Sparinvest Lange (Denmark) Probability of Future Fund Price Finishing Over 95.73
SPILOLKLA | DKK 95.80 0.32 0.34% |
Sparinvest |
Sparinvest Lange Target Price Odds to finish over 95.73
The tendency of Sparinvest 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 kr 95.73 in 90 days |
95.80 | 90 days | 95.73 | under 4 |
Based on a normal probability distribution, the odds of Sparinvest Lange to stay above kr 95.73 in 90 days from now is under 4 (This Sparinvest Lange probability density function shows the probability of Sparinvest Fund to fall within a particular range of prices over 90 days) . Probability of Sparinvest Lange price to stay between kr 95.73 and its current price of kr95.8 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Sparinvest Lange has a beta of 0.0068. This usually implies as returns on the market go up, Sparinvest Lange average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Sparinvest Lange will be expected to be much smaller as well. Additionally Sparinvest Lange has an alpha of 0.0219, implying that it can generate a 0.0219 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Sparinvest Lange Price Density |
Price |
Predictive Modules for Sparinvest Lange
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sparinvest Lange. 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.Sparinvest Lange Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sparinvest Lange is not an exception. The market had few large corrections towards the Sparinvest Lange'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 Sparinvest Lange, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sparinvest Lange within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.01 | |
σ | Overall volatility | 0.50 | |
Ir | Information ratio | -0.35 |
Sparinvest Lange Technical Analysis
Sparinvest Lange's future price can be derived by breaking down and analyzing its technical indicators over time. Sparinvest Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sparinvest Lange. In general, you should focus on analyzing Sparinvest Fund price patterns and their correlations with different microeconomic environments and drivers.
Sparinvest Lange Predictive Forecast Models
Sparinvest Lange's time-series forecasting models is one of many Sparinvest Lange'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 Sparinvest Lange'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 Sparinvest Lange 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, Sparinvest Lange's short interest history, or implied volatility extrapolated from Sparinvest Lange options trading.
Other Information on Investing in Sparinvest Fund
Sparinvest Lange financial ratios help investors to determine whether Sparinvest 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 Sparinvest with respect to the benefits of owning Sparinvest Lange security.
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