Multi Manager (Denmark) Probability of Future Stock Price Finishing Over 164.75
| MMIGA Stock | DKK 164.75 0.80 0.49% |
Multi |
Multi Manager Target Price Odds to finish over 164.75
The tendency of Multi Stock 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 move above the current price in 90 days |
| 164.75 | 90 days | 164.75 | about 48.39 |
Based on a normal probability distribution, the odds of Multi Manager to move above the current price in 90 days from now is about 48.39 (This Multi Manager Invest probability density function shows the probability of Multi Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Multi Manager Invest has a beta of -0.2. This indicates as returns on the benchmark increase, returns on holding Multi Manager are expected to decrease at a much lower rate. During a bear market, however, Multi Manager Invest is likely to outperform the market. Additionally Multi Manager Invest has an alpha of 0.095, implying that it can generate a 0.095 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Multi Manager Price Density |
| Price |
Predictive Modules for Multi Manager
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Multi Manager Invest. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multi Manager's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Multi Manager Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Multi Manager is not an exception. The market had few large corrections towards the Multi Manager'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 Multi Manager Invest, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Multi Manager within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.09 | |
β | Beta against NYSE Composite | -0.2 | |
σ | Overall volatility | 3.23 | |
Ir | Information ratio | -0.01 |
Multi Manager Technical Analysis
Multi Manager's future price can be derived by breaking down and analyzing its technical indicators over time. Multi Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Multi Manager Invest. In general, you should focus on analyzing Multi Stock price patterns and their correlations with different microeconomic environments and drivers.
Multi Manager Predictive Forecast Models
Multi Manager's time-series forecasting models is one of many Multi Manager's stock 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 Multi Manager'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 stock 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 Multi Manager 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, Multi Manager's short interest history, or implied volatility extrapolated from Multi Manager options trading.
Check out Multi Manager Backtesting, Multi Manager Valuation, Multi Manager Correlation, Multi Manager Hype Analysis, Multi Manager Volatility, Multi Manager History as well as Multi Manager Performance. Note that the Multi Manager Invest information on this page should be used as a complementary analysis to other Multi Manager's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Multi Stock analysis
When running Multi Manager's price analysis, check to measure Multi Manager's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Multi Manager is operating at the current time. Most of Multi Manager's value examination focuses on studying past and present price action to predict the probability of Multi Manager's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Multi Manager's price. Additionally, you may evaluate how the addition of Multi Manager to your portfolios can decrease your overall portfolio volatility.
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