Power Assets Holdings Stock Piotroski F Score
| HGKGF Stock | USD 5.55 0.11 2.02% |
Power |
At this time, it appears that Power Assets' Piotroski F Score is Inapplicable. 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..
0.0
Piotroski F Score - Inapplicable
| Current Return On Assets | N/A |
| Change in Return on Assets | N/A |
| Cash Flow Return on Assets | N/A |
| Current Quality of Earnings (accrual) | N/A |
| Asset Turnover Growth | N/A |
| Current Ratio Change | N/A |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | N/A |
| Change in Gross Margin | N/A |
Power Assets Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Power Assets is to make sure Power is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Power Assets' 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 Power Assets' financial numbers are properly reported.
About Power Assets 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 Power Assets Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Power Assets Holdings's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Power Assets using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Power Assets Holdings 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Power Assets in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Power Assets' short interest history, or implied volatility extrapolated from Power Assets options trading.
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Try AI Portfolio ArchitectCheck out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Power Assets Holdings. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. Note that the Power Assets Holdings information on this page should be used as a complementary analysis to other Power Assets' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Power Pink Sheet analysis
When running Power Assets' price analysis, check to measure Power Assets' 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 Power Assets is operating at the current time. Most of Power Assets' value examination focuses on studying past and present price action to predict the probability of Power Assets' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Assets' price. Additionally, you may evaluate how the addition of Power Assets to your portfolios can decrease your overall portfolio volatility.
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