Big Tech Earnings Per Share vs. Market Capitalization
| BIGT Stock | 147.20 4.50 3.15% |
For Big Tech profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Big Tech to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Big Tech 50 utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Big Tech's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Big Tech 50 over time as well as its relative position and ranking within its peers.
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Big Tech 50 Market Capitalization vs. Earnings Per Share Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Big Tech's current stock value. Our valuation model uses many indicators to compare Big Tech value to that of its competitors to determine the firm's financial worth. Big Tech 50 is number one stock in earnings per share category among its peers. It also is number one stock in market capitalization category among its peers creating about 292,619,281 of Market Capitalization per Earnings Per Share. Comparative valuation analysis is a catch-all model that can be used if you cannot value Big Tech by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Big Tech's Stock. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.Big Market Capitalization vs. Earnings Per Share
Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.
Big Tech |
| = | 0.09 X |
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
Market Capitalization is the total market value of a company's equity. It is one of many ways to value a company and is calculated by multiplying the price of the stock by the number of shares issued. If a firm has one type of stock its market capitalization will be the current market share price multiplied by the number of shares. However, if a company has multiple types of equities then the market cap will be the total of the market caps of the different types of shares.
Big Tech |
| = | 26.04 M |
In most publications or references market cap is broken down into the mega-cap, large-cap, mid-cap, small-cap, micro-cap, and nano-cap. Market Cap is a measurement of business as total market value of all of the outstanding shares at a given time, and can be used to compare different companies based on their size.
Big Market Capitalization vs Competition
Big Tech 50 is number one stock in market capitalization category among its peers. Market capitalization of Asset Management industry is currently estimated at about 4.39 Billion. Big Tech maintains roughly 26.04 Million in market capitalization contributing less than 1% to stocks in Asset Management industry.
Big Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Big Tech. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Big Tech position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Big Tech's important profitability drivers and their relationship over time.
Use Big Tech in pair-trading
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 Big Tech 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 Big Tech will appreciate offsetting losses from the drop in the long position's value.Big Tech Pair Trading
Big Tech 50 Pair Trading Analysis
The ability to find closely correlated positions to Big Tech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Big Tech 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 Big Tech - 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 Big Tech 50 to buy it.
The correlation of Big Tech 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 Big Tech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Big Tech 50 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 Big Tech 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.Use Investing Themes to Complement your Big Tech position
In addition to having Big Tech in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Apparel Thematic Idea Now
Apparel
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Apparel theme has 50 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Apparel Theme or any other thematic opportunities.
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Other Information on Investing in Big Stock
To fully project Big Tech's future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of Big Tech 50 at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include Big Tech's income statement, its balance sheet, and the statement of cash flows.