Deutsche E Equity Fund Analysis

Deutsche Mutual Fund Analysis Notes

The fund generated five year return of 13.0%. Deutsche E Equity maintains 99.49% of assets in stocks. This fund last dividend was 0.06 per share. Large Blend To find out more about Deutsche E Equity contact the company at 800-728-3337.

Deutsche E Equity Investment Alerts

Deutsche Market Capitalization

The company currently falls under '' category with a current market capitalization of 0. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Deutsche Core's market, we take the total number of its shares issued and multiply it by Deutsche Core's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Top Deutsche E Equity Mutual Fund Constituents

Technical Drivers

As of the 17th of April 2024, Deutsche Core shows the Coefficient Of Variation of 837.09, downside deviation of 0.7451, and Mean Deviation of 0.5793. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Deutsche Core, as well as the relationship between them. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to analyze nineteen technical drivers for Deutsche E Equity, which can be compared to its peers. Please confirm Deutsche E Equity jensen alpha and semi variance to decide if Deutsche E Equity is priced favorably, providing market reflects its regular price of 32.3 per share.

Deutsche E Equity Price Movement Analysis

Deutsche Core Predictive Daily Indicators

Deutsche Core Forecast Models

Deutsche Core's time-series forecasting models are one of many Deutsche Core'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 Deutsche Core'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.

Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Deutsche Core 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 Deutsche 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 Deutsche Core. By using and applying Deutsche Mutual Fund analysis, traders can create a robust methodology for identifying Deutsche entry and exit points for their positions.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Deutsche E Equity. 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 nation. Note that the Deutsche E Equity information on this page should be used as a complementary analysis to other Deutsche Core'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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.