CIMB SP (Germany) Odds of Future Etf Price Finishing Over 39.01
| P5P Etf | 39.01 0.10 0.26% |
CIMB |
CIMB SP Target Price Odds to finish over 39.01
The tendency of CIMB Etf 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 |
| 39.01 | 90 days | 39.01 | about 26.27 |
Based on a normal probability distribution, the odds of CIMB SP to move above the current price in 90 days from now is about 26.27 (This CIMB SP Ethical probability density function shows the probability of CIMB Etf to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon CIMB SP Ethical has a beta of -0.0661 indicating as returns on the benchmark increase, returns on holding CIMB SP are expected to decrease at a much lower rate. During a bear market, however, CIMB SP Ethical is likely to outperform the market. Additionally CIMB SP Ethical has an alpha of 0.1515, implying that it can generate a 0.15 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). CIMB SP Price Density |
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Predictive Modules for CIMB SP
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CIMB SP Ethical. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 CIMB SP'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.
CIMB SP Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CIMB SP is not an exception. The market had few large corrections towards the CIMB SP'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 CIMB SP Ethical, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CIMB SP within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.15 | |
β | Beta against Dow Jones | -0.07 | |
σ | Overall volatility | 1.48 | |
Ir | Information ratio | 0.01 |
CIMB SP Technical Analysis
CIMB SP's future price can be derived by breaking down and analyzing its technical indicators over time. CIMB Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CIMB SP Ethical. In general, you should focus on analyzing CIMB Etf price patterns and their correlations with different microeconomic environments and drivers.
CIMB SP Predictive Forecast Models
CIMB SP's time-series forecasting models is one of many CIMB SP's etf 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 CIMB SP'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 etf 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 CIMB SP 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, CIMB SP's short interest history, or implied volatility extrapolated from CIMB SP options trading.