Kosdaq Composite (Korea) Probability of Future Index Price Finishing Under 732.50
| KQ11 Index | 696.83 19.82 2.93% |
Kosdaq Composite Target Price Odds to finish below 732.50
The tendency of Kosdaq Index 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 under 732.50 after 90 days |
| 696.83 | 90 days | 732.50 | about 34.14 |
Based on a normal probability distribution, the odds of Kosdaq Composite to stay under 732.50 after 90 days from now is about 34.14 (This Kosdaq Composite Index probability density function shows the probability of Kosdaq Index to fall within a particular range of prices over 90 days) . Probability of Kosdaq Composite Index price to stay between its current price of 696.83 and 732.50 at the end of the 90-day period is about 28.63 .
Kosdaq Composite Price Density |
| Price |
Predictive Modules for Kosdaq Composite
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kosdaq Composite Index. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.Kosdaq Composite Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kosdaq Composite is not an exception. The market had few large corrections towards the Kosdaq Composite'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 Kosdaq Composite Index, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kosdaq Composite within the framework of very fundamental risk indicators.Kosdaq Composite Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Kosdaq Composite for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Kosdaq Composite Index can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Kosdaq Composite generated a negative expected return over the last 90 days |
Kosdaq Composite Technical Analysis
Kosdaq Composite's future price can be derived by breaking down and analyzing its technical indicators over time. Kosdaq Index technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kosdaq Composite Index. In general, you should focus on analyzing Kosdaq Index price patterns and their correlations with different microeconomic environments and drivers.
Kosdaq Composite Predictive Forecast Models
Kosdaq Composite's time-series forecasting models is one of many Kosdaq Composite's index 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 Kosdaq Composite'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 index market movement and maximize returns from investment trading.
Things to note about Kosdaq Composite Index
Checking the ongoing alerts about Kosdaq Composite for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Kosdaq Composite Index help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Kosdaq Composite generated a negative expected return over the last 90 days |