Real Estate Fund Last Dividend Paid
| ARYCX Fund | USD 22.02 0.03 0.14% |
Real Estate Fund fundamentals help investors to digest information that contributes to Real Estate's financial success or failures. It also enables traders to predict the movement of Real Mutual Fund. The fundamental analysis module provides a way to measure Real Estate's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Real Estate mutual fund.
Real |
Real Estate Fund Mutual Fund Last Dividend Paid Analysis
Real Estate's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.
More About Last Dividend Paid | All Equity Analysis
Last Dividend | = | Last Profit Distribution AmountTotal Shares |
Current Real Estate Last Dividend Paid | 0.07 |
Most of Real Estate's fundamental indicators, such as Last Dividend Paid, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Real Estate Fund is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
| Competition |
Real Estate Last Dividend Paid Component Assessment
Based on the recorded statements, Real Estate Fund has a Last Dividend Paid of 0.07. This indicator is about the same for the Category average (which is currently at 0.07) family and 16.67% higher than that of the Real Estate category. The last dividend paid for all United States funds is 89.23% higher than that of the company.
Real Last Dividend Paid Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Real Estate's direct or indirect competition against its Last Dividend Paid to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Real Estate could also be used in its relative valuation, which is a method of valuing Real Estate by comparing valuation metrics of similar companies.Real Estate is currently under evaluation in last dividend paid among similar funds.
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.Asset allocation divides Real Estate's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Real Fundamentals
| Price To Earning | 44.83 X | |||
| Price To Book | 2.63 X | |||
| Price To Sales | 8.01 X | |||
| Total Asset | 1.35 M | |||
| Annual Yield | 0.01 % | |||
| Year To Date Return | 9.90 % | |||
| One Year Return | (0.35) % | |||
| Three Year Return | (2.82) % | |||
| Five Year Return | 1.68 % | |||
| Ten Year Return | 7.65 % | |||
| Net Asset | 688.21 M | |||
| Last Dividend Paid | 0.07 | |||
| Cash Position Weight | 2.60 % | |||
| Equity Positions Weight | 97.40 % |
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.
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 Mutual Fund
| 0.82 | DX | Dynex Capital | PairCorr |
| 0.7 | FR | First Industrial Realty | PairCorr |
Moving against Real Mutual Fund
| 0.42 | VINO | Gaucho Group Holdings | PairCorr |
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 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 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Real Estate Fund. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. 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 the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.