Federated Mdt Balanced Fund Probability of Future Mutual Fund Price Finishing Under 21.97

QABGX Fund  USD 24.11  0.10  0.41%   
Federated Mdt's future price is the expected price of Federated Mdt instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Federated Mdt Balanced performance during a given time horizon utilizing its historical volatility. Check out Federated Mdt Backtesting, Portfolio Optimization, Federated Mdt Correlation, Federated Mdt Hype Analysis, Federated Mdt Volatility, Federated Mdt History as well as Federated Mdt Performance.
  
Please specify Federated Mdt's target price for which you would like Federated Mdt odds to be computed.

Federated Mdt Target Price Odds to finish below 21.97

The tendency of Federated Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to drop to $ 21.97  or more in 90 days
 24.11 90 days 21.97 
near 1
Based on a normal probability distribution, the odds of Federated Mdt to drop to $ 21.97  or more in 90 days from now is near 1 (This Federated Mdt Balanced probability density function shows the probability of Federated Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Federated Mdt Balanced price to stay between $ 21.97  and its current price of $24.11 at the end of the 90-day period is about 91.68 .
Assuming the 90 days horizon Federated Mdt has a beta of 0.49 indicating as returns on the market go up, Federated Mdt average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Federated Mdt Balanced will be expected to be much smaller as well. Additionally Federated Mdt Balanced has an alpha of 0.0388, implying that it can generate a 0.0388 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Federated Mdt Price Density   
       Price  

Predictive Modules for Federated Mdt

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Federated Mdt Balanced. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
23.6624.1124.56
Details
Intrinsic
Valuation
LowRealHigh
23.6824.1324.58
Details
Naive
Forecast
LowNextHigh
23.6824.1324.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.9923.7724.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Federated Mdt. Your research has to be compared to or analyzed against Federated Mdt's peers to derive any actionable benefits. When done correctly, Federated Mdt's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Federated Mdt Balanced.

Federated Mdt Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Federated Mdt is not an exception. The market had few large corrections towards the Federated Mdt's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Federated Mdt Balanced, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Federated Mdt within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.04
β
Beta against Dow Jones0.49
σ
Overall volatility
0.44
Ir
Information ratio -0.05

Federated Mdt Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Federated Mdt for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Federated Mdt Balanced can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
The fund maintains about 8.54% of its assets in cash

Federated Mdt Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Federated Mutual Fund often depends not only on the future outlook of the current and potential Federated Mdt's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Federated Mdt's indicators that are reflective of the short sentiment are summarized in the table below.

Federated Mdt Technical Analysis

Federated Mdt's future price can be derived by breaking down and analyzing its technical indicators over time. Federated Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Federated Mdt Balanced. In general, you should focus on analyzing Federated Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Federated Mdt Predictive Forecast Models

Federated Mdt's time-series forecasting models is one of many Federated Mdt's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This non-stationary Federated Mdt'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 mutual fund market movement and maximize returns from investment trading.

Things to note about Federated Mdt Balanced

Checking the ongoing alerts about Federated Mdt for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Federated Mdt Balanced help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund maintains about 8.54% of its assets in cash

Other Information on Investing in Federated Mutual Fund

Federated Mdt 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 Mdt security.
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm