Financial Services Portfolio Fund Probability of Future Mutual Fund Price Finishing Under 7.71

SFPAX Fund  USD 11.38  0.05  0.44%   
Financial Services' future price is the expected price of Financial Services 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 Financial Services Portfolio performance during a given time horizon utilizing its historical volatility. Check out Financial Services Backtesting, Portfolio Optimization, Financial Services Correlation, Financial Services Hype Analysis, Financial Services Volatility, Financial Services History as well as Financial Services Performance.
  
Please specify Financial Services' target price for which you would like Financial Services odds to be computed.

Financial Services Target Price Odds to finish below 7.71

The tendency of Financial 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 $ 7.71  or more in 90 days
 11.38 90 days 7.71 
near 1
Based on a normal probability distribution, the odds of Financial Services to drop to $ 7.71  or more in 90 days from now is near 1 (This Financial Services Portfolio probability density function shows the probability of Financial Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Financial Services price to stay between $ 7.71  and its current price of $11.38 at the end of the 90-day period is about 92.83 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.28 . This usually implies as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Financial Services will likely underperform. Additionally Financial Services Portfolio has an alpha of 0.049, implying that it can generate a 0.049 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Financial Services Price Density   
       Price  

Predictive Modules for Financial Services

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Financial Services. 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
10.2211.3812.54
Details
Intrinsic
Valuation
LowRealHigh
10.6011.7612.92
Details
Naive
Forecast
LowNextHigh
10.2011.3612.51
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.2311.3911.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Financial Services. Your research has to be compared to or analyzed against Financial Services' peers to derive any actionable benefits. When done correctly, Financial Services' 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 Financial Services.

Financial Services Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Financial Services is not an exception. The market had few large corrections towards the Financial Services' 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 Financial Services Portfolio, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Financial Services within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.05
β
Beta against Dow Jones1.28
σ
Overall volatility
0.56
Ir
Information ratio 0.07

Financial Services 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 Financial Services for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Financial Services 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 99.49% of its assets in stocks

Financial Services Technical Analysis

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

Financial Services Predictive Forecast Models

Financial Services' time-series forecasting models is one of many Financial Services' 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 Financial Services' 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 Financial Services

Checking the ongoing alerts about Financial Services for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Financial Services 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 99.49% of its assets in stocks

Other Information on Investing in Financial Mutual Fund

Financial Services financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial Services security.
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Money Managers
Screen money managers from public funds and ETFs managed around the world