Goosehead Insurance Stock Market Value
| GSHD Stock | USD 126.50 3.19 2.46% |
| Symbol | Goosehead |
Goosehead Insurance Price To Book Ratio
Is Insurance Brokers space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Goosehead Insurance. If investors know Goosehead will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Goosehead Insurance listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.051 | Earnings Share 0.7 | Revenue Per Share 11.444 | Quarterly Revenue Growth 0.1 | Return On Assets 0.0637 |
The market value of Goosehead Insurance is measured differently than its book value, which is the value of Goosehead that is recorded on the company's balance sheet. Investors also form their own opinion of Goosehead Insurance's value that differs from its market value or its book value, called intrinsic value, which is Goosehead Insurance's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Goosehead Insurance's market value can be influenced by many factors that don't directly affect Goosehead Insurance's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Goosehead Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Goosehead Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Goosehead Insurance's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 08/31/2024 |
| 11/29/2024 |
If you would invest 0.00 in Goosehead Insurance on August 31, 2024 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 90 days. Goosehead Insurance is related to or competes with Enstar Group, Waterdrop ADR, Axa Equitable, Hartford Financial, International General, American International, and Sun Life. Goosehead Insurance, Inc. operates as a holding company for Goosehead Financial, LLC that provides personal lines insura... 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 | 1.45 | |||
| Information Ratio | 0.2181 | |||
| Maximum Drawdown | 14.35 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 5.06 |
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 | 0.213 | |||
| Jensen Alpha | 0.5681 | |||
| Total Risk Alpha | 0.2814 | |||
| Sortino Ratio | 0.3704 | |||
| Treynor Ratio | 0.8984 |
Goosehead Insurance Backtested Returns
Goosehead Insurance appears to be very steady, given 3 months investment horizon. Goosehead Insurance holds Efficiency (Sharpe) Ratio of 0.27, which attests that the entity had a 0.27% 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 0.69% is justified by implied risk. Please utilize Goosehead Insurance's Risk Adjusted Performance of 0.213, downside deviation of 1.45, and Market Risk Adjusted Performance of 0.9084 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 21. The company retains a Market Volatility (i.e., Beta) of 0.73, 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 sortino ratio, semi variance, rate of daily change, as well as the relationship between the value at risk and kurtosis , to make a quick decision on whether Goosehead Insurance's current trending patterns will revert.
Auto-correlation | 0.83 |
Very good predictability
Goosehead Insurance has very good predictability. Overlapping area represents the amount of predictability between Goosehead Insurance time series from 31st of August 2024 to 15th of October 2024 and 15th of October 2024 to 29th 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 0.83 indicates that around 83.0% of current Goosehead Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 95.86 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Goosehead Insurance is a strong investment it is important to analyze Goosehead Insurance's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Goosehead Insurance's future performance. For an informed investment choice regarding Goosehead Stock, refer to the following important reports:Check out Goosehead Insurance Correlation, Goosehead Insurance Volatility and Goosehead Insurance Alpha and Beta module to complement your research on Goosehead Insurance. For information on how to trade Goosehead Stock refer to our How to Trade Goosehead Stock guide.You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Goosehead Insurance technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.