapping area represents the amount of predictability between VEON time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 VEON price movement. The serial correlation of -0.36 indicates that just about 36.0% of current VEON price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.36 | |
Spearman Rank Test | -0.78 | |
Residual Average | 0.0 | |
Price Variance | 1.01 |
VEON lagged returns against current returns
Autocorrelation, which is VEON 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 VEON's stock expected returns. We can calculate the autocorrelation of VEON returns to help us make a trade decision. For example, suppose you find that VEON 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 |
VEON 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 VEON stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VEON stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VEON stock over time.
Current vs Lagged Prices |
Timeline |
VEON Lagged Returns
When evaluating VEON's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VEON stock have on its future price. VEON 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, VEON autocorrelation shows the relationship between VEON stock current value and its past values and can show if there is a momentum factor associated with investing in VEON.
Regressed Prices |
Timeline |
Pair Trading with VEON
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 VEON 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 VEON will appreciate offsetting losses from the drop in the long position's value.Moving together with VEON Stock
0.84 | T | ATT Inc Sell-off Trend | PairCorr |
Moving against VEON Stock
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0.68 | PHI | PLDT Inc ADR | PairCorr |
The ability to find closely correlated positions to VEON could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace VEON 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 VEON - 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 VEON to buy it.
The correlation of VEON 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 VEON moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if VEON 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 VEON 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.Check out VEON Correlation, VEON Volatility and VEON Alpha and Beta module to complement your research on VEON. To learn how to invest in VEON Stock, please use our How to Invest in VEON guide.You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
VEON 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.