BOOM LOGISTICS (Germany) Market Value
| GJY Stock | EUR 0.81 0.01 1.22% |
| Symbol | BOOM |
Please note, there is a significant difference between BOOM LOGISTICS's value and its price as these two are different measures arrived at by different means. Investors typically determine if BOOM LOGISTICS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BOOM LOGISTICS'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.
BOOM LOGISTICS '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 BOOM LOGISTICS'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 BOOM LOGISTICS.
| 11/19/2024 |
| 12/19/2024 |
If you would invest 0.00 in BOOM LOGISTICS on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding BOOM LOGISTICS LTD or generate 0.0% return on investment in BOOM LOGISTICS over 30 days. BOOM LOGISTICS is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. More
BOOM LOGISTICS 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 BOOM LOGISTICS'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 BOOM LOGISTICS LTD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.59 | |||
| Information Ratio | 0.0559 | |||
| Maximum Drawdown | 79.49 | |||
| Value At Risk | (13.92) | |||
| Potential Upside | 17.65 |
BOOM LOGISTICS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BOOM LOGISTICS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BOOM LOGISTICS's standard deviation. In reality, there are many statistical measures that can use BOOM LOGISTICS historical prices to predict the future BOOM LOGISTICS's volatility.| Risk Adjusted Performance | 0.0561 | |||
| Jensen Alpha | 0.4943 | |||
| Total Risk Alpha | 0.3157 | |||
| Sortino Ratio | 0.0449 | |||
| Treynor Ratio | 0.2263 |
BOOM LOGISTICS LTD Backtested Returns
BOOM LOGISTICS LTD secures Sharpe Ratio (or Efficiency) of -0.0118, which signifies that the company had a -0.0118% return per unit of risk over the last 3 months. BOOM LOGISTICS LTD exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BOOM LOGISTICS's risk adjusted performance of 0.0561, and Mean Deviation of 4.34 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.39, 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, BOOM LOGISTICS will likely underperform. At this point, BOOM LOGISTICS LTD has a negative expected return of -0.0909%. Please make sure to confirm BOOM LOGISTICS's total risk alpha, value at risk, expected short fall, as well as the relationship between the treynor ratio and downside variance , to decide if BOOM LOGISTICS LTD performance from the past will be repeated in the future.
Auto-correlation | 0.70 |
Good predictability
BOOM LOGISTICS LTD has good predictability. Overlapping area represents the amount of predictability between BOOM LOGISTICS time series from 19th of November 2024 to 4th of December 2024 and 4th of December 2024 to 19th 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 BOOM LOGISTICS LTD price movement. The serial correlation of 0.7 indicates that around 70.0% of current BOOM LOGISTICS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BOOM LOGISTICS LTD lagged returns against current returns
Autocorrelation, which is BOOM LOGISTICS 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 BOOM LOGISTICS's stock expected returns. We can calculate the autocorrelation of BOOM LOGISTICS returns to help us make a trade decision. For example, suppose you find that BOOM LOGISTICS 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 |
BOOM LOGISTICS 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 BOOM LOGISTICS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BOOM LOGISTICS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BOOM LOGISTICS stock over time.
Current vs Lagged Prices |
| Timeline |
BOOM LOGISTICS Lagged Returns
When evaluating BOOM LOGISTICS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BOOM LOGISTICS stock have on its future price. BOOM LOGISTICS 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, BOOM LOGISTICS autocorrelation shows the relationship between BOOM LOGISTICS stock current value and its past values and can show if there is a momentum factor associated with investing in BOOM LOGISTICS LTD.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in BOOM Stock
BOOM LOGISTICS financial ratios help investors to determine whether BOOM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BOOM with respect to the benefits of owning BOOM LOGISTICS security.