BEKA LUX (Germany) Odds of Future Fund Price Finishing Under 85.15
| 0P0001OSNK | 87.86 0.17 0.19% |
BEKA |
BEKA LUX Target Price Odds to finish below 85.15
The tendency of BEKA 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 drop to 85.15 or more in 90 days |
| 87.86 | 90 days | 85.15 | near 1 |
Based on a normal probability distribution, the odds of BEKA LUX to drop to 85.15 or more in 90 days from now is near 1 (This BEKA LUX SICAV probability density function shows the probability of BEKA Fund to fall within a particular range of prices over 90 days) . Probability of BEKA LUX SICAV price to stay between 85.15 and its current price of 87.86 at the end of the 90-day period is about 91.43 .
Assuming the 90 days trading horizon BEKA LUX has a beta of 0.11. This suggests as returns on the market go up, BEKA LUX average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding BEKA LUX SICAV will be expected to be much smaller as well. Additionally BEKA LUX SICAV has an alpha of 0.0065, implying that it can generate a 0.006474 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BEKA LUX Price Density |
| Price |
Predictive Modules for BEKA LUX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BEKA LUX SICAV. 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.BEKA LUX Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BEKA LUX is not an exception. The market had few large corrections towards the BEKA LUX'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 BEKA LUX SICAV, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BEKA LUX within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.11 | |
σ | Overall volatility | 0.70 | |
Ir | Information ratio | -0.45 |
BEKA LUX Technical Analysis
BEKA LUX's future price can be derived by breaking down and analyzing its technical indicators over time. BEKA Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BEKA LUX SICAV. In general, you should focus on analyzing BEKA Fund price patterns and their correlations with different microeconomic environments and drivers.
BEKA LUX Predictive Forecast Models
BEKA LUX's time-series forecasting models is one of many BEKA LUX'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 BEKA LUX'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 BEKA LUX 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, BEKA LUX's short interest history, or implied volatility extrapolated from BEKA LUX options trading.
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