Virtus Lifesci Biotech Etf Piotroski F Score

BBC Etf  USD 28.96  0.62  2.19%   
This module uses fundamental data of Virtus LifeSci to approximate its Piotroski F score. Virtus LifeSci F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Virtus LifeSci Biotech. 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 Virtus LifeSci financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Virtus LifeSci Altman Z Score, Virtus LifeSci Correlation, Portfolio Optimization, as well as analyze Virtus LifeSci Alpha and Beta and Virtus LifeSci Hype Analysis.
  
At this time, it appears that Virtus LifeSci'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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Virtus LifeSci Piotroski F Score Drivers

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

About Virtus LifeSci 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 Virtus LifeSci Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Virtus LifeSci Biotech's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Virtus LifeSci using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Virtus LifeSci Biotech 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.
Under normal market conditions, the fund will invest not less than 80 percent of its assets in component securities of the index. Virtus Lifesci 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 Virtus LifeSci 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, Virtus LifeSci's short interest history, or implied volatility extrapolated from Virtus LifeSci options trading.

Pair Trading with Virtus LifeSci

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

Moving together with Virtus Etf

  0.9XLV Health Care SelectPairCorr
  0.91VHT Vanguard Health CarePairCorr
  0.92XBI SPDR SP BiotechPairCorr
  0.86IHI IShares US MedicalPairCorr

Moving against Virtus Etf

  0.86BITI ProShares Trust -PairCorr
  0.43GREI Goldman Sachs FuturePairCorr
The ability to find closely correlated positions to Virtus LifeSci could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Virtus LifeSci 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 Virtus LifeSci - 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 Virtus LifeSci Biotech to buy it.
The correlation of Virtus LifeSci 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 Virtus LifeSci moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Virtus LifeSci Biotech 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 Virtus LifeSci 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 Virtus LifeSci Biotech 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 Virtus 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 Virtus Lifesci Biotech Etf. Highlighted below are key reports to facilitate an investment decision about Virtus Lifesci Biotech Etf:
Check out Virtus LifeSci Altman Z Score, Virtus LifeSci Correlation, Portfolio Optimization, as well as analyze Virtus LifeSci Alpha and Beta and Virtus LifeSci Hype Analysis.
Note that the Virtus LifeSci Biotech information on this page should be used as a complementary analysis to other Virtus LifeSci'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 the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Complementary Tools for Virtus Etf analysis

When running Virtus LifeSci's price analysis, check to measure Virtus LifeSci'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 Virtus LifeSci is operating at the current time. Most of Virtus LifeSci's value examination focuses on studying past and present price action to predict the probability of Virtus LifeSci's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Virtus LifeSci's price. Additionally, you may evaluate how the addition of Virtus LifeSci to your portfolios can decrease your overall portfolio volatility.
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The market value of Virtus LifeSci Biotech is measured differently than its book value, which is the value of Virtus that is recorded on the company's balance sheet. Investors also form their own opinion of Virtus LifeSci's value that differs from its market value or its book value, called intrinsic value, which is Virtus LifeSci'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 Virtus LifeSci's market value can be influenced by many factors that don't directly affect Virtus LifeSci'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 Virtus LifeSci's value and its price as these two are different measures arrived at by different means. Investors typically determine if Virtus LifeSci is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Virtus LifeSci'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.