Holcim Stock Chance of Future Pink Sheet Price Finishing Over 100.00
| HCMLF Stock | USD 100.00 3.00 2.91% |
Holcim |
Holcim Target Price Odds to finish over 100.00
The tendency of Holcim Pink Sheet 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 above the current price in 90 days |
| 100.00 | 90 days | 100.00 | about 7.87 |
Based on a normal probability distribution, the odds of Holcim to move above the current price in 90 days from now is about 7.87 (This Holcim probability density function shows the probability of Holcim Pink Sheet to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Holcim has a beta of 0.0996. This usually indicates as returns on the market go up, Holcim average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Holcim will be expected to be much smaller as well. Additionally Holcim has an alpha of 0.0677, implying that it can generate a 0.0677 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Holcim Price Density |
| Price |
Predictive Modules for Holcim
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Holcim. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Holcim Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Holcim is not an exception. The market had few large corrections towards the Holcim'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 Holcim, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Holcim within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.1 | |
σ | Overall volatility | 2.03 | |
Ir | Information ratio | -0.03 |
Holcim Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Holcim Pink Sheet often depends not only on the future outlook of the current and potential Holcim's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Holcim's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 608 M |
Holcim Technical Analysis
Holcim's future price can be derived by breaking down and analyzing its technical indicators over time. Holcim Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Holcim. In general, you should focus on analyzing Holcim Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Holcim Predictive Forecast Models
Holcim's time-series forecasting models is one of many Holcim's pink sheet 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 Holcim'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 pink sheet 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 Holcim 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, Holcim's short interest history, or implied volatility extrapolated from Holcim options trading.
Other Information on Investing in Holcim Pink Sheet
Holcim financial ratios help investors to determine whether Holcim Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Holcim with respect to the benefits of owning Holcim security.