iShares Short Piotroski F Score

NEAR -- USA Etf  

USD 49.89  0.02  0.0401%

This module uses fundamental data of iShares Short to approximate its Piotroski F score. IShares Short F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of iShares Short Maturity Bond ETF. These three categories are profitability, efficiency, and funding. Some research analysists and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about iShares Short financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please see also iShares Short Altman Z Score, iShares Short Correlation, Portfolio Optimization as well as analyze iShares Short Alpha and Beta and iShares Short Hype Analysis.
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Analyze Piotroski F Score
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Piotroski F Score -- Inapplicable
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Current Return On Assets
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Change in Return on Assets
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Cash Flow Return on Assets
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Current Quality of Earnings (accrual)
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Asset Turnover Growth
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Current Ratio Change
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Long Term Debt Over Assets Change
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Change In Outstending Shares
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Change in Gross Margin
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Current Sentiment - NEAR

iShares Short Maturity Investor Sentiment

Most of Macroaxis users are now bullish on iShares Short Maturity Bond ETF. What is your take regarding investing in iShares Short Maturity Bond ETF? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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About iShares Short F Score

What is iShares Short Piotroski F-Score?

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.


 
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