Oqal Etf Probability Of Bankruptcy
OQAL's risk of distress is under 9% at the moment. It has tiny likelihood of undergoing some form of financial straits in the near future. OQAL's Odds of financial distress is determined by interpolating and adjusting OQAL Altman Z Score to account for off-balance-sheet items and missing or unfiled public information. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in nation.
OQAL |
OQAL ETF odds of financial distress Analysis
OQAL'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 OQAL Probability Of Bankruptcy | Less than 9% |
Most of OQAL'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, OQAL is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of OQAL 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 OQAL 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 OQAL financial health.
The market value of OQAL is measured differently than its book value, which is the value of OQAL that is recorded on the company's balance sheet. Investors also form their own opinion of OQAL's value that differs from its market value or its book value, called intrinsic value, which is OQAL's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because OQAL's market value can be influenced by many factors that don't directly affect OQAL's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between OQAL's value and its price as these two are different measures arrived at by different means. Investors typically determine if OQAL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, OQAL's 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.
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, OQAL has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the Invesco family and significantly higher than that of the Large Growth category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
OQAL Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses OQAL's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of OQAL could also be used in its relative valuation, which is a method of valuing OQAL by comparing valuation metrics of similar companies.OQAL is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
OQAL Fundamentals
| Number Of Employees | 591 | |||
| Total Asset | 6.44 M | |||
| One Year Return | 22.72 % | |||
| Net Asset | 6.44 M | |||
| Last Dividend Paid | 5.48 | |||
| Equity Positions Weight | 99.85 % |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards OQAL in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, OQAL's short interest history, or implied volatility extrapolated from OQAL options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the OQAL information on this page should be used as a complementary analysis to other OQAL's 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Other Tools for OQAL Etf
When running OQAL's price analysis, check to measure OQAL's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy OQAL is operating at the current time. Most of OQAL's value examination focuses on studying past and present price action to predict the probability of OQAL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OQAL's price. Additionally, you may evaluate how the addition of OQAL to your portfolios can decrease your overall portfolio volatility.
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |