Federated Mortgage Fund Price on February 28, 2020
| FGFIX Fund | USD 7.95 0.02 0.25% |
Below is the normalized historical share price chart for Federated Mortgage Fund extending back to October 21, 1997. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Federated Mortgage stands at 7.95, as last reported on the 19th of April, with the highest price reaching 7.95 and the lowest price hitting 7.95 during the day.
If you're considering investing in Federated Mutual Fund, it is important to understand the factors that can impact its price. Federated Mortgage secures Sharpe Ratio (or Efficiency) of -0.0884, which denotes the fund had a -0.0884% return per unit of risk over the last 3 months. Federated Mortgage Fund exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Federated Mortgage's Mean Deviation of 0.3143, variance of 0.166, and Standard Deviation of 0.4075 to check the risk estimate we provide.
Federated Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Federated |
Sharpe Ratio = -0.0884
| Best Portfolio | Best Equity | |||
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | FGFIX |
Estimated Market Risk
| 0.41 actual daily | 3 97% of assets are more volatile |
Expected Return
| -0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.09 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Federated Mortgage is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Federated Mortgage by adding Federated Mortgage to a well-diversified portfolio.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
About Federated Mortgage Mutual Fund history
Federated Mortgage investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Federated is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Federated Mortgage will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Federated Mortgage stock prices may prove useful in developing a viable investing in Federated Mortgage
The fund will invest in MBS that are issued or guaranteed by U.S. government agencies or U.S. government-sponsored enterprises . The fund may invest in non-agency MBS, which are those not issued or guaranteed by GSEs. The fund may invest up to 5 percent of its assets in noninvestment-grade securities, including those backed by so-called sub-prime mortgages and other types of non-investment grade securities.
Federated Mortgage Mutual Fund Technical Analysis
Federated Mortgage technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Price Boundaries
Federated Mortgage Period Price Range
Federated Mortgage April 19, 2024 Market Strength
Market strength indicators help investors to evaluate how Federated Mortgage mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Federated Mortgage shares will generate the highest return on investment. By undertsting and applying Federated Mortgage mutual fund market strength indicators, traders can identify Federated Mortgage Fund entry and exit signals to maximize returns
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 7.95 | |||
| Day Typical Price | 7.95 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.02) |
Federated Mortgage Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Federated Mortgage's price direction in advance. Along with the technical and fundamental analysis of Federated Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Federated to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.19) |
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| Volume Indicators |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Federated Mortgage 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 gross domestic product. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.