Goosehead Insurance (Germany) Market Value
| 2OX Stock | 119.60 3.55 2.88% |
| Symbol | Goosehead |
Goosehead Insurance 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Goosehead Insurance's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Goosehead Insurance.
| 06/09/2023 |
| 11/30/2024 |
If you would invest 0.00 in Goosehead Insurance on June 9, 2023 and sell it all today you would earn a total of 0.00 from holding Goosehead Insurance or generate 0.0% return on investment in Goosehead Insurance over 540 days. Goosehead Insurance is related to or competes with Apple, Apple, Apple, Apple, Apple, Apple, and Microsoft. More
Goosehead Insurance Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Goosehead Insurance's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Goosehead Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | 0.2284 | |||
| Maximum Drawdown | 15.12 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 4.9 |
Goosehead Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Goosehead Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Goosehead Insurance's standard deviation. In reality, there are many statistical measures that can use Goosehead Insurance historical prices to predict the future Goosehead Insurance's volatility.| Risk Adjusted Performance | 0.2233 | |||
| Jensen Alpha | 0.6315 | |||
| Total Risk Alpha | 0.2824 | |||
| Sortino Ratio | 0.3345 | |||
| Treynor Ratio | 1.25 |
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.
Goosehead Insurance Backtested Returns
Goosehead Insurance appears to be very steady, given 3 months investment horizon. Goosehead Insurance holds Efficiency (Sharpe) Ratio of 0.29, which attests that the entity had a 0.29% return per unit of risk over the last 3 months. By evaluating Goosehead Insurance's technical indicators, you can evaluate if the expected return of 0.73% is justified by implied risk. Please utilize Goosehead Insurance's Market Risk Adjusted Performance of 1.26, downside deviation of 1.72, and Risk Adjusted Performance of 0.2233 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Goosehead Insurance holds a performance score of 22. The company retains a Market Volatility (i.e., Beta) of 0.56, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Goosehead Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Goosehead Insurance is expected to be smaller as well. Please check Goosehead Insurance's semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Goosehead Insurance's current trending patterns will revert.
Auto-correlation | 0.54 |
Modest predictability
Goosehead Insurance has modest predictability. Overlapping area represents the amount of predictability between Goosehead Insurance time series from 9th of June 2023 to 5th of March 2024 and 5th of March 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Goosehead Insurance price movement. The serial correlation of 0.54 indicates that about 54.0% of current Goosehead Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 333.98 |
Goosehead Insurance lagged returns against current returns
Autocorrelation, which is Goosehead Insurance stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Goosehead Insurance's stock expected returns. We can calculate the autocorrelation of Goosehead Insurance returns to help us make a trade decision. For example, suppose you find that Goosehead Insurance has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Goosehead Insurance regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Goosehead Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goosehead Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Goosehead Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Goosehead Insurance Lagged Returns
When evaluating Goosehead Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Goosehead Insurance stock have on its future price. Goosehead Insurance autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Goosehead Insurance autocorrelation shows the relationship between Goosehead Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Goosehead Insurance.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
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.