Franklin Mutual Quest Fund Probability of Future Mutual Fund Price Finishing Over 16.72
| TEQIX Fund | USD 15.20 0.12 0.80% |
Franklin |
Franklin Mutual Target Price Odds to finish over 16.72
The tendency of Franklin 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 over $ 16.72 or more in 90 days |
| 15.20 | 90 days | 16.72 | close to zero percent |
Based on a normal probability distribution, the odds of Franklin Mutual to move over $ 16.72 or more in 90 days from now is close to zero percent (This Franklin Mutual Quest probability density function shows the probability of Franklin Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Franklin Mutual Quest price to stay between its current price of $ 15.20 and $ 16.72 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Franklin Mutual has a beta of 0.62. This usually implies as returns on the market go up, Franklin Mutual average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Franklin Mutual Quest will be expected to be much smaller as well. Additionally Franklin Mutual Quest has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Franklin Mutual Price Density |
| Price |
Predictive Modules for Franklin Mutual
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Franklin Mutual Quest. 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.Franklin Mutual Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Franklin Mutual is not an exception. The market had few large corrections towards the Franklin Mutual'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 Franklin Mutual Quest, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Franklin Mutual within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | 0.62 | |
σ | Overall volatility | 0.13 | |
Ir | Information ratio | -0.15 |
Franklin Mutual Technical Analysis
Franklin Mutual's future price can be derived by breaking down and analyzing its technical indicators over time. Franklin Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Franklin Mutual Quest. In general, you should focus on analyzing Franklin Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Franklin Mutual Predictive Forecast Models
Franklin Mutual's time-series forecasting models is one of many Franklin Mutual'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 Franklin Mutual'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Franklin Mutual in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Franklin Mutual's short interest history, or implied volatility extrapolated from Franklin Mutual options trading.
Other Information on Investing in Franklin Mutual Fund
Franklin Mutual financial ratios help investors to determine whether Franklin 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 Franklin with respect to the benefits of owning Franklin Mutual security.
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |