Molecular Data Stock Probability Of Bankruptcy
MKDTYDelisted Stock | USD 0.01 0.01 2,567% |
Molecular |
Molecular Data Company probability of bankruptcy Analysis
Molecular Data's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Molecular Data Probability Of Bankruptcy | Over 100% |
Most of Molecular Data's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Molecular Data is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Molecular Data probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Molecular Data odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Molecular Data financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
CompetitionBased on the latest financial disclosure, Molecular Data has a Probability Of Bankruptcy of 100%. This is 125.53% higher than that of the Basic Materials sector and 133.26% higher than that of the Chemicals industry. The probability of bankruptcy for all United States stocks is 151.07% lower than that of the firm.
Molecular Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Molecular Data's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Molecular Data could also be used in its relative valuation, which is a method of valuing Molecular Data by comparing valuation metrics of similar companies.Molecular Data is currently under evaluation in probability of bankruptcy category among its peers.
About Molecular Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Molecular Data's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Molecular Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Molecular Data 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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Correlation Analysis 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 estimate. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Other Consideration for investing in Molecular Pink Sheet
If you are still planning to invest in Molecular 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 Molecular Data's history and understand the potential risks before investing.
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Commodity Directory Find actively traded commodities issued by global exchanges |