This module uses fundamental data of MSP Recovery to approximate its Piotroski F score. MSP Recovery F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of MSP Recovery. 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 MSP Recovery financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out MSP Recovery Altman Z Score, MSP Recovery Correlation, MSP Recovery Valuation, as well as analyze MSP Recovery Alpha and Beta and MSP Recovery Hype Analysis.
At this time, MSP Recovery's Short and Long Term Debt Total is relatively stable compared to the past year. As of 01/04/2025, Net Debt is likely to grow to about 806.2 M, while Net Debt To EBITDA is likely to drop (11.65). At this time, MSP Recovery's Income Quality is relatively stable compared to the past year. As of 01/04/2025, Graham Number is likely to grow to 1,557, though Free Cash Flow Yield is likely to grow to (2.29).
At this time, it appears that MSP Recovery'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..
The critical factor to consider when applying the Piotroski F Score to MSP Recovery is to make sure MSP is not a subject of accounting manipulations and runs a healthy internal audit department. So, if MSP Recovery'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 MSP Recovery's financial numbers are properly reported.
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 MSP Recovery's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards MSP Recovery in a much-optimized way.
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.
Book Value Per Share
3,760.84
At this time, MSP Recovery's Book Value Per Share is relatively stable compared to the past year.
MSP Recovery 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, MSP Recovery's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to MSP Recovery's managers, analysts, and investors.
Environmental
Governance
Social
About MSP Recovery Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze MSP Recovery's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of MSP Recovery using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of MSP Recovery 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.
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 MSP Recovery 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 MSP Recovery will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to MSP Recovery could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MSP Recovery 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 MSP Recovery - 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 MSP Recovery to buy it.
The correlation of MSP Recovery 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 MSP Recovery moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MSP Recovery 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 MSP Recovery 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.
When running MSP Recovery's price analysis, check to measure MSP Recovery'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 MSP Recovery is operating at the current time. Most of MSP Recovery's value examination focuses on studying past and present price action to predict the probability of MSP Recovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MSP Recovery's price. Additionally, you may evaluate how the addition of MSP Recovery to your portfolios can decrease your overall portfolio volatility.