Bunge Piotroski F Score

BG
 Stock
  

USD 83.90  1.69  2.06%   

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

Bunge Piotroski F Score Drivers

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

About Bunge 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 Bunge Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Bunge's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bunge using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bunge 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.
Bunge Limited operates as an agribusiness and food company worldwide. Bunge Limited was founded in 1818 and is headquartered in St. Bunge operates under Farm Products classification in the United States and is traded on New York Stock Exchange. It employs 22000 people.
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 Bunge 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, Bunge's short interest history, or implied volatility extrapolated from Bunge options trading.

Pair Trading with Bunge

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

Moving together with Bunge

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The ability to find closely correlated positions to Bunge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bunge 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 Bunge - 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 Bunge to buy it.
The correlation of Bunge 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 Bunge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bunge 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 Bunge 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 Bunge Altman Z Score, Bunge Correlation, Bunge Valuation, as well as analyze Bunge Alpha and Beta and Bunge Hype Analysis. Note that the Bunge information on this page should be used as a complementary analysis to other Bunge's 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

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When running Bunge price analysis, check to measure Bunge'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 Bunge is operating at the current time. Most of Bunge's value examination focuses on studying past and present price action to predict the probability of Bunge's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Bunge's price. Additionally, you may evaluate how the addition of Bunge to your portfolios can decrease your overall portfolio volatility.
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Is Bunge's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bunge. If investors know Bunge will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bunge listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Bunge is measured differently than its book value, which is the value of Bunge that is recorded on the company's balance sheet. Investors also form their own opinion of Bunge's value that differs from its market value or its book value, called intrinsic value, which is Bunge'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 Bunge's market value can be influenced by many factors that don't directly affect Bunge'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 Bunge's value and its price as these two are different measures arrived at by different means. Investors typically determine Bunge value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bunge'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.