KGHM Polska (Poland) Probability of Future Stock Price Finishing Over 139.25

KGH Stock   130.65  2.75  2.06%   
KGHM Polska's future price is the expected price of KGHM Polska 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 KGHM Polska Miedz performance during a given time horizon utilizing its historical volatility. Check out KGHM Polska Backtesting, KGHM Polska Valuation, KGHM Polska Correlation, KGHM Polska Hype Analysis, KGHM Polska Volatility, KGHM Polska History as well as KGHM Polska Performance.
  
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KGHM Polska Target Price Odds to finish over 139.25

The tendency of KGHM 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  139.25  or more in 90 days
 130.65 90 days 139.25 
about 66.56
Based on a normal probability distribution, the odds of KGHM Polska to move over  139.25  or more in 90 days from now is about 66.56 (This KGHM Polska Miedz probability density function shows the probability of KGHM Stock to fall within a particular range of prices over 90 days) . Probability of KGHM Polska Miedz price to stay between its current price of  130.65  and  139.25  at the end of the 90-day period is about 20.04 .
Assuming the 90 days trading horizon KGHM Polska Miedz has a beta of -0.87. This indicates Additionally KGHM Polska Miedz has an alpha of 0.1043, implying that it can generate a 0.1 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   KGHM Polska Price Density   
       Price  

Predictive Modules for KGHM Polska

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KGHM Polska Miedz. 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 KGHM Polska'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
128.31130.65132.99
Details
Intrinsic
Valuation
LowRealHigh
113.53115.87143.72
Details
Naive
Forecast
LowNextHigh
136.28138.62140.97
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
116.12139.74163.35
Details

KGHM Polska Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. KGHM Polska is not an exception. The market had few large corrections towards the KGHM Polska'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 KGHM Polska Miedz, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of KGHM Polska within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.10
β
Beta against Dow Jones-0.87
σ
Overall volatility
12.65
Ir
Information ratio -0.05

KGHM Polska Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of KGHM Polska for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for KGHM Polska Miedz can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
KGHM Polska Miedz generated a negative expected return over the last 90 days
About 32.0% of the company outstanding shares are owned by corporate insiders

KGHM Polska 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 KGHM Stock often depends not only on the future outlook of the current and potential KGHM Polska'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. KGHM Polska's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding200 M
Cash And Short Term InvestmentsB

KGHM Polska Technical Analysis

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

KGHM Polska Predictive Forecast Models

KGHM Polska's time-series forecasting models is one of many KGHM Polska'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 KGHM Polska'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.

Things to note about KGHM Polska Miedz

Checking the ongoing alerts about KGHM Polska for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for KGHM Polska Miedz help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
KGHM Polska Miedz generated a negative expected return over the last 90 days
About 32.0% of the company outstanding shares are owned by corporate insiders

Additional Tools for KGHM Stock Analysis

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