ArcelorMittal (Brazil) Probability of Future Stock Price Finishing Over 69.14

ARMT34 Stock  BRL 67.96  0.48  0.71%   
ArcelorMittal's future price is the expected price of ArcelorMittal instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of ArcelorMittal SA performance during a given time horizon utilizing its historical volatility. Check out ArcelorMittal Backtesting, ArcelorMittal Valuation, ArcelorMittal Correlation, ArcelorMittal Hype Analysis, ArcelorMittal Volatility, ArcelorMittal History as well as ArcelorMittal Performance.
  
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ArcelorMittal Target Price Odds to finish over 69.14

The tendency of ArcelorMittal 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 PriceHorizonTarget PriceOdds to move over R$ 69.14  or more in 90 days
 67.96 90 days 69.14 
about 6.23
Based on a normal probability distribution, the odds of ArcelorMittal to move over R$ 69.14  or more in 90 days from now is about 6.23 (This ArcelorMittal SA probability density function shows the probability of ArcelorMittal Stock to fall within a particular range of prices over 90 days) . Probability of ArcelorMittal SA price to stay between its current price of R$ 67.96  and R$ 69.14  at the end of the 90-day period is about 12.42 .
Assuming the 90 days trading horizon ArcelorMittal SA has a beta of -0.61. This suggests as returns on the benchmark increase, returns on holding ArcelorMittal are expected to decrease at a much lower rate. During a bear market, however, ArcelorMittal SA is likely to outperform the market. Additionally ArcelorMittal SA has an alpha of 0.1013, implying that it can generate a 0.1 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   ArcelorMittal Price Density   
       Price  

Predictive Modules for ArcelorMittal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ArcelorMittal SA. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ArcelorMittal's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
66.2867.9669.64
Details
Intrinsic
Valuation
LowRealHigh
54.9656.6474.76
Details
Naive
Forecast
LowNextHigh
65.1066.7868.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
63.3266.0768.82
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ArcelorMittal. Your research has to be compared to or analyzed against ArcelorMittal's peers to derive any actionable benefits. When done correctly, ArcelorMittal'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 ArcelorMittal SA.

ArcelorMittal Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. ArcelorMittal is not an exception. The market had few large corrections towards the ArcelorMittal'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 ArcelorMittal SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ArcelorMittal within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.10
β
Beta against NYSE Composite-0.61
σ
Overall volatility
1.83
Ir
Information ratio 0.04

ArcelorMittal 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 ArcelorMittal Stock often depends not only on the future outlook of the current and potential ArcelorMittal'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. ArcelorMittal's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding910.9 M

ArcelorMittal Technical Analysis

ArcelorMittal's future price can be derived by breaking down and analyzing its technical indicators over time. ArcelorMittal Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ArcelorMittal SA. In general, you should focus on analyzing ArcelorMittal Stock price patterns and their correlations with different microeconomic environments and drivers.

ArcelorMittal Predictive Forecast Models

ArcelorMittal's time-series forecasting models is one of many ArcelorMittal'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 ArcelorMittal'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 ArcelorMittal 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, ArcelorMittal's short interest history, or implied volatility extrapolated from ArcelorMittal options trading.

Other Information on Investing in ArcelorMittal Stock

ArcelorMittal financial ratios help investors to determine whether ArcelorMittal Stock 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 ArcelorMittal with respect to the benefits of owning ArcelorMittal security.