BerolinaCapital Premium (Germany) Probability of Future Fund Price Finishing Under 89.62
| DEDL Fund | EUR 94.20 1.07 1.12% |
BerolinaCapital |
BerolinaCapital Premium Target Price Odds to finish below 89.62
The tendency of BerolinaCapital 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 € 89.62 or more in 90 days |
| 94.20 | 90 days | 89.62 | about 35.55 |
Based on a normal probability distribution, the odds of BerolinaCapital Premium to drop to € 89.62 or more in 90 days from now is about 35.55 (This BerolinaCapital Premium probability density function shows the probability of BerolinaCapital Fund to fall within a particular range of prices over 90 days) . Probability of BerolinaCapital Premium price to stay between € 89.62 and its current price of €94.2 at the end of the 90-day period is about 59.09 .
Assuming the 90 days trading horizon BerolinaCapital Premium has a beta of 0.2 suggesting as returns on the market go up, BerolinaCapital Premium average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding BerolinaCapital Premium will be expected to be much smaller as well. Additionally BerolinaCapital Premium has an alpha of 0.1012, implying that it can generate a 0.1 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BerolinaCapital Premium Price Density |
| Price |
Predictive Modules for BerolinaCapital Premium
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BerolinaCapital Premium. 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.BerolinaCapital Premium Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BerolinaCapital Premium is not an exception. The market had few large corrections towards the BerolinaCapital Premium'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 BerolinaCapital Premium, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BerolinaCapital Premium within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.10 | |
β | Beta against Dow Jones | 0.20 | |
σ | Overall volatility | 2.28 | |
Ir | Information ratio | 0.03 |
BerolinaCapital Premium Technical Analysis
BerolinaCapital Premium's future price can be derived by breaking down and analyzing its technical indicators over time. BerolinaCapital Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BerolinaCapital Premium. In general, you should focus on analyzing BerolinaCapital Fund price patterns and their correlations with different microeconomic environments and drivers.
BerolinaCapital Premium Predictive Forecast Models
BerolinaCapital Premium's time-series forecasting models is one of many BerolinaCapital Premium'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 BerolinaCapital Premium'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 BerolinaCapital Premium 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, BerolinaCapital Premium's short interest history, or implied volatility extrapolated from BerolinaCapital Premium options trading.
Other Information on Investing in BerolinaCapital Fund
BerolinaCapital Premium financial ratios help investors to determine whether BerolinaCapital Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BerolinaCapital with respect to the benefits of owning BerolinaCapital Premium security.
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |