SPDR SP Piotroski F Score

SDY -- USA Etf  

USD 93.01  0.36  0.39%

This module uses fundamental data of SPDR SP to approximate its Piotroski F score. SPDR SP F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of SPDR SP Dividend 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 SPDR SP financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Also please take a look at SPDR SP Altman Z Score, SPDR SP Correlation, Portfolio Optimization as well as analyze SPDR SP Alpha and Beta and SPDR SP Hype Analysis.
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Analyze Piotroski F Score
0
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 - SDY

SPDR SP Dividend Investor Sentiment
Predominant part of Macroaxis users are at this time bullish on SPDR SP Dividend ETF. What is your outlook on investing in SPDR SP Dividend ETF? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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About SPDR SP F Score

What is SPDR 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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