BETR Stock | | | 15.77 1.46 10.20% |
This module uses fundamental data of Better Home to approximate its Piotroski F score. Better Home F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Better Home Finance. 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 Better Home financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Better Home Altman Z Score,
Better Home Correlation,
Better Home Valuation, as well as analyze
Better Home Alpha and Beta and
Better Home Hype Analysis.
At this time, Better Home's
Short and Long Term Debt Total is relatively stable compared to the past year. As of 11/30/2024,
Debt To Equity is likely to grow to 5.49, while
Short Term Debt is likely to drop slightly above 119.9
M. At this time, Better Home's
Capex To Revenue is relatively stable compared to the past year. As of 11/30/2024,
Cash Per Share is likely to grow to 1.20, though
Operating Cash Flow Per Share is likely to grow to
(0.33).
At this time, it appears that Better Home's Piotroski F Score is Healthy. 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..
5.0
Piotroski F Score - Healthy
| 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 | Decrease | Focus |
| Current Ratio Change | Increase | Focus |
| Long Term Debt Over Assets Change | Lower Leverage | Focus |
| Change In Outstending Shares | Decrease | Focus |
| Change in Gross Margin | Increase | Focus |
Better Home Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Better Home is to make sure Better is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Better Home'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 Better Home's financial numbers are properly reported.
Better Home Finance 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 Better Home's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Better Home in a much-optimized way.
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About Better Home 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.
Better Home 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, Better Home's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Better Home's managers, analysts, and investors.
About Better Home Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Better Home Finance's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Better Home using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Better Home Finance 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 Better Home
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 Better Home 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 Better Home will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Better Home could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Better Home 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 Better Home - 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 Better Home Finance to buy it.
The correlation of Better Home 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 Better Home moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Better Home Finance 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 Better Home 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 MatchingAdditional Tools for Better Stock Analysis
When running Better Home's price analysis, check to
measure Better Home'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 Better Home is operating at the current time. Most of Better Home's value examination focuses on studying past and present price action to
predict the probability of Better Home's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Better Home's price. Additionally, you may evaluate how the addition of Better Home to your portfolios can decrease your overall portfolio volatility.