GJP Stock | | | USD 25.00 0.10 0.40% |
This module uses fundamental data of STRATS SM to approximate its Piotroski F score. STRATS SM F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of STRATS SM Trust. These three categories are profitability, efficiency, and funding. Some research analysts 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 STRATS SM financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
STRATS SM Altman Z Score,
STRATS SM Correlation,
STRATS SM Valuation, as well as analyze
STRATS SM Alpha and Beta and
STRATS SM Hype Analysis.
At this time, it appears that STRATS SM's Piotroski F Score is Unavailable. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
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Piotroski F Score - Unavailable
| Current Return On Assets | N/A | Focus |
| Change in Return on Assets | N/A | Focus |
| Cash Flow Return on Assets | N/A | Focus |
| Current Quality of Earnings (accrual) | N/A | Focus |
| Asset Turnover Growth | N/A | Focus |
| Current Ratio Change | N/A | Focus |
| Long Term Debt Over Assets Change | N/A | Focus |
| Change In Outstending Shares | N/A | Focus |
| Change in Gross Margin | N/A | Focus |
STRATS SM Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to STRATS SM is to make sure STRATS is not a subject of accounting manipulations and runs a healthy internal audit department. So, if STRATS SM's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if STRATS SM's financial numbers are properly reported.
About STRATS SM 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.
About STRATS SM Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze STRATS SM Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of STRATS SM using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of STRATS SM Trust based on its fundamental data. In general, a quantitative approach, as applied to this company, 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.
Pair Trading with STRATS SM
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if STRATS SM position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in STRATS SM will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to STRATS SM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace STRATS SM when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back STRATS SM - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling STRATS SM Trust to buy it.
The correlation of STRATS SM is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as STRATS SM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if STRATS SM Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for STRATS SM can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation MatchingAdditional Tools for STRATS Stock Analysis
When running STRATS SM's price analysis, check to
measure STRATS SM'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 STRATS SM is operating at the current time. Most of STRATS SM's value examination focuses on studying past and present price action to
predict the probability of STRATS SM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move STRATS SM's price. Additionally, you may evaluate how the addition of STRATS SM to your portfolios can decrease your overall portfolio volatility.