VimpelCom Net Income

In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of VimpelCom, as well as the relationship between them.
Analyzing historical trends in various income statement and balance sheet accounts from VimpelCom's financial statements helps investors evaluate the company's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting VimpelCom's valuation are summarized below:
VimpelCom does not presently have any fundamental trend indicators for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.
  

Search Suggestions

V Visa Class ACompany
VIASP Via RenewablesCompany
VVR Invesco Senior IncomeFund
VB Vanguard Small Cap IndexETF
VXD DJIA VolatilityIndex
VIB VIBCryptocurrency
V3855MAA5 GRNKEN 43 13 DEC 28Corporate Bond
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
Competition
Based on the recorded statements, VimpelCom reported net income of (451 Million). This is much lower than that of the sector and significantly lower than that of the Net Income industry. The net income for all United States stocks is notably higher than that of the company.

VimpelCom Net Income Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses VimpelCom's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of VimpelCom could also be used in its relative valuation, which is a method of valuing VimpelCom by comparing valuation metrics of similar companies.
VimpelCom is currently under evaluation in net income category among its peers.

VimpelCom Fundamentals

Pair Trading with VimpelCom

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 VimpelCom 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 VimpelCom will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to ATT could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ATT 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 ATT - 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 ATT Inc to buy it.
The correlation of ATT 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 ATT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ATT Inc 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 ATT 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.
Pair CorrelationCorrelation Matching
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Consideration for investing in VimpelCom Stock

If you are still planning to invest in VimpelCom check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the VimpelCom's history and understand the potential risks before investing.
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
CEOs Directory
Screen CEOs from public companies around the world
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm