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