Federated Gov Sec Fund Ten Year Return

FSGIX Fund  USD 9.59  0.01  0.10%   
Federated Gov Sec fundamentals help investors to digest information that contributes to Federated Gov's financial success or failures. It also enables traders to predict the movement of Federated Mutual Fund. The fundamental analysis module provides a way to measure Federated Gov'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 Federated Gov mutual fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Federated Gov Sec Mutual Fund Ten Year Return Analysis

Federated Gov's Ten Year Return shows the total annualized return generated from holding a fund for the last 10 years and represents fund's capital appreciation, including dividends losses and capital gains distributions. This return indicator is considered by many investors to be the ultimate measures of fund performance and can reflect the overall performance of the market or market segment it invests in.

Ten Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Ten Year Return | All Equity Analysis

Current Federated Gov Ten Year Return

    
  0.55 %  
Most of Federated Gov's fundamental indicators, such as Ten Year Return, 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, Federated Gov Sec is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although Ten Year Fund Return indicator can give a sense of overall fund long-term potential, it is recommended to compare funds performances against other similar funds or market benchmarks for the same 10-year interval.
Competition

Based on the latest financial disclosure, Federated Gov Sec has a Ten Year Return of 0.55%. This is 90.55% lower than that of the Federated family and significantly higher than that of the Short Government category. The ten year return for all United States funds is notably lower than that of the firm.

Federated Ten Year Return Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Federated Gov's direct or indirect competition against its Ten Year Return to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Federated Gov could also be used in its relative valuation, which is a method of valuing Federated Gov by comparing valuation metrics of similar companies.
Federated Gov is currently under evaluation in ten year return among similar funds.

Fund Asset Allocation for Federated Gov

The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in cash and cash equivalents.
Asset allocation divides Federated Gov'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.

Federated Fundamentals

About Federated Gov Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Federated Gov Sec's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Federated Gov using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Federated Gov Sec 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.

Also Currently Popular

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.

Other Information on Investing in Federated Mutual Fund

Federated Gov financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Gov security.
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Money Managers
Screen money managers from public funds and ETFs managed around the world
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm