Martin Marietta (Germany) Probability of Future Stock Price Finishing Over 490.4

MMX Stock   562.00  2.40  0.43%   
Martin Marietta's future price is the expected price of Martin Marietta 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 Martin Marietta Materials performance during a given time horizon utilizing its historical volatility. Check out Martin Marietta Backtesting, Martin Marietta Valuation, Martin Marietta Correlation, Martin Marietta Hype Analysis, Martin Marietta Volatility, Martin Marietta History as well as Martin Marietta Performance.
  
Please specify Martin Marietta's target price for which you would like Martin Marietta odds to be computed.

Martin Marietta Target Price Odds to finish over 490.4

The tendency of Martin 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 stay above  490.40  in 90 days
 562.00 90 days 490.40 
about 71.62
Based on a normal probability distribution, the odds of Martin Marietta to stay above  490.40  in 90 days from now is about 71.62 (This Martin Marietta Materials probability density function shows the probability of Martin Stock to fall within a particular range of prices over 90 days) . Probability of Martin Marietta Materials price to stay between  490.40  and its current price of 562.0 at the end of the 90-day period is about 60.39 .
Assuming the 90 days trading horizon Martin Marietta has a beta of 0.6. This indicates as returns on the market go up, Martin Marietta average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Martin Marietta Materials will be expected to be much smaller as well. Additionally Martin Marietta Materials has an alpha of 0.1888, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Martin Marietta Price Density   
       Price  

Predictive Modules for Martin Marietta

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Martin Marietta Materials. 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 Martin Marietta'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
560.57562.00563.43
Details
Intrinsic
Valuation
LowRealHigh
505.80626.37627.80
Details
Naive
Forecast
LowNextHigh
567.04568.47569.89
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
546.95562.62578.29
Details

Martin Marietta Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Martin Marietta is not an exception. The market had few large corrections towards the Martin Marietta'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 Martin Marietta Materials, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Martin Marietta within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.19
β
Beta against Dow Jones0.60
σ
Overall volatility
40.09
Ir
Information ratio 0.1

Martin Marietta 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 Martin Stock often depends not only on the future outlook of the current and potential Martin Marietta'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. Martin Marietta's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding62.1 M
Dividends Paid159.1 M
Short Long Term Debt699.1 M

Martin Marietta Technical Analysis

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

Martin Marietta Predictive Forecast Models

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

Additional Tools for Martin Stock Analysis

When running Martin Marietta's price analysis, check to measure Martin Marietta'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 Martin Marietta is operating at the current time. Most of Martin Marietta's value examination focuses on studying past and present price action to predict the probability of Martin Marietta's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Martin Marietta's price. Additionally, you may evaluate how the addition of Martin Marietta to your portfolios can decrease your overall portfolio volatility.