Poplar Forest Partners Fund Analysis

Poplar Mutual Fund Analysis Notes

The fund maintains 98.95% of assets in stocks. Poplar Forest Partners last dividend was 0.94 per share. Large To find out more about Poplar Forest Partners contact the company at 877-522-8860.

Poplar Forest Partners Investment Alerts

Poplar 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 Poplar Forest's market, we take the total number of its shares issued and multiply it by Poplar Forest'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 Poplar Forest Partners Mutual Fund Constituents

Technical Drivers

As of the 14th of May 2024, Poplar Forest holds the Risk Adjusted Performance of 0.0822, semi deviation of 0.5831, and Coefficient Of Variation of 753.03. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Poplar Forest, as well as the relationship between them. Put it differently, you can use this information to find out if the fund will indeed mirror its model of past market data, or the prices will eventually revert. We were able to analyze and collect data for nineteen technical drivers for Poplar Forest Partners, which can be compared to its competitors. Please check Poplar Forest Partners variance and potential upside to decide if Poplar Forest Partners is priced some-what accurately, providing market reflects its current price of 53.43 per share.

Poplar Forest Partners Price Movement Analysis

Poplar Forest Predictive Daily Indicators

Poplar Forest Forecast Models

Poplar Forest's time-series forecasting models are one of many Poplar Forest'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 Poplar Forest'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 Poplar Forest 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 Poplar 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 Poplar Forest. By using and applying Poplar Mutual Fund analysis, traders can create a robust methodology for identifying Poplar entry and exit points for their positions.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Poplar Forest Partners. 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 census. Note that the Poplar Forest Partners information on this page should be used as a complementary analysis to other Poplar Forest'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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.