IAUCL (Chile) Chance of Future Stock Price Finishing Under 48.94
| IAUCL Stock | 49.89 0.00 0.00% |
IAUCL |
IAUCL Target Price Odds to finish below 48.94
The tendency of IAUCL Stock 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 drop to 48.94 or more in 90 days |
| 49.89 | 90 days | 48.94 | about 30.49 |
Based on a normal probability distribution, the odds of IAUCL to drop to 48.94 or more in 90 days from now is about 30.49 (This IAUCL probability density function shows the probability of IAUCL Stock to fall within a particular range of prices over 90 days) . Probability of IAUCL price to stay between 48.94 and its current price of 49.89 at the end of the 90-day period is about 27.84 .
Assuming the 90 days trading horizon IAUCL has a beta of -0.065. This usually indicates as returns on the benchmark increase, returns on holding IAUCL are expected to decrease at a much lower rate. During a bear market, however, IAUCL is likely to outperform the market. Additionally IAUCL has an alpha of 0.0673, implying that it can generate a 0.0673 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). IAUCL Price Density |
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Predictive Modules for IAUCL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IAUCL. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.IAUCL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. IAUCL is not an exception. The market had few large corrections towards the IAUCL'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 IAUCL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of IAUCL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | -0.07 | |
σ | Overall volatility | 1.32 | |
Ir | Information ratio | 0.04 |
IAUCL Technical Analysis
IAUCL's future price can be derived by breaking down and analyzing its technical indicators over time. IAUCL Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of IAUCL. In general, you should focus on analyzing IAUCL Stock price patterns and their correlations with different microeconomic environments and drivers.
IAUCL Predictive Forecast Models
IAUCL's time-series forecasting models is one of many IAUCL's stock 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 IAUCL'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 stock 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 IAUCL 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, IAUCL's short interest history, or implied volatility extrapolated from IAUCL options trading.
Additional Tools for IAUCL Stock Analysis
When running IAUCL's price analysis, check to measure IAUCL's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy IAUCL is operating at the current time. Most of IAUCL's value examination focuses on studying past and present price action to predict the probability of IAUCL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IAUCL's price. Additionally, you may evaluate how the addition of IAUCL to your portfolios can decrease your overall portfolio volatility.