Green Brick Partners Stock Market Value
| GRBK Stock | USD 57.63 0.94 1.66% |
| Symbol | Green |
Green Brick Partners Price To Book Ratio
Is Household Durables 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 Green Brick. If investors know Green 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 Green Brick 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 0.269 | Earnings Share 7.71 | Revenue Per Share 44.291 | Quarterly Revenue Growth 0.25 | Return On Assets 0.1344 |
The market value of Green Brick Partners is measured differently than its book value, which is the value of Green that is recorded on the company's balance sheet. Investors also form their own opinion of Green Brick's value that differs from its market value or its book value, called intrinsic value, which is Green Brick'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 Green Brick's market value can be influenced by many factors that don't directly affect Green Brick'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 Green Brick's value and its price as these two are different measures arrived at by different means. Investors typically determine if Green Brick is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Green Brick'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.
Green Brick '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 Green Brick'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 Green Brick.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in Green Brick on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Green Brick Partners or generate 0.0% return on investment in Green Brick over 30 days. Green Brick is related to or competes with Arhaus, Floor Decor, Kingfisher Plc, Haverty Furniture, Kirklands, Tile Shop, and Home Depot. Green Brick Partners, Inc. operates as a homebuilding and land development company in the United States More
Green Brick 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 Green Brick'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 Green Brick Partners upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 12.59 | |||
| Value At Risk | (4.36) | |||
| Potential Upside | 3.07 |
Green Brick Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Green Brick's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Green Brick's standard deviation. In reality, there are many statistical measures that can use Green Brick historical prices to predict the future Green Brick's volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (0.60) | |||
| Treynor Ratio | (0.40) |
Green Brick Partners Backtested Returns
Green Brick Partners holds Efficiency (Sharpe) Ratio of -0.21, which attests that the entity had a -0.21% return per unit of risk over the last 3 months. Green Brick Partners exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Green Brick's Standard Deviation of 2.45, risk adjusted performance of (0.16), and Market Risk Adjusted Performance of (0.39) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.35, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Green Brick will likely underperform. At this point, Green Brick Partners has a negative expected return of -0.52%. Please make sure to check out Green Brick's potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Green Brick Partners performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Green Brick Partners has good predictability. Overlapping area represents the amount of predictability between Green Brick time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st of December 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 Green Brick Partners price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Green Brick price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 16.2 |
Green Brick Partners lagged returns against current returns
Autocorrelation, which is Green Brick 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 Green Brick's stock expected returns. We can calculate the autocorrelation of Green Brick returns to help us make a trade decision. For example, suppose you find that Green Brick 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 |
Green Brick 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 Green Brick stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Green Brick stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Green Brick stock over time.
Current vs Lagged Prices |
| Timeline |
Green Brick Lagged Returns
When evaluating Green Brick's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Green Brick stock have on its future price. Green Brick 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, Green Brick autocorrelation shows the relationship between Green Brick stock current value and its past values and can show if there is a momentum factor associated with investing in Green Brick Partners.
Regressed Prices |
| Timeline |
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Green Brick 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.