Xtrackers Artificial Intelligence Etf Probability Of Bankruptcy
| XAIX Etf | USD 118.94 0.18 0.15% |
Xtrackers |
Xtrackers Artificial Intelligence ETF odds of financial turmoil Analysis
Xtrackers Artificial'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 Xtrackers Artificial Probability Of Bankruptcy | Less than 9% |
Most of Xtrackers Artificial'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, Xtrackers Artificial Intelligence is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Xtrackers Artificial 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 Xtrackers Artificial 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 Xtrackers Artificial Intelligence 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.
| Competition |
Based on the latest financial disclosure, Xtrackers Artificial Intelligence has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the DWS Investment S.A. (ETF) family and significantly higher than that of the Probability Of Bankruptcy category. The probability of bankruptcy for all Switzerland etfs is notably lower than that of the firm.
Xtrackers Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Xtrackers Artificial'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 Xtrackers Artificial could also be used in its relative valuation, which is a method of valuing Xtrackers Artificial by comparing valuation metrics of similar companies.Xtrackers Artificial is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
Xtrackers Fundamentals
| Total Asset | 70.37 M | |||
| One Year Return | 10.74 % | |||
| Net Asset | 70.37 M | |||
| Equity Positions Weight | 99.89 % |
About Xtrackers Artificial Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Xtrackers Artificial Intelligence's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Xtrackers Artificial using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Xtrackers Artificial Intelligence based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
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 Xtrackers Artificial 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, Xtrackers Artificial's short interest history, or implied volatility extrapolated from Xtrackers Artificial options trading.
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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 Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Xtrackers Artificial Intelligence. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.