Coca-Cola FEMSA (Germany) Probability of Future Stock Price Finishing Over 4.4
| CFS5 Stock | EUR 7.55 0.05 0.66% |
Coca-Cola |
Coca-Cola FEMSA Target Price Odds to finish over 4.4
The tendency of Coca-Cola 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 stay above € 4.40 in 90 days |
| 7.55 | 90 days | 4.40 | close to 99 |
Based on a normal probability distribution, the odds of Coca-Cola FEMSA to stay above € 4.40 in 90 days from now is close to 99 (This Coca Cola FEMSA SAB probability density function shows the probability of Coca-Cola Stock to fall within a particular range of prices over 90 days) . Probability of Coca Cola FEMSA price to stay between € 4.40 and its current price of €7.55 at the end of the 90-day period is about 37.86 .
Assuming the 90 days trading horizon Coca-Cola FEMSA has a beta of 0.78 suggesting as returns on the market go up, Coca-Cola FEMSA average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Coca Cola FEMSA SAB will be expected to be much smaller as well. Additionally Coca Cola FEMSA SAB 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. Coca-Cola FEMSA Price Density |
| Price |
Predictive Modules for Coca-Cola FEMSA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Coca Cola FEMSA. 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.Coca-Cola FEMSA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Coca-Cola FEMSA is not an exception. The market had few large corrections towards the Coca-Cola FEMSA'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 Coca Cola FEMSA SAB, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Coca-Cola FEMSA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.05 | |
β | Beta against Dow Jones | 0.78 | |
σ | Overall volatility | 0.26 | |
Ir | Information ratio | -0.03 |
Coca-Cola FEMSA Technical Analysis
Coca-Cola FEMSA's future price can be derived by breaking down and analyzing its technical indicators over time. Coca-Cola Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Coca Cola FEMSA SAB. In general, you should focus on analyzing Coca-Cola Stock price patterns and their correlations with different microeconomic environments and drivers.
Coca-Cola FEMSA Predictive Forecast Models
Coca-Cola FEMSA's time-series forecasting models is one of many Coca-Cola FEMSA'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 Coca-Cola FEMSA'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 Coca-Cola FEMSA 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, Coca-Cola FEMSA's short interest history, or implied volatility extrapolated from Coca-Cola FEMSA options trading.
Additional Information and Resources on Investing in Coca-Cola Stock
When determining whether Coca Cola FEMSA is a strong investment it is important to analyze Coca-Cola FEMSA's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Coca-Cola FEMSA's future performance. For an informed investment choice regarding Coca-Cola Stock, refer to the following important reports:Check out Coca-Cola FEMSA Backtesting, Coca-Cola FEMSA Valuation, Coca-Cola FEMSA Correlation, Coca-Cola FEMSA Hype Analysis, Coca-Cola FEMSA Volatility, Coca-Cola FEMSA History as well as Coca-Cola FEMSA Performance. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.