Callan Jmb Common Stock Market Value
| CJMB Stock | 5.00 0.03 0.60% |
| Symbol | Callan |
Is Air Freight & Logistics 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 Callan JMB. If investors know Callan 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 Callan JMB listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Callan JMB Common is measured differently than its book value, which is the value of Callan that is recorded on the company's balance sheet. Investors also form their own opinion of Callan JMB's value that differs from its market value or its book value, called intrinsic value, which is Callan JMB'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 Callan JMB's market value can be influenced by many factors that don't directly affect Callan JMB'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 Callan JMB's value and its price as these two are different measures arrived at by different means. Investors typically determine if Callan JMB is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Callan JMB'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.
Callan JMB '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 Callan JMB'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 Callan JMB.
| 05/21/2025 |
| 08/19/2025 |
If you would invest 0.00 in Callan JMB on May 21, 2025 and sell it all today you would earn a total of 0.00 from holding Callan JMB Common or generate 0.0% return on investment in Callan JMB over 90 days. Callan JMB is related to or competes with Asure Software, Nasdaq, Proficient Auto, Apogee Enterprises, Datadog, CDW Corp, and Saia. More
Callan JMB 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 Callan JMB'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 Callan JMB Common upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.44 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 23.25 | |||
| Value At Risk | (6.63) | |||
| Potential Upside | 6.22 |
Callan JMB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Callan JMB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Callan JMB's standard deviation. In reality, there are many statistical measures that can use Callan JMB historical prices to predict the future Callan JMB's volatility.| Risk Adjusted Performance | 0.017 | |||
| Jensen Alpha | 0.1038 | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.06) |
Callan JMB Common Backtested Returns
At this point, Callan JMB is unstable. Callan JMB Common secures Sharpe Ratio (or Efficiency) of 0.0121, which signifies that the company had a 0.0121 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Callan JMB Common, which you can use to evaluate the volatility of the firm. Please confirm Callan JMB's Risk Adjusted Performance of 0.017, downside deviation of 4.44, and Mean Deviation of 3.29 to double-check if the risk estimate we provide is consistent with the expected return of 0.0536%. The firm shows a Beta (market volatility) of -0.73, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Callan JMB are expected to decrease at a much lower rate. During the bear market, Callan JMB is likely to outperform the market. Callan JMB Common right now shows a risk of 4.42%. Please confirm Callan JMB Common jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to decide if Callan JMB Common will be following its price patterns.
Auto-correlation | 0.35 |
Below average predictability
Callan JMB Common has below average predictability. Overlapping area represents the amount of predictability between Callan JMB time series from 21st of May 2025 to 5th of July 2025 and 5th of July 2025 to 19th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Callan JMB Common price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Callan JMB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Callan JMB Common lagged returns against current returns
Autocorrelation, which is Callan JMB 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 Callan JMB's stock expected returns. We can calculate the autocorrelation of Callan JMB returns to help us make a trade decision. For example, suppose you find that Callan JMB 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 |
Callan JMB 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 Callan JMB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Callan JMB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Callan JMB stock over time.
Current vs Lagged Prices |
| Timeline |
Callan JMB Lagged Returns
When evaluating Callan JMB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Callan JMB stock have on its future price. Callan JMB 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, Callan JMB autocorrelation shows the relationship between Callan JMB stock current value and its past values and can show if there is a momentum factor associated with investing in Callan JMB Common.
Regressed Prices |
| Timeline |
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Check out Callan JMB Correlation, Callan JMB Volatility and Callan JMB Alpha and Beta module to complement your research on Callan JMB. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Callan JMB 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.