SOL KTB (Korea) Odds of Future Etf Price Finishing Under 101994.0
| 438560 Etf | 101,865 140.00 0.14% |
SOL |
SOL KTB Target Price Odds to finish below 101994.0
The tendency of SOL 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 stay under 101,994 after 90 days |
| 101,865 | 90 days | 101,994 | under 95 |
Based on a normal probability distribution, the odds of SOL KTB to stay under 101,994 after 90 days from now is under 95 (This SOL KTB 3Y probability density function shows the probability of SOL Etf to fall within a particular range of prices over 90 days) . Probability of SOL KTB 3Y price to stay between its current price of 101,865 and 101,994 at the end of the 90-day period is roughly 2.69 .
Assuming the 90 days trading horizon SOL KTB has a beta of 0.0291. This suggests as returns on the market go up, SOL KTB average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SOL KTB 3Y will be expected to be much smaller as well. Additionally SOL KTB 3Y has an alpha of 0.0117, implying that it can generate a 0.0117 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SOL KTB Price Density |
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Predictive Modules for SOL KTB
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SOL KTB 3Y. 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 SOL KTB. Your research has to be compared to or analyzed against SOL KTB's peers to derive any actionable benefits. When done correctly, SOL KTB'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 SOL KTB 3Y.SOL KTB Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SOL KTB is not an exception. The market had few large corrections towards the SOL KTB'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 SOL KTB 3Y, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SOL KTB within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 593.02 | |
Ir | Information ratio | -0.09 |
SOL KTB Technical Analysis
SOL KTB's future price can be derived by breaking down and analyzing its technical indicators over time. SOL Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SOL KTB 3Y. In general, you should focus on analyzing SOL Etf price patterns and their correlations with different microeconomic environments and drivers.
SOL KTB Predictive Forecast Models
SOL KTB's time-series forecasting models is one of many SOL KTB'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 SOL KTB'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 SOL KTB 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, SOL KTB's short interest history, or implied volatility extrapolated from SOL KTB options trading.