PROCIMMO RESIDENTIAL (Switzerland) Probability of Future Fund Price Finishing Over 146.95
| PRLF Fund | 151.00 2.00 1.34% |
PROCIMMO |
PROCIMMO RESIDENTIAL Target Price Odds to finish over 146.95
The tendency of PROCIMMO 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 stay above 146.95 in 90 days |
| 151.00 | 90 days | 146.95 | under 95 |
Based on a normal probability distribution, the odds of PROCIMMO RESIDENTIAL to stay above 146.95 in 90 days from now is under 95 (This PROCIMMO RESIDENTIAL LEMANIC probability density function shows the probability of PROCIMMO Fund to fall within a particular range of prices over 90 days) . Probability of PROCIMMO RESIDENTIAL price to stay between 146.95 and its current price of 151.0 at the end of the 90-day period is about 63.33 .
Assuming the 90 days trading horizon PROCIMMO RESIDENTIAL LEMANIC has a beta of -0.37 indicating as returns on the benchmark increase, returns on holding PROCIMMO RESIDENTIAL are expected to decrease at a much lower rate. During a bear market, however, PROCIMMO RESIDENTIAL LEMANIC is likely to outperform the market. Additionally PROCIMMO RESIDENTIAL LEMANIC has an alpha of 0.0176, implying that it can generate a 0.0176 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). PROCIMMO RESIDENTIAL Price Density |
| Price |
Predictive Modules for PROCIMMO RESIDENTIAL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PROCIMMO RESIDENTIAL. 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.PROCIMMO RESIDENTIAL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. PROCIMMO RESIDENTIAL is not an exception. The market had few large corrections towards the PROCIMMO RESIDENTIAL'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 PROCIMMO RESIDENTIAL LEMANIC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of PROCIMMO RESIDENTIAL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.37 | |
σ | Overall volatility | 1.93 | |
Ir | Information ratio | -0.02 |
PROCIMMO RESIDENTIAL Technical Analysis
PROCIMMO RESIDENTIAL's future price can be derived by breaking down and analyzing its technical indicators over time. PROCIMMO Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PROCIMMO RESIDENTIAL LEMANIC. In general, you should focus on analyzing PROCIMMO Fund price patterns and their correlations with different microeconomic environments and drivers.
PROCIMMO RESIDENTIAL Predictive Forecast Models
PROCIMMO RESIDENTIAL's time-series forecasting models is one of many PROCIMMO RESIDENTIAL'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 PROCIMMO RESIDENTIAL'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 PROCIMMO RESIDENTIAL 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, PROCIMMO RESIDENTIAL's short interest history, or implied volatility extrapolated from PROCIMMO RESIDENTIAL options trading.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |