Federated Mortgage Fund Market Value

FGFIX Fund  USD 8.17  0.03  0.37%   
Federated Mortgage's market value is the price at which a share of Federated Mortgage trades on a public exchange. It measures the collective expectations of Federated Mortgage Fund investors about its performance. Federated Mortgage is trading at 8.17 as of the 24th of July 2025; that is 0.37 percent down since the beginning of the trading day. The fund's open price was 8.2.
With this module, you can estimate the performance of a buy and hold strategy of Federated Mortgage Fund and determine expected loss or profit from investing in Federated Mortgage over a given investment horizon. Check out Federated Mortgage Correlation, Federated Mortgage Volatility and Federated Mortgage Alpha and Beta module to complement your research on Federated Mortgage.
Symbol

Please note, there is a significant difference between Federated Mortgage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Federated Mortgage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Federated Mortgage's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Federated Mortgage 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Federated Mortgage's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Federated Mortgage.
0.00
04/25/2025
No Change 0.00  0.0 
In 2 months and 31 days
07/24/2025
0.00
If you would invest  0.00  in Federated Mortgage on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Federated Mortgage Fund or generate 0.0% return on investment in Federated Mortgage over 90 days. Federated Mortgage is related to or competes with Msift High, Barings High, Muzinich High, City National, Neuberger Berman, Janus High, and Payden High. The fund will invest in MBS that are issued or guaranteed by U.S More

Federated Mortgage Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Federated Mortgage's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Federated Mortgage Fund upside and downside potential and time the market with a certain degree of confidence.

Federated Mortgage Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Federated Mortgage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Federated Mortgage's standard deviation. In reality, there are many statistical measures that can use Federated Mortgage historical prices to predict the future Federated Mortgage's volatility.
Hype
Prediction
LowEstimatedHigh
7.898.208.51
Details
Intrinsic
Valuation
LowRealHigh
7.878.188.49
Details
Naive
Forecast
LowNextHigh
7.898.218.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.128.188.24
Details

Federated Mortgage Backtested Returns

At this stage we consider Federated Mutual Fund to be very steady. Federated Mortgage secures Sharpe Ratio (or Efficiency) of 0.0401, which denotes the fund had a 0.0401 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Federated Mortgage Fund, which you can use to evaluate the volatility of the entity. Please confirm Federated Mortgage's Downside Deviation of 0.369, coefficient of variation of 1279.91, and Mean Deviation of 0.2534 to check if the risk estimate we provide is consistent with the expected return of 0.0126%. The fund shows a Beta (market volatility) of 0.0395, which means not very significant fluctuations relative to the market. As returns on the market increase, Federated Mortgage's returns are expected to increase less than the market. However, during the bear market, the loss of holding Federated Mortgage is expected to be smaller as well.

Auto-correlation

    
  -0.6  

Good reverse predictability

Federated Mortgage Fund has good reverse predictability. Overlapping area represents the amount of predictability between Federated Mortgage time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Federated Mortgage price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Federated Mortgage price fluctuation can be explain by its past prices.
Correlation Coefficient-0.6
Spearman Rank Test-0.11
Residual Average0.0
Price Variance0.0

Federated Mortgage lagged returns against current returns

Autocorrelation, which is Federated Mortgage mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Federated Mortgage's mutual fund expected returns. We can calculate the autocorrelation of Federated Mortgage returns to help us make a trade decision. For example, suppose you find that Federated Mortgage has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Federated Mortgage regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Federated Mortgage mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Federated Mortgage mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Federated Mortgage mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Federated Mortgage Lagged Returns

When evaluating Federated Mortgage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Federated Mortgage mutual fund have on its future price. Federated Mortgage autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Federated Mortgage autocorrelation shows the relationship between Federated Mortgage mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Federated Mortgage Fund.
   Regressed Prices   
       Timeline  

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 Mortgage 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 Mortgage security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume