Ssga Etf Probability Of Bankruptcy
SSgA's risk of distress is under 9% at the present time. It has tiny likelihood of undergoing some form of financial crisis in the near future. SSgA's Probability of distress is determined by interpolating and adjusting SSgA Altman Z Score to account for off-balance-sheet items and missing or unfiled public information. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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SSgA ETF probability of distress Analysis
SSgA'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 SSgA Probability Of Bankruptcy | Less than 9% |
Most of SSgA'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, SSgA is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of SSgA 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 SSgA 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 SSgA financial health.
The market value of SSgA is measured differently than its book value, which is the value of SSgA that is recorded on the company's balance sheet. Investors also form their own opinion of SSgA's value that differs from its market value or its book value, called intrinsic value, which is SSgA'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 SSgA's market value can be influenced by many factors that don't directly affect SSgA'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 SSgA's value and its price as these two are different measures arrived at by different means. Investors typically determine if SSgA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SSgA'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, SSgA has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the SPDR State Street Global Advisors family and significantly higher than that of the Corporate Bond category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
SSgA Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses SSgA'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 SSgA could also be used in its relative valuation, which is a method of valuing SSgA by comparing valuation metrics of similar companies.SSgA is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
SSgA Fundamentals
| Number Of Employees | 177 | |||
| Total Asset | 83.41 M | |||
| One Year Return | 14.09 % | |||
| Three Year Return | 4.54 % | |||
| Five Year Return | 4.18 % | |||
| Net Asset | 83.41 M | |||
| Last Dividend Paid | 0.097 | |||
| Bond Positions Weight | 97.50 % |
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Other Tools for SSgA Etf
When running SSgA's price analysis, check to measure SSgA'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 SSgA is operating at the current time. Most of SSgA's value examination focuses on studying past and present price action to predict the probability of SSgA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSgA's price. Additionally, you may evaluate how the addition of SSgA to your portfolios can decrease your overall portfolio volatility.
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