Biglari Holdings Stock Market Value
| BH-A Stock | USD 980.00 0.00 0.00% |
| Symbol | Biglari |
Biglari Holdings Price To Book Ratio
Biglari Holdings '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 Biglari Holdings' 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 Biglari Holdings.
| 05/09/2024 |
| 06/08/2024 |
If you would invest 0.00 in Biglari Holdings on May 9, 2024 and sell it all today you would earn a total of 0.00 from holding Biglari Holdings or generate 0.0% return on investment in Biglari Holdings over 30 days. Biglari Holdings is related to or competes with Flanigans Enterprises, BJs Restaurants, Chuys Holdings, Brinker International, Bloomin Brands, FAT Brands, and Potbelly. Biglari Holdings Inc., through its subsidiaries, primarily operates and franchises restaurants in the United States More
Biglari Holdings 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 Biglari Holdings' 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 Biglari Holdings upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.8 | |||
| Information Ratio | 0.0584 | |||
| Maximum Drawdown | 18.78 | |||
| Value At Risk | (3.86) | |||
| Potential Upside | 3.5 |
Biglari Holdings Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Biglari Holdings' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Biglari Holdings' standard deviation. In reality, there are many statistical measures that can use Biglari Holdings historical prices to predict the future Biglari Holdings' volatility.| Risk Adjusted Performance | 0.0482 | |||
| Jensen Alpha | 0.1472 | |||
| Total Risk Alpha | 0.1236 | |||
| Sortino Ratio | 0.0523 | |||
| Treynor Ratio | 0.1696 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Biglari Holdings' 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.
Biglari Holdings Backtested Returns
We consider Biglari Holdings very steady. Biglari Holdings secures Sharpe Ratio (or Efficiency) of 0.0369, which signifies that the company had a 0.0369% return per unit of standard deviation over the last 3 months. We have found twenty-four technical indicators for Biglari Holdings, which you can use to evaluate the volatility of the firm. Please confirm Biglari Holdings' risk adjusted performance of 0.0482, and Mean Deviation of 1.57 to double-check if the risk estimate we provide is consistent with the expected return of 0.0904%. Biglari Holdings has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.91, which signifies possible diversification benefits within a given portfolio. Biglari Holdings returns are very sensitive to returns on the market. As the market goes up or down, Biglari Holdings is expected to follow. Biglari Holdings right now shows a risk of 2.45%. Please confirm Biglari Holdings semi deviation, variance, jensen alpha, as well as the relationship between the downside deviation and information ratio , to decide if Biglari Holdings will be following its price patterns.
Auto-correlation | 0.25 |
Poor predictability
Biglari Holdings has poor predictability. Overlapping area represents the amount of predictability between Biglari Holdings time series from 9th of May 2024 to 24th of May 2024 and 24th of May 2024 to 8th of June 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 Biglari Holdings price movement. The serial correlation of 0.25 indicates that over 25.0% of current Biglari Holdings price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 16.41 |
Biglari Holdings lagged returns against current returns
Autocorrelation, which is Biglari Holdings 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 Biglari Holdings' stock expected returns. We can calculate the autocorrelation of Biglari Holdings returns to help us make a trade decision. For example, suppose you find that Biglari Holdings 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 |
Biglari Holdings 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 Biglari Holdings stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Biglari Holdings stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Biglari Holdings stock over time.
Current vs Lagged Prices |
| Timeline |
Biglari Holdings Lagged Returns
When evaluating Biglari Holdings' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Biglari Holdings stock have on its future price. Biglari Holdings 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, Biglari Holdings autocorrelation shows the relationship between Biglari Holdings stock current value and its past values and can show if there is a momentum factor associated with investing in Biglari Holdings.
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.Additional Information and Resources on Investing in Biglari Stock
When determining whether Biglari Holdings offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Biglari Holdings' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Biglari Holdings Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Biglari Holdings Stock:Check out Biglari Holdings Correlation, Biglari Holdings Volatility and Biglari Holdings Alpha and Beta module to complement your research on Biglari Holdings. For information on how to trade Biglari Stock refer to our How to Trade Biglari Stock guide.You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Biglari Holdings 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.