KIM KINDEX (Korea) Probability of Future Etf Price Finishing Under 103,585
| 114460 Etf | 103,210 10.00 0.01% |
KIM |
KIM KINDEX Target Price Odds to finish below 103,585
The tendency of KIM 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 |
| 103,210 | 90 days | 103,210 | about 79.55 |
Based on a normal probability distribution, the odds of KIM KINDEX to move below current price in 90 days from now is about 79.55 (This KIM KINDEX Treasury probability density function shows the probability of KIM Etf to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon KIM KINDEX has a beta of 0.018. This suggests as returns on the market go up, KIM KINDEX average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding KIM KINDEX Treasury will be expected to be much smaller as well. Additionally KIM KINDEX Treasury has an alpha of 0.0042, implying that it can generate a 0.00416 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). KIM KINDEX Price Density |
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Predictive Modules for KIM KINDEX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KIM KINDEX Treasury. 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as KIM KINDEX. Your research has to be compared to or analyzed against KIM KINDEX's peers to derive any actionable benefits. When done correctly, KIM KINDEX's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in KIM KINDEX Treasury.KIM KINDEX Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. KIM KINDEX is not an exception. The market had few large corrections towards the KIM KINDEX'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 KIM KINDEX Treasury, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of KIM KINDEX within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.02 | |
σ | Overall volatility | 529.50 | |
Ir | Information ratio | -0.16 |
KIM KINDEX Technical Analysis
KIM KINDEX's future price can be derived by breaking down and analyzing its technical indicators over time. KIM Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of KIM KINDEX Treasury. In general, you should focus on analyzing KIM Etf price patterns and their correlations with different microeconomic environments and drivers.
KIM KINDEX Predictive Forecast Models
KIM KINDEX's time-series forecasting models is one of many KIM KINDEX'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 KIM KINDEX'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 KIM KINDEX 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, KIM KINDEX's short interest history, or implied volatility extrapolated from KIM KINDEX options trading.