Goosehead Insurance (Germany) Probability of Future Stock Price Finishing Under 117.13

2OX Stock   120.85  4.25  3.64%   
Goosehead Insurance's future price is the expected price of Goosehead Insurance 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 Goosehead Insurance performance during a given time horizon utilizing its historical volatility. Check out Goosehead Insurance Backtesting, Goosehead Insurance Valuation, Goosehead Insurance Correlation, Goosehead Insurance Hype Analysis, Goosehead Insurance Volatility, Goosehead Insurance History as well as Goosehead Insurance Performance.
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Goosehead Insurance Target Price Odds to finish below 117.13

The tendency of Goosehead 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 drop to  117.13  or more in 90 days
 120.85 90 days 117.13 
about 98.0
Based on a normal probability distribution, the odds of Goosehead Insurance to drop to  117.13  or more in 90 days from now is about 98.0 (This Goosehead Insurance probability density function shows the probability of Goosehead Stock to fall within a particular range of prices over 90 days) . Probability of Goosehead Insurance price to stay between  117.13  and its current price of 120.85 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Goosehead Insurance has a beta of 0.37. This suggests as returns on the market go up, Goosehead Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Goosehead Insurance will be expected to be much smaller as well. Additionally Goosehead Insurance has an alpha of 0.7772, implying that it can generate a 0.78 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Goosehead Insurance Price Density   
       Price  

Predictive Modules for Goosehead Insurance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Goosehead Insurance. 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 Goosehead Insurance'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
114.03116.60119.17
Details
Intrinsic
Valuation
LowRealHigh
104.94126.20128.77
Details
Naive
Forecast
LowNextHigh
116.40118.98121.55
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
103.58112.44121.30
Details

Goosehead Insurance Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Goosehead Insurance is not an exception. The market had few large corrections towards the Goosehead Insurance'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 Goosehead Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Goosehead Insurance within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.78
β
Beta against Dow Jones0.37
σ
Overall volatility
13.51
Ir
Information ratio 0.28

Goosehead Insurance 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 Goosehead Stock often depends not only on the future outlook of the current and potential Goosehead Insurance'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. Goosehead Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding23 M
Short Long Term Debt6.9 M

Goosehead Insurance Technical Analysis

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

Goosehead Insurance Predictive Forecast Models

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

Additional Tools for Goosehead Stock Analysis

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