Cronos Immo (Switzerland) Probability of Future Fund Price Finishing Over 150.0
| CIF Fund | 125.00 2.50 2.04% |
Cronos |
Cronos Immo Target Price Odds to finish over 150.0
The tendency of Cronos 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 150.00 or more in 90 days |
| 125.00 | 90 days | 150.00 | close to zero percent |
Based on a normal probability distribution, the odds of Cronos Immo to move over 150.00 or more in 90 days from now is close to zero percent (This Cronos Immo Fund probability density function shows the probability of Cronos Fund to fall within a particular range of prices over 90 days) . Probability of Cronos Immo Fund price to stay between its current price of 125.00 and 150.00 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Cronos Immo Fund has a beta of -0.0977 suggesting as returns on the benchmark increase, returns on holding Cronos Immo are expected to decrease at a much lower rate. During a bear market, however, Cronos Immo Fund is likely to outperform the market. Additionally Cronos Immo Fund has an alpha of 0.1431, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Cronos Immo Price Density |
| Price |
Predictive Modules for Cronos Immo
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cronos Immo Fund. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Cronos Immo Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Cronos Immo is not an exception. The market had few large corrections towards the Cronos Immo'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 Cronos Immo Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Cronos Immo within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 3.07 | |
Ir | Information ratio | 0.13 |
Cronos Immo Technical Analysis
Cronos Immo's future price can be derived by breaking down and analyzing its technical indicators over time. Cronos Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Cronos Immo Fund. In general, you should focus on analyzing Cronos Fund price patterns and their correlations with different microeconomic environments and drivers.
Cronos Immo Predictive Forecast Models
Cronos Immo's time-series forecasting models is one of many Cronos Immo's 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 Cronos Immo'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 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 Cronos Immo 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, Cronos Immo's short interest history, or implied volatility extrapolated from Cronos Immo options trading.
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |