Frost Credit Fund Probability of Future Mutual Fund Price Finishing Over 9.24

FCFAX Fund  USD 9.24  0.01  0.11%   
Frost Credit's future price is the expected price of Frost Credit 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 Frost Credit Fund performance during a given time horizon utilizing its historical volatility. Check out Frost Credit Backtesting, Portfolio Optimization, Frost Credit Correlation, Frost Credit Hype Analysis, Frost Credit Volatility, Frost Credit History as well as Frost Credit Performance.
  
Please specify Frost Credit's target price for which you would like Frost Credit odds to be computed.

Frost Credit Target Price Odds to finish over 9.24

The tendency of Frost 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 move above the current price in 90 days
 9.24 90 days 9.24 
about 37.73
Based on a normal probability distribution, the odds of Frost Credit to move above the current price in 90 days from now is about 37.73 (This Frost Credit Fund probability density function shows the probability of Frost Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Frost Credit has a beta of 0.12. This usually indicates as returns on the market go up, Frost Credit average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Frost Credit Fund will be expected to be much smaller as well. Additionally Frost Credit Fund has an alpha of 0.0048, implying that it can generate a 0.004796 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Frost Credit Price Density   
       Price  

Predictive Modules for Frost Credit

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Frost Credit. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Frost Credit's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
9.099.249.39
Details
Intrinsic
Valuation
LowRealHigh
9.099.249.39
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Frost Credit. Your research has to be compared to or analyzed against Frost Credit's peers to derive any actionable benefits. When done correctly, Frost Credit'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 Frost Credit.

Frost Credit Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Frost Credit is not an exception. The market had few large corrections towards the Frost Credit'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 Frost Credit Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Frost Credit within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0
β
Beta against NYSE Composite0.12
σ
Overall volatility
0.06
Ir
Information ratio -0.31

Frost Credit 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 Frost Credit for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Frost Credit 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 retains about 14.14% of its assets under management (AUM) in fixed income securities

Frost Credit Technical Analysis

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

Frost Credit Predictive Forecast Models

Frost Credit's time-series forecasting models is one of many Frost Credit'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 Frost Credit'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 Frost Credit

Checking the ongoing alerts about Frost Credit for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Frost Credit help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund retains about 14.14% of its assets under management (AUM) in fixed income securities
Check out Frost Credit Backtesting, Portfolio Optimization, Frost Credit Correlation, Frost Credit Hype Analysis, Frost Credit Volatility, Frost Credit History as well as Frost Credit Performance.
Note that the Frost Credit information on this page should be used as a complementary analysis to other Frost Credit'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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Please note, there is a significant difference between Frost Credit's value and its price as these two are different measures arrived at by different means. Investors typically determine if Frost Credit is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Frost Credit'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.