Dfa Emerging Markets Fund Analysis
DAADX Fund | USD 11.31 0.04 0.35% |
Dfa Emerging Markets is undervalued with Real Value of 12.11 and Hype Value of 11.31. The main objective of Dfa Emerging fund analysis is to determine its intrinsic value, which is an estimate of what Dfa Emerging Markets is worth, separate from its market price. There are two main types of Dfa Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Dfa Emerging Markets. On the other hand, technical analysis, focuses on the price and volume data of Dfa Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Dfa Emerging mutual fund is traded in the USA on NMFQS Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA.
Dfa |
Dfa Mutual Fund Analysis Notes
The fund retains all of the assets under management (AUM) in different types of exotic instruments. Large BlendDfa Emerging Markets Investment Alerts
The fund retains all of the assets under management (AUM) in different types of exotic instruments |
Technical Drivers
As of the 21st of July, Dfa Emerging shows the Semi Deviation of 0.2572, mean deviation of 0.4965, and Downside Deviation of 0.7376. Dfa Emerging Markets technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.Dfa Emerging Markets Price Movement Analysis
The output start index for this execution was eleven with a total number of output elements of fifty. The Simple Moving Average indicator is calculated by adding the closing price of Dfa Emerging for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Dfa Emerging Markets short-term fluctuations and highlight longer-term trends or cycles.
Dfa Emerging Outstanding Bonds
Dfa Emerging issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Dfa Emerging Markets uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Dfa bonds can be classified according to their maturity, which is the date when Dfa Emerging Markets has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
MPLX LP 4125 Corp BondUS55336VAK61 | View | |
MPLX LP 52 Corp BondUS55336VAL45 | View | |
BNP Paribas FRN Corp BondUSF1R15XK367 | View | |
Morgan Stanley 3971 Corp BondUS61744YAL20 | View | |
Valero Energy Partners Corp BondUS91914JAA07 | View |
Dfa Emerging Predictive Daily Indicators
Dfa Emerging intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Dfa Emerging mutual fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 1.0 | |||
Day Median Price | 11.31 | |||
Day Typical Price | 11.31 | |||
Price Action Indicator | (0.02) | |||
Period Momentum Indicator | (0.04) | |||
Relative Strength Index | 79.35 |
Dfa Emerging Forecast Models
Dfa Emerging's time-series forecasting models are one of many Dfa Emerging's mutual fund analysis techniques aimed at predicting 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 Dfa Emerging'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.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 Dfa Emerging to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Stock Tickers Now
Stock TickersUse high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |
All Next | Launch Module |
Other Information on Investing in Dfa Mutual Fund
Dfa Emerging financial ratios help investors to determine whether Dfa Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Dfa with respect to the benefits of owning Dfa Emerging security.
Global Correlations Find global opportunities by holding instruments from different markets | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |