Ubs Etf Beneish M Score
This module uses fundamental data of UBS to approximate the value of its Beneish M Score. UBS M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Correlation Analysis 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 bureau of economic analysis.
UBS |
At this time, UBS's M Score is inapplicable. The earnings manipulation may begin if UBS's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by UBS executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of UBS's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
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When running UBS's price analysis, check to measure UBS'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 UBS is operating at the current time. Most of UBS's value examination focuses on studying past and present price action to predict the probability of UBS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UBS's price. Additionally, you may evaluate how the addition of UBS to your portfolios can decrease your overall portfolio volatility.
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