Zw Data Action Stock Annual Yield

CNET Stock  USD 0.83  0.03  3.49%   
ZW Data Action fundamentals help investors to digest information that contributes to ZW Data's financial success or failures. It also enables traders to predict the movement of CNET Stock. The fundamental analysis module provides a way to measure ZW Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to ZW Data stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

ZW Data Action Company Annual Yield Analysis

ZW Data's Yield generally refers to the amount of cash that is paid back to the owner of a security over a specific time (usually one year). It is expressed as a percentage of current market price, and usually amounts to all the interests and/or dividends paid over a given period. A higher yield allows the shareholders to generate returns on their investments sooner. However, investors should also be aware that a high yield may be a result of market turmoil or increased price volatility.

Yield

 = 

Income from Security

Current Share Price

More About Annual Yield | All Equity Analysis

CNET Annual Yield Driver Correlations

Understanding the fundamental principles of building solid financial models for ZW Data is extremely important. It helps to project a fair market value of CNET Stock properly, considering its historical fundamentals such as Annual Yield. Since ZW Data's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of ZW Data's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of ZW Data's interrelated accounts and indicators.
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Small firms, start-ups, or companies with high growth potential typically do not pay out dividends or distribute a lot of their profits. These companies will have small yield. Alternatively, more established companies, ETFs, and funds that invest in bonds will have higher yields.
Competition

CNET Dividend Yield

Dividend Yield

2.97E-4

At this time, ZW Data's Dividend Yield is comparatively stable compared to the past year.
In accordance with the recently published financial statements, ZW Data Action has an Annual Yield of 0.0%. This indicator is about the same for the Media average (which is currently at 0.0) sector and about the same as Communication Services (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).

CNET Annual Yield Peer Comparison

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

ZW Data Current Valuation Drivers

We derive many important indicators used in calculating different scores of ZW Data from analyzing ZW Data's financial statements. These drivers represent accounts that assess ZW Data's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of ZW Data's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap21.3M20.0M29.2M16.4M18.9M29.2M
Enterprise Value18.5M19.1M25.3M14.1M16.3M27.0M

CNET Fundamentals

About ZW Data Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze ZW Data Action's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ZW Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ZW Data Action based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Pair Trading with ZW Data

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 ZW Data 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 ZW Data will appreciate offsetting losses from the drop in the long position's value.

Moving against CNET Stock

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The ability to find closely correlated positions to ZW Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ZW Data 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 ZW Data - 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 ZW Data Action to buy it.
The correlation of ZW Data 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 ZW Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ZW Data Action 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 ZW Data 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

Additional Tools for CNET Stock Analysis

When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.