Consumer Finance Portfolio Fund Probability of Future Mutual Fund Price Finishing Over 16.00
| FSVLX Fund | USD 16.00 0.34 2.08% |
Consumer |
Consumer Finance Target Price Odds to finish over 16.00
The tendency of Consumer 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 Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 16.00 | 90 days | 16.00 | about 99.0 |
Based on a normal probability distribution, the odds of Consumer Finance to move above the current price in 90 days from now is about 99.0 (This Consumer Finance Portfolio probability density function shows the probability of Consumer Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.31 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Consumer Finance will likely underperform. Additionally Consumer Finance Portfolio has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. Consumer Finance Price Density |
| Price |
Predictive Modules for Consumer Finance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Consumer Finance Por. 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 Consumer Finance'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.
Consumer Finance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Consumer Finance is not an exception. The market had few large corrections towards the Consumer Finance'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 Consumer Finance Portfolio, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Consumer Finance within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.06 | |
β | Beta against NYSE Composite | 1.31 | |
σ | Overall volatility | 0.36 | |
Ir | Information ratio | -0.04 |
Consumer Finance 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 Consumer Finance for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Consumer Finance Por can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Consumer Finance Por generated a negative expected return over the last 90 days | |
| The fund generated three year return of -3.0% | |
| Consumer Finance Por retains 99.92% of its assets under management (AUM) in equities |
Consumer Finance Technical Analysis
Consumer Finance's future price can be derived by breaking down and analyzing its technical indicators over time. Consumer Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Consumer Finance Portfolio. In general, you should focus on analyzing Consumer Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Consumer Finance Predictive Forecast Models
Consumer Finance's time-series forecasting models is one of many Consumer Finance'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 Consumer Finance'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 Consumer Finance Por
Checking the ongoing alerts about Consumer Finance for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Consumer Finance Por help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Consumer Finance Por generated a negative expected return over the last 90 days | |
| The fund generated three year return of -3.0% | |
| Consumer Finance Por retains 99.92% of its assets under management (AUM) in equities |
Check out Consumer Finance Backtesting, Portfolio Optimization, Consumer Finance Correlation, Consumer Finance Hype Analysis, Consumer Finance Volatility, Consumer Finance History as well as Consumer Finance Performance. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.