Big Tech Number Of Employees vs. Beta
| BIGT Stock | 152.60 7.40 4.63% |
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 Beta vs. Number Of Employees 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 number of employees category among its peers. It also is number one stock in beta category among its peers . 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 Number Of Employees vs. Competition
Big Tech 50 is number one stock in number of employees category among its peers. The total workforce of Asset Management industry is currently estimated at about 2,624. Big Tech adds roughly 1.0 in number of employees claiming only tiny portion of stocks in Asset Management industry.
Big Beta vs. Number Of Employees
Number of Employees shows the total number of permanent full time and part time employees working for a given company and processed through its payroll.
Big Tech |
| = | 1 |
Employee typically refers to an individual working under a contract of employment, whether oral or written, express or implied, and has recognized his or her rights and duties. Most officers of corporations are included as employees and contractors are generally excluded.
Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Big Tech |
| = | -0.0863 |
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
Big Beta Comparison
Big Tech is currently under evaluation in beta category among its peers.
Beta Analysis
As returns on the market increase, returns on owning Big Tech are expected to decrease at a much lower rate. During the bear market, Big Tech is likely to outperform the market.
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 Agency Mbs ETFs Thematic Idea Now
Agency Mbs ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Agency Mbs ETFs theme has 11 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 Agency Mbs ETFs 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.