ARREX Piotroski F Score

ARREX
 Fund
  

USD 25.65  0.16  0.62%   

This module uses fundamental data of REAL ESTATE to approximate its Piotroski F score. REAL ESTATE F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of REAL ESTATE FUND. 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 REAL ESTATE financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please continue to REAL ESTATE Altman Z Score, REAL ESTATE Correlation, Portfolio Optimization, as well as analyze REAL ESTATE Alpha and Beta and REAL ESTATE Hype Analysis.
  
At this time, it appears that REAL ESTATE'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
1
Current Return On AssetsN/AFocus
2
Change in Return on AssetsN/AFocus
3
Cash Flow Return on AssetsN/AFocus
4
Current Quality of Earnings (accrual)N/AFocus
5
Asset Turnover GrowthN/AFocus
6
Current Ratio ChangeN/AFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesN/AFocus
9
Change in Gross MarginN/AFocus

REAL ESTATE Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to REAL ESTATE is to make sure ARREX is not a subject of accounting manipulations and runs a healthy internal audit department. So, if REAL ESTATE'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 REAL ESTATE's financial numbers are properly reported.

About REAL ESTATE 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 REAL ESTATE Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze REAL ESTATE FUND's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of REAL ESTATE using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of REAL ESTATE FUND based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.
Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities issued by real estate investment trusts and other companies engaged in the real estate industry. American Century is traded on NASDAQ Exchange in the United States.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards REAL ESTATE in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, REAL ESTATE's short interest history, or implied volatility extrapolated from REAL ESTATE options trading.

Pair Trading with REAL ESTATE

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 REAL ESTATE 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 REAL ESTATE will appreciate offsetting losses from the drop in the long position's value.

Moving together with REAL ESTATE

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The ability to find closely correlated positions to REAL ESTATE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace REAL ESTATE 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 REAL ESTATE - 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 REAL ESTATE FUND to buy it.
The correlation of REAL ESTATE is a statistical measure of how it moves in relation to other equities. 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 REAL ESTATE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if REAL ESTATE FUND 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 REAL ESTATE 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 Matching
Please continue to REAL ESTATE Altman Z Score, REAL ESTATE Correlation, Portfolio Optimization, as well as analyze REAL ESTATE Alpha and Beta and REAL ESTATE Hype Analysis. Note that the REAL ESTATE FUND information on this page should be used as a complementary analysis to other REAL ESTATE's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Complementary Tools for ARREX Mutual Fund analysis

When running REAL ESTATE FUND price analysis, check to measure REAL ESTATE'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 REAL ESTATE is operating at the current time. Most of REAL ESTATE's value examination focuses on studying past and present price action to predict the probability of REAL ESTATE's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move REAL ESTATE's price. Additionally, you may evaluate how the addition of REAL ESTATE to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between REAL ESTATE's value and its price as these two are different measures arrived at by different means. Investors typically determine REAL ESTATE value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, REAL ESTATE'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.