FIRST SHIP (Germany) Market Value
LJ9 Stock | EUR 0.02 0.0007 4.55% |
Symbol | FIRST |
FIRST SHIP '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 FIRST SHIP'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 FIRST SHIP.
05/25/2025 |
| 08/23/2025 |
If you would invest 0.00 in FIRST SHIP on May 25, 2025 and sell it all today you would earn a total of 0.00 from holding FIRST SHIP LEASE or generate 0.0% return on investment in FIRST SHIP over 90 days. FIRST SHIP is related to or competes with GBS Software, Easy Software, CHINA EDUCATION, CyberArk Software, Unity Software, STRAYER EDUCATION, and COGNYTE SOFTWARE. First Ship Lease Trust, a business trust, owns a fleet of vessels in various shipping sub-sectors in the Americas, Asia,... More
FIRST SHIP 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 FIRST SHIP'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 FIRST SHIP LEASE upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 16.67 | |||
Value At Risk | (4.62) | |||
Potential Upside | 5.14 |
FIRST SHIP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FIRST SHIP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FIRST SHIP's standard deviation. In reality, there are many statistical measures that can use FIRST SHIP historical prices to predict the future FIRST SHIP's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.48) | |||
Treynor Ratio | (0.14) |
FIRST SHIP LEASE Backtested Returns
FIRST SHIP LEASE secures Sharpe Ratio (or Efficiency) of -0.0231, which denotes the company had a -0.0231 % return per unit of volatility over the last 3 months. FIRST SHIP LEASE exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FIRST SHIP's Standard Deviation of 3.11, market risk adjusted performance of (0.13), and Mean Deviation of 1.83 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.6, which means possible diversification benefits within a given portfolio. As returns on the market increase, FIRST SHIP's returns are expected to increase less than the market. However, during the bear market, the loss of holding FIRST SHIP is expected to be smaller as well. At this point, FIRST SHIP LEASE has a negative expected return of -0.0719%. Please make sure to confirm FIRST SHIP's potential upside, kurtosis, and the relationship between the maximum drawdown and skewness , to decide if FIRST SHIP LEASE performance from the past will be repeated at future time.
Auto-correlation | -0.02 |
Very weak reverse predictability
FIRST SHIP LEASE has very weak reverse predictability. Overlapping area represents the amount of predictability between FIRST SHIP time series from 25th of May 2025 to 9th of July 2025 and 9th of July 2025 to 23rd 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 FIRST SHIP LEASE price movement. The serial correlation of -0.02 indicates that only 2.0% of current FIRST SHIP price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.02 | |
Spearman Rank Test | 0.1 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
FIRST SHIP LEASE lagged returns against current returns
Autocorrelation, which is FIRST SHIP 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 FIRST SHIP's stock expected returns. We can calculate the autocorrelation of FIRST SHIP returns to help us make a trade decision. For example, suppose you find that FIRST SHIP 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 |
FIRST SHIP 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 FIRST SHIP stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FIRST SHIP stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FIRST SHIP stock over time.
Current vs Lagged Prices |
Timeline |
FIRST SHIP Lagged Returns
When evaluating FIRST SHIP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FIRST SHIP stock have on its future price. FIRST SHIP 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, FIRST SHIP autocorrelation shows the relationship between FIRST SHIP stock current value and its past values and can show if there is a momentum factor associated with investing in FIRST SHIP LEASE.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in FIRST Stock
FIRST SHIP financial ratios help investors to determine whether FIRST 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 FIRST with respect to the benefits of owning FIRST SHIP security.