This module uses fundamental data of Alarum Technologies to approximate its Piotroski F score. Alarum Technologies F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Alarum Technologies. 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 Alarum Technologies financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Alarum Technologies Altman Z Score, Alarum Technologies Correlation, Alarum Technologies Valuation, as well as analyze Alarum Technologies Alpha and Beta and Alarum Technologies Hype Analysis.
At this time, it appears that Alarum Technologies' 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..
The critical factor to consider when applying the Piotroski F Score to Alarum Technologies is to make sure Alarum is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Alarum Technologies' 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 Alarum Technologies' 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 Alarum Technologies' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Alarum Technologies 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
0.31
At this time, Alarum Technologies' Book Value Per Share is relatively stable compared to the past year.
Alarum Technologies Current Valuation Drivers
We derive many important indicators used in calculating different scores of Alarum Technologies from analyzing Alarum Technologies' financial statements. These drivers represent accounts that assess Alarum Technologies' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Alarum Technologies' important valuation drivers and their relationship over time.
The Macroaxis Fundamental Analysis modules help investors analyze Alarum Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alarum Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alarum Technologies 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 Alarum Technologies 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 Alarum Technologies will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Alarum Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alarum Technologies 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 Alarum Technologies - 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 Alarum Technologies to buy it.
The correlation of Alarum Technologies 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 Alarum Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alarum Technologies 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 Alarum Technologies 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 Alarum Technologies' price analysis, check to measure Alarum Technologies' 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 Alarum Technologies is operating at the current time. Most of Alarum Technologies' value examination focuses on studying past and present price action to predict the probability of Alarum Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alarum Technologies' price. Additionally, you may evaluate how the addition of Alarum Technologies to your portfolios can decrease your overall portfolio volatility.