Long Term Piotroski F Score

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This module uses fundamental data of Long Term to approximate its Piotroski F score. Long Term F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Long Term Bond. 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 Long Term financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Continue to Long Term Altman Z Score, Long Term Correlation, Portfolio Optimization, as well as analyze Long Term Alpha and Beta and Long Term Hype Analysis.
  
At this time, it appears that Long Term's 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
1
Current Return On AssetsN/AFocus
2
Change in Return on AssetsN/AFocus
3
Cash Flow Return on AssetsN/AFocus
4
Current Quality of Earnings (accrual)N/AFocus
5
Asset Turnover GrowthN/AFocus
6
Current Ratio ChangeN/AFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesN/AFocus
9
Change in Gross MarginN/AFocus

Long Term Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Long Term is to make sure Long Term is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Long Term'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 Long Term's financial numbers are properly reported.

About Long Term 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 Long Term Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Long Term Bond's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Long Term using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Long Term Bond based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
This index includes all medium and larger issues of U.S. government, investment-grade corporate, and investment-grade international dollar-denominated bonds that have maturities of greater than 10 years and are publicly issued. Long Term is traded on NYSEArca Exchange in the United States.
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 Long Term 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, Long Term's short interest history, or implied volatility extrapolated from Long Term options trading.

Pair Trading with Long Term

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 Long Term 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 Long Term will appreciate offsetting losses from the drop in the long position's value.

Moving together with Long Term

+0.92HPQHp Inc Fiscal Year End 22nd of November 2022 PairCorr
The ability to find closely correlated positions to Long Term could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Long Term 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 Long Term - 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 Long Term Bond to buy it.
The correlation of Long Term is a statistical measure of how it moves in relation to other equities. 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 Long Term moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Long Term Bond 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 Long Term 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 Matching
Continue to Long Term Altman Z Score, Long Term Correlation, Portfolio Optimization, as well as analyze Long Term Alpha and Beta and Long Term Hype Analysis. You can also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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When running Long Term Bond price analysis, check to measure Long Term'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 Long Term is operating at the current time. Most of Long Term's value examination focuses on studying past and present price action to predict the probability of Long Term's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Long Term's price. Additionally, you may evaluate how the addition of Long Term to your portfolios can decrease your overall portfolio volatility.
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The market value of Long Term Bond is measured differently than its book value, which is the value of Long Term that is recorded on the company's balance sheet. Investors also form their own opinion of Long Term's value that differs from its market value or its book value, called intrinsic value, which is Long Term's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Long Term's market value can be influenced by many factors that don't directly affect Long Term's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Long Term's value and its price as these two are different measures arrived at by different means. Investors typically determine Long Term value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Long Term's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.