ARREX Z Score

ARREX
 Fund
  

USD 26.25  0.05  0.19%   

Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Please continue to REAL ESTATE Piotroski F Score and Portfolio Optimization analysis.
  

ARREX Z Score Analysis

REAL ESTATE's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Z Score 
 = 
Sum Of  
 
5 Factors 
More About Z Score | All Equity Analysis
First Factor
 = 
1.2 * (
Working Capital
/
Total Assets )
Second Factor
 = 
1.4 * (
Retained Earnings
/
Total Assets )
Thrid Factor
 = 
3.3 * (
EBITAD
/
Total Assets )
Fouth Factor
 = 
0.6 * (
Market Value of Equity
/
Total Liabilities )
Fifth Factor
 = 
0.99 * (
Revenue
/
Total Assets )
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
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REAL ESTATE Z Score Component Assessment

In accordance with the company's disclosures, REAL ESTATE FUND has a Z Score of 0.0. This indicator is about the same for the Category average (which is currently at 0.0) family and about the same as Real Estate (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).

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Fund Asset Allocation for REAL ESTATE

The fund consists of 97.4% investments in stocks, with the rest of investments allocated between different money market instruments.
   Value   
       Instrument Type  

ARREX Fundamentals

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.
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 Piotroski F Score and Portfolio Optimization 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 CEO Directory module to screen CEOs from public companies around the world.

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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.