iPath SP Piotroski F Score

iPath SP GSCI Crude Oil TR ETN -- USA Etf  

USD 6.14  0.04  0.66%

This module uses fundamental data of iPath SP to approximate its Piotroski F score. IPath SP F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of iPath SP GSCI Crude Oil TR ETN. 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 iPath SP financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Additionally take a look at iPath SP Altman Z Score, iPath SP Correlation, Portfolio Optimization as well as analyze iPath SP Alpha and Beta and iPath SP 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 - OIL

iPath SP GSCI Investor Sentiment
Greater number of Macroaxis users are now bullish on iPath SP GSCI Crude Oil TR ETN. What is your take regarding investing in iPath SP GSCI Crude Oil TR ETN? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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About iPath SP F Score

What is iPath SP 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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