ARVN Stock | | | USD 18.05 0.47 2.67% |
This module uses fundamental data of Arvinas to approximate its Piotroski F score. Arvinas F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Arvinas. 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 Arvinas financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Arvinas Altman Z Score,
Arvinas Correlation,
Arvinas Valuation, as well as analyze
Arvinas Alpha and Beta and
Arvinas Hype Analysis.
To learn how to invest in Arvinas Stock, please use our
How to Invest in Arvinas guide.
At this time, Arvinas'
Long Term Debt is very stable compared to the past year. As of the 18th of January 2025,
Long Term Debt Total is likely to grow to about 1.3
M, while
Short and Long Term Debt Total is likely to drop about 3.4
M. At this time, Arvinas'
Price To Sales Ratio is very stable compared to the past year. As of the 18th of January 2025,
Average Payables is likely to grow to about 5.5
M, while
PTB Ratio is likely to drop 3.78.
At this time, it appears that Arvinas' Piotroski F Score is Poor. 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..
4.0
Piotroski F Score - Poor
| Current Return On Assets | Negative | Focus |
| Change in Return on Assets | Decreased | Focus |
| Cash Flow Return on Assets | Negative | Focus |
| Current Quality of Earnings (accrual) | Improving | Focus |
| Asset Turnover Growth | Increase | Focus |
| Current Ratio Change | Increase | Focus |
| Long Term Debt Over Assets Change | Higher Leverage | Focus |
| Change In Outstending Shares | Decrease | Focus |
| Change in Gross Margin | No Change | Focus |
Arvinas Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Arvinas is to make sure Arvinas is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Arvinas' 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 Arvinas' financial numbers are properly reported.
Arvinas F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Arvinas' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Arvinas in a much-optimized way.
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About Arvinas 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.
Arvinas ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Arvinas' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Arvinas' managers, analysts, and investors.
About Arvinas Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Arvinas's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Arvinas using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Arvinas 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.
Pair Trading with Arvinas
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 Arvinas 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 Arvinas will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Arvinas could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arvinas 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 Arvinas - 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 Arvinas to buy it.
The correlation of Arvinas 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 Arvinas moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arvinas 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 Arvinas 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 MatchingWhen determining whether Arvinas
offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Arvinas'
financial statements, including income statements, balance sheets, and cash flow statements, to assess its
financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Arvinas Stock.
Outlined below are crucial reports that will aid in making a well-informed decision on Arvinas Stock: Is Pharmaceuticals space 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 Arvinas. If investors know Arvinas 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 Arvinas listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share | Revenue Per Share | Quarterly Revenue Growth | Return On Assets | Return On Equity |
The market value of Arvinas is measured differently than its book value, which is the value of Arvinas that is recorded on the company's balance sheet. Investors also form their own opinion of Arvinas' value that differs from its market value or its book value, called intrinsic value, which is Arvinas' 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 Arvinas' market value can be influenced by many factors that don't directly affect Arvinas' 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 Arvinas' value and its price as these two are different measures arrived at by different means. Investors typically determine
if Arvinas is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arvinas' 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.