| ASHR Etf | | | USD 27.52 0.07 0.26% |
This module uses fundamental data of Xtrackers Harvest to approximate its Piotroski F score. Xtrackers Harvest F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Xtrackers Harvest CSI. 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 Xtrackers Harvest financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Xtrackers Harvest Altman Z Score,
Xtrackers Harvest Correlation,
Portfolio Optimization, as well as analyze
Xtrackers Harvest Alpha and Beta and
Xtrackers Harvest Hype Analysis.
At this time, it appears that Xtrackers Harvest's Piotroski F Score is Inapplicable. 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..
0.0
Piotroski F Score - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
Xtrackers Harvest Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Xtrackers Harvest is to make sure Xtrackers is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Xtrackers Harvest'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 Xtrackers Harvest's financial numbers are properly reported.
About Xtrackers Harvest 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.
About Xtrackers Harvest Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Xtrackers Harvest CSI's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Xtrackers Harvest using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Xtrackers Harvest CSI based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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 Xtrackers Harvest
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 Xtrackers Harvest 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 Xtrackers Harvest will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Xtrackers Harvest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xtrackers Harvest 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 Xtrackers Harvest - 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 Xtrackers Harvest CSI to buy it.
The correlation of Xtrackers Harvest 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 Xtrackers Harvest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xtrackers Harvest CSI 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 Xtrackers Harvest 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 determining whether Xtrackers Harvest CSI is a strong investment it is important to analyze Xtrackers Harvest's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Xtrackers Harvest's
future performance.
For an informed investment choice regarding Xtrackers Etf, refer to the following important reports: The market value of Xtrackers Harvest CSI is measured differently than its book value, which is the value of Xtrackers that is recorded on the company's balance sheet. Investors also form their own opinion of Xtrackers Harvest's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers Harvest's 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 Xtrackers Harvest's market value can be influenced by many factors that don't directly affect Xtrackers Harvest's 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 Xtrackers Harvest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers Harvest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers Harvest's 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.