Meta Data Price To Book vs. Current Ratio
Based on the key profitability measurements obtained from Meta Data's financial statements, Meta Data may not be well positioned to generate adequate gross income at the moment. It has a very high risk of underperforming in January. Profitability indicators assess Meta Data's ability to earn profits and add value for shareholders.
Check out Trending Equities 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.
For Meta Data profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Meta Data to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Meta Data utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Meta Data's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Meta Data over time as well as its relative position and ranking within its peers.
Meta |
Meta Data Current Ratio vs. Price To Book Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Meta Data's current stock value. Our valuation model uses many indicators to compare Meta Data value to that of its competitors to determine the firm's financial worth. Meta Data is rated fifth in price to book category among its peers. It is rated below average in current ratio category among its peers fabricating about 0.02 of Current Ratio per Price To Book. The ratio of Price To Book to Current Ratio for Meta Data is roughly 65.30 . Comparative valuation analysis is a catch-all technique that is used if you cannot value Meta Data by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.Meta Current Ratio vs. Price To Book
Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
Meta Data |
| = | 3.92 X |
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
Current Ratio is calculated by dividing the Current Assets of a company by its Current Liabilities. It measures whether or not a company has enough cash or liquid assets to pay its current liability over the next fiscal year. The ratio is regarded as a test of liquidity for a company.
Meta Data |
| = | 0.06 X |
Typically, short-term creditors will prefer a high current ratio because it reduces their overall risk. However, investors may prefer a lower current ratio since they are more concerned about growing the business using assets of the company. Acceptable current ratios may vary from one sector to another, but the generally accepted benchmark is to have current assets at least as twice as current liabilities (i.e., Current Ration of 2 to 1).
Meta Current Ratio Comparison
Meta Data is currently under evaluation in current ratio category among its peers.
Meta Data Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Meta Data, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Meta Data will eventually generate negative long term returns. The profitability progress is the general direction of Meta Data's change in net profit over the period of time. It can combine multiple indicators of Meta Data, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
Meta Data Limited provides tutoring services for the students of kindergarten and primary, middle, and high schools in the Peoples Republic of China. Meta Data Limited was founded in 2007 and is headquartered in Shanghai, the Peoples Republic of China. Meta Data operates under Education Training Services classification in the United States and is traded on New York Stock Exchange. It employs 13497 people.
Meta Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Meta Data. 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 Meta Data 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 Meta Data's important profitability drivers and their relationship over time.
Use Meta Data 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 Meta 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 Meta Data will appreciate offsetting losses from the drop in the long position's value.Meta Data Pair Trading
Meta Data Pair Trading Analysis
The ability to find closely correlated positions to Meta 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 Meta 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 Meta 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 Meta Data to buy it.
The correlation of Meta 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 Meta Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Data 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 Meta 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.Use Investing Themes to Complement your Meta Data position
In addition to having Meta Data 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 Driverless Cars Thematic Idea Now
Driverless Cars
It encompasses large technology companies, automotive makers, security firms, and thematic ETFs across multiple industries. These entities are directly or indirectly involved in shaping the development and marketing of self-driving vehicles. The Driverless Cars theme has 36 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 Driverless Cars Theme or any other thematic opportunities.
| View All Next | Launch |
Check out Trending Equities 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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Consideration for investing in Meta Stock
If you are still planning to invest in Meta Data 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 Meta Data's history and understand the potential risks before investing.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum |