Boom Logistics (Australia) Market Value
| BOL Stock | 1.38 0.01 0.72% |
| Symbol | Boom |
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' 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.
| 12/30/2022 |
| 12/19/2024 |
If you would invest 0.00 in Boom Logistics on December 30, 2022 and sell it all today you would earn a total of 0.00 from holding Boom Logistics or generate 0.0% return on investment in Boom Logistics over 720 days. Boom Logistics is related to or competes with WA1 Resources, and Zip Co. 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' 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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 7.14 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 2.14 |
Boom Logistics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Boom Logistics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Boom Logistics' standard deviation. In reality, there are many statistical measures that can use Boom Logistics historical prices to predict the future Boom Logistics' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | 0.7459 |
Boom Logistics Backtested Returns
Boom Logistics secures Sharpe Ratio (or Efficiency) of -0.0308, which signifies that the company had a -0.0308% return per unit of risk over the last 3 months. Boom Logistics exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Boom Logistics' Mean Deviation of 0.8598, standard deviation of 1.45, and Risk Adjusted Performance of (0.03) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.1, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Boom Logistics are expected to decrease at a much lower rate. During the bear market, Boom Logistics is likely to outperform the market. At this point, Boom Logistics has a negative expected return of -0.045%. Please make sure to confirm Boom Logistics' treynor ratio, potential upside, and the relationship between the total risk alpha and maximum drawdown , to decide if Boom Logistics performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.7 |
Very good reverse predictability
Boom Logistics has very good reverse predictability. Overlapping area represents the amount of predictability between Boom Logistics time series from 30th of December 2022 to 25th of December 2023 and 25th of December 2023 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 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 | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Boom Logistics 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' 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' 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.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Boom Stock Analysis
When running Boom Logistics' price analysis, check to measure Boom Logistics' 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 Boom Logistics is operating at the current time. Most of Boom Logistics' value examination focuses on studying past and present price action to predict the probability of Boom Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Boom Logistics' price. Additionally, you may evaluate how the addition of Boom Logistics to your portfolios can decrease your overall portfolio volatility.