Fibra Mty (Mexico) Probability of Future Stock Price Finishing Over 12.06
| FMTY14 Stock | MXN 10.40 0.09 0.86% |
Fibra |
Fibra Mty Target Price Odds to finish over 12.06
The tendency of Fibra Stock 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 12.06 or more in 90 days |
| 10.40 | 90 days | 12.06 | near 1 |
Based on a normal probability distribution, the odds of Fibra Mty to move over 12.06 or more in 90 days from now is near 1 (This Fibra Mty SAPI probability density function shows the probability of Fibra Stock to fall within a particular range of prices over 90 days) . Probability of Fibra Mty SAPI price to stay between its current price of 10.40 and 12.06 at the end of the 90-day period is about 51.66 .
Assuming the 90 days trading horizon Fibra Mty has a beta of 0.18. This usually indicates as returns on the market go up, Fibra Mty average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Fibra Mty SAPI will be expected to be much smaller as well. Additionally Fibra Mty SAPI has an alpha of 0.014, implying that it can generate a 0.014 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Fibra Mty Price Density |
| Price |
Predictive Modules for Fibra Mty
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fibra Mty SAPI. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Fibra Mty Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fibra Mty is not an exception. The market had few large corrections towards the Fibra Mty'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 Fibra Mty SAPI, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fibra Mty within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.18 | |
σ | Overall volatility | 0.24 | |
Ir | Information ratio | -0.05 |
Fibra Mty Technical Analysis
Fibra Mty's future price can be derived by breaking down and analyzing its technical indicators over time. Fibra Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fibra Mty SAPI. In general, you should focus on analyzing Fibra Stock price patterns and their correlations with different microeconomic environments and drivers.
Fibra Mty Predictive Forecast Models
Fibra Mty's time-series forecasting models is one of many Fibra Mty's stock 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 Fibra Mty'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 stock 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 Fibra Mty 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, Fibra Mty's short interest history, or implied volatility extrapolated from Fibra Mty options trading.
Other Information on Investing in Fibra Stock
Fibra Mty financial ratios help investors to determine whether Fibra Stock 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 Fibra with respect to the benefits of owning Fibra Mty security.