ARREX Mutual Fund Analysis


USD 25.91  0.23  0.90%   

REAL ESTATE FUND price slide over the last few months could raise concerns from investors as the fund is trading at a share price of 25.91 on slow start in volume. The fund administrators and managers were not very successful in positioning the fund resources to exploit market volatility in November. However, diversifying your holdings with REAL ESTATE or similar funds can still protect your portfolio during high-volatility market scenarios. The fund standard deviation of daily returns for 90 days investing horizon is currently 1.89. The below-average Fund volatility is a good sign for longer-term investment options and for buy-and-hold investors.
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The REAL ESTATE mutual fund analysis report makes it easy to digest most publicly released information about REAL ESTATE and get updates on important government artifacts, including earning estimates, SEC corporate filings, and announcements. ARREX Mutual Fund analysis module also helps to analyze the REAL ESTATE price relationship with some important fundamental indicators such as market cap and management efficiency.

ARREX Mutual Fund Analysis Notes

The fund holds 97.4% of assets under management (AUM) in equities. REAL ESTATE FUND last dividend was 0.17 per share. For more info on REAL ESTATE FUND please contact the company at 800-345-2021.

REAL ESTATE FUND Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more funds at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. REAL ESTATE's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding REAL ESTATE FUND or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
REAL ESTATE FUND generated a negative expected return over the last 90 days
The fund holds 97.4% of its assets under management (AUM) in equities

Management Efficiency

REAL ESTATE management efficiency ratios could be used to measure how well the company manages its routine affairs as well as how well it operates its assets and liabilities.

Top Mutual Fund Constituents

At Risk
STORSTORE Capital Corp 0.08 (0.64) 
REGRegency Centers 0.0286 (2.72) 
AVBAvalonBay Communities(0.18) (3.01) 
PSAPublic Storage(0.10) (2.88) 
ORealty Income Corp(0.08) (3.02) 
WYWeyerhaeuser(0.06) (3.11) 
WELLWelltower(0.11) (3.89) 
VTRVentas Inc(0.06) (3.38) 
UDRUDR Inc(0.13) (3.40) 
SUISun Communities(0.07) (3.83) 
SPGSimon Property Group 0.09 (3.68) 
SBACSBA Communications Corp(0.1) (3.51) 
REXRRexford Industrial Realty(0.11) (3.76) 
PLDPrologis(0.06) (3.93) 
PEAKHealthpeak Properties(0.0499) (3.00) 
PCHPotlatchDeltic Corp(0.0078) (3.21) 
AMTAmerican Tower Corp(0.14) (3.53) 
MAAMid-America Apartment Communities(0.0475) (2.96) 
INVHInvitation Homes(0.14) (3.01) 
EXRExtra Space Storage(0.17) (3.37) 

Technical Drivers

As of the 9th of December, REAL ESTATE owns the market risk adjusted performance of (0.11). REAL ESTATE FUND technical analysis gives you tools to exploit past data patterns in attempt to determine a pattern that determines the direction of the fund's future prices. Strictly speaking, you can use this information to find out if the fund will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We were able to analyze and collect data for nineteen technical drivers for REAL ESTATE, which can be compared to its peers in the sector. Please check REAL ESTATE FUND standard deviation, as well as the relationship between the value at risk and kurtosis to decide if REAL ESTATE FUND is priced some-what accurately, providing market reflects its prevailing price of 25.91 per share.

REAL ESTATE FUND Price Movement Analysis

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Simple Moving Average indicator is calculated by adding the closing price of REAL ESTATE for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out REAL ESTATE FUND short-term fluctuations and highlight longer-term trends or cycles.

REAL ESTATE Technical and Predictive Indicators

REAL ESTATE Forecast Models

REAL ESTATE time-series forecasting models is one of many REAL ESTATE's mutual fund analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary REAL ESTATE's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About ARREX Mutual Fund Analysis

Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how REAL ESTATE prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling ARREX shares will generate the highest return on investment. We also built our fund analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas, a specific sector, or an individual Fund such as REAL ESTATE. By using and applying ARREX Mutual Fund analysis, traders can create a robust methodology for identifying ARREX entry and exit points for their positions.
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.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our mutual fund analysis tools, you can find out how much better you can do when adding REAL ESTATE to your portfolios without increasing risk or reducing expected return.

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Please continue to Trending Equities. 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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

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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.