Proshares Ultra Ftse Etf Piotroski F Score

XPP Etf  USD 17.54  0.79  4.31%   
This module uses fundamental data of ProShares Ultra to approximate its Piotroski F score. ProShares Ultra F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of ProShares Ultra FTSE. 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 ProShares Ultra financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out ProShares Ultra Altman Z Score, ProShares Ultra Correlation, Portfolio Optimization, as well as analyze ProShares Ultra Alpha and Beta and ProShares Ultra Hype Analysis.
  
At this time, it appears that ProShares Ultra'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..
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Piotroski F Score - Inapplicable
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ProShares Ultra Piotroski F Score Drivers

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

About ProShares Ultra 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 ProShares Ultra Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze ProShares Ultra FTSE's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ProShares Ultra using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ProShares Ultra FTSE 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.

Pair Trading with ProShares Ultra

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

Moving against ProShares Etf

  0.75NRGU Bank Of MontrealPairCorr
  0.33LABU Direxion Daily SPPairCorr
The ability to find closely correlated positions to ProShares Ultra could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ProShares Ultra 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 ProShares Ultra - 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 ProShares Ultra FTSE to buy it.
The correlation of ProShares Ultra 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 ProShares Ultra moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Ultra FTSE 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 ProShares Ultra 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
When determining whether ProShares Ultra FTSE is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if ProShares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Proshares Ultra Ftse Etf. Highlighted below are key reports to facilitate an investment decision about Proshares Ultra Ftse Etf:
Check out ProShares Ultra Altman Z Score, ProShares Ultra Correlation, Portfolio Optimization, as well as analyze ProShares Ultra Alpha and Beta and ProShares Ultra Hype Analysis.
You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of ProShares Ultra FTSE is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Ultra's value that differs from its market value or its book value, called intrinsic value, which is ProShares Ultra'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 ProShares Ultra's market value can be influenced by many factors that don't directly affect ProShares Ultra'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 ProShares Ultra's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Ultra is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Ultra'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.