Baloise Swiss (Switzerland) Probability of Future Fund Price Finishing Over 116.53
| BALSP Fund | 126.50 0.50 0.39% |
Baloise |
Baloise Swiss Target Price Odds to finish over 116.53
The tendency of Baloise 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 116.53 in 90 days |
| 126.50 | 90 days | 116.53 | about 82.19 |
Based on a normal probability distribution, the odds of Baloise Swiss to stay above 116.53 in 90 days from now is about 82.19 (This Baloise Swiss Property probability density function shows the probability of Baloise Fund to fall within a particular range of prices over 90 days) . Probability of Baloise Swiss Property price to stay between 116.53 and its current price of 126.5 at the end of the 90-day period is about 81.89 .
Assuming the 90 days trading horizon Baloise Swiss has a beta of 0.0682 suggesting as returns on the market go up, Baloise Swiss average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Baloise Swiss Property will be expected to be much smaller as well. Additionally Baloise Swiss Property has an alpha of 0.142, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Baloise Swiss Price Density |
| Price |
Predictive Modules for Baloise Swiss
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baloise Swiss Property. 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.Baloise Swiss Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Baloise Swiss is not an exception. The market had few large corrections towards the Baloise Swiss' 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 Baloise Swiss Property, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Baloise Swiss within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | 0.07 | |
σ | Overall volatility | 2.71 | |
Ir | Information ratio | 0.18 |
Baloise Swiss Technical Analysis
Baloise Swiss' future price can be derived by breaking down and analyzing its technical indicators over time. Baloise Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Baloise Swiss Property. In general, you should focus on analyzing Baloise Fund price patterns and their correlations with different microeconomic environments and drivers.
Baloise Swiss Predictive Forecast Models
Baloise Swiss' time-series forecasting models is one of many Baloise Swiss' 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 Baloise Swiss' 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 Baloise Swiss 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, Baloise Swiss' short interest history, or implied volatility extrapolated from Baloise Swiss options trading.
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