Baristas Coffee Stock Market Value
| BCCI Stock | USD 0 0.00 0.00% |
| Symbol | Baristas |
Baristas Coffee '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 Baristas Coffee's pink sheet 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 Baristas Coffee.
| 03/01/2024 |
| 05/30/2024 |
If you would invest 0.00 in Baristas Coffee on March 1, 2024 and sell it all today you would earn a total of 0.00 from holding Baristas Coffee or generate 0.0% return on investment in Baristas Coffee over 90 days. Baristas Coffee is related to or competes with BRF SA, Pilgrims Pride, John B, Seneca Foods, Bridgford Foods, Central Garden, and Bellring Brands. Barista Coffee Company, Inc., doing business as Baristas, operates as a specialty drive-through beverage retailer in the... More
Baristas Coffee 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 Baristas Coffee's pink sheet 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 Baristas Coffee upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 30.53 | |||
| Information Ratio | 0.1234 | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (25.00) | |||
| Potential Upside | 50.0 |
Baristas Coffee Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Baristas Coffee's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Baristas Coffee's standard deviation. In reality, there are many statistical measures that can use Baristas Coffee historical prices to predict the future Baristas Coffee's volatility.| Risk Adjusted Performance | 0.083 | |||
| Jensen Alpha | 2.99 | |||
| Total Risk Alpha | 2.04 | |||
| Sortino Ratio | 0.1006 | |||
| Treynor Ratio | 0.7536 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Baristas Coffee'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.
Baristas Coffee Backtested Returns
Baristas Coffee is out of control given 3 months investment horizon. Baristas Coffee secures Sharpe Ratio (or Efficiency) of 0.0761, which signifies that the company had a 0.0761% return per unit of risk over the last 3 months. We were able to break down twenty-five different technical indicators, which can help you to evaluate if expected returns of 1.72% are justified by taking the suggested risk. Use Baristas Coffee Downside Deviation of 30.53, risk adjusted performance of 0.083, and Mean Deviation of 13.8 to evaluate company specific risk that cannot be diversified away. Baristas Coffee holds a performance score of 5 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 4.11, which signifies 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, Baristas Coffee will likely underperform. Use Baristas Coffee sortino ratio, semi variance, day typical price, as well as the relationship between the value at risk and kurtosis , to analyze future returns on Baristas Coffee.
Auto-correlation | -0.35 |
Poor reverse predictability
Baristas Coffee has poor reverse predictability. Overlapping area represents the amount of predictability between Baristas Coffee time series from 1st of March 2024 to 15th of April 2024 and 15th of April 2024 to 30th of May 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 Baristas Coffee price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Baristas Coffee price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Baristas Coffee lagged returns against current returns
Autocorrelation, which is Baristas Coffee pink sheet'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 Baristas Coffee's pink sheet expected returns. We can calculate the autocorrelation of Baristas Coffee returns to help us make a trade decision. For example, suppose you find that Baristas Coffee has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Baristas Coffee 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 Baristas Coffee pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Baristas Coffee pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Baristas Coffee pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Baristas Coffee Lagged Returns
When evaluating Baristas Coffee's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Baristas Coffee pink sheet have on its future price. Baristas Coffee 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, Baristas Coffee autocorrelation shows the relationship between Baristas Coffee pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Baristas Coffee.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Baristas Coffee Correlation, Baristas Coffee Volatility and Baristas Coffee Alpha and Beta module to complement your research on Baristas Coffee. Note that the Baristas Coffee information on this page should be used as a complementary analysis to other Baristas Coffee's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for Baristas Pink Sheet analysis
When running Baristas Coffee's price analysis, check to measure Baristas Coffee'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 Baristas Coffee is operating at the current time. Most of Baristas Coffee's value examination focuses on studying past and present price action to predict the probability of Baristas Coffee's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Baristas Coffee's price. Additionally, you may evaluate how the addition of Baristas Coffee to your portfolios can decrease your overall portfolio volatility.
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Baristas Coffee technical pink sheet 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, pink sheet market cycles, or different charting patterns.