Meta Platforms Cash and Equivalents vs. Z Score

FBDelisted Stock  USD 169.49  1.83  1.07%   
Based on Meta Platforms' profitability indicators, Meta Platforms may not be well positioned to generate adequate gross income at the moment. It has a very high risk of underperforming in April. Profitability indicators assess Meta Platforms' ability to earn profits and add value for shareholders.
For Meta Platforms profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Meta Platforms to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Meta Platforms utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Meta Platforms's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Meta Platforms over time as well as its relative position and ranking within its peers.
  
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Please note, there is a significant difference between Meta Platforms' value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Platforms is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Platforms' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Meta Platforms Z Score vs. Cash and Equivalents Fundamental Analysis

Meta Z Score vs. Cash and Equivalents

Meta Platforms

 = 
null
Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..

Meta Platforms

Z Score

 = 

Sum Of

5 Factors

 = 
24.7
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.

Meta Z Score Comparison

Meta Platforms is currently under evaluation in z score category among related companies.

Use Meta Platforms 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 Platforms 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 Platforms will appreciate offsetting losses from the drop in the long position's value.

Meta Platforms Pair Trading

Meta Platforms Pair Trading Analysis

The ability to find closely correlated positions to Meta Platforms 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 Platforms 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 Platforms - 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 Platforms to buy it.
The correlation of Meta Platforms 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 Platforms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Platforms 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 Platforms 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

Use Investing Themes to Complement your Meta Platforms position

In addition to having Meta Platforms 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 Preferred Stock ETFs Thematic Idea Now

Preferred Stock ETFs
Preferred Stock ETFs Theme
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Preferred Stock ETFs theme has 15 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 Preferred Stock ETFs Theme or any other thematic opportunities.
View All  Next Launch
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Note that the Meta Platforms information on this page should be used as a complementary analysis to other Meta Platforms' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Consideration for investing in Meta Stock

If you are still planning to invest in Meta Platforms 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 Platforms' history and understand the potential risks before investing.
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
CEOs Directory
Screen CEOs from public companies around the world
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated