SSIAM VNX50 (Vietnam) Probability of Future Etf Price Finishing Under 19,535
| FUESSV50 | 19,900 40.00 0.20% |
SSIAM |
SSIAM VNX50 Target Price Odds to finish below 19,535
The tendency of SSIAM 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 below current price in 90 days |
| 19,900 | 90 days | 19,900 | about 54.66 |
Based on a normal probability distribution, the odds of SSIAM VNX50 to move below current price in 90 days from now is about 54.66 (This SSIAM VNX50 ETF probability density function shows the probability of SSIAM Etf to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon SSIAM VNX50 ETF has a beta of -0.25. This usually indicates as returns on the benchmark increase, returns on holding SSIAM VNX50 are expected to decrease at a much lower rate. During a bear market, however, SSIAM VNX50 ETF is likely to outperform the market. Additionally SSIAM VNX50 ETF has an alpha of 0.07, implying that it can generate a 0.07 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SSIAM VNX50 Price Density |
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Predictive Modules for SSIAM VNX50
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SSIAM VNX50 ETF. 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 SSIAM VNX50'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.
SSIAM VNX50 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SSIAM VNX50 is not an exception. The market had few large corrections towards the SSIAM VNX50'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 SSIAM VNX50 ETF, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SSIAM VNX50 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | -0.25 | |
σ | Overall volatility | 434.48 | |
Ir | Information ratio | -0.05 |
SSIAM VNX50 Technical Analysis
SSIAM VNX50's future price can be derived by breaking down and analyzing its technical indicators over time. SSIAM Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SSIAM VNX50 ETF. In general, you should focus on analyzing SSIAM Etf price patterns and their correlations with different microeconomic environments and drivers.
SSIAM VNX50 Predictive Forecast Models
SSIAM VNX50's time-series forecasting models is one of many SSIAM VNX50'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 SSIAM VNX50'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 SSIAM VNX50 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, SSIAM VNX50's short interest history, or implied volatility extrapolated from SSIAM VNX50 options trading.