Box Ships Stock Market Value
TEUCF Stock | USD 0.0001 0.00 0.00% |
Symbol | Box |
Box Ships '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 Box Ships' 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 Box Ships.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Box Ships on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Box Ships or generate 0.0% return on investment in Box Ships over 30 days. Box Ships is related to or competes with Kroger, SCOR PK, Franklin Strategic, Barloworld, Pinnacle Sherman, Morningstar Unconstrained, and High-yield Municipal. Box Ships Inc. provides commercial management services to shipping companies worldwide More
Box Ships 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 Box Ships' 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 Box Ships upside and downside potential and time the market with a certain degree of confidence.
Box Ships Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Box Ships' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Box Ships' standard deviation. In reality, there are many statistical measures that can use Box Ships historical prices to predict the future Box Ships' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Box Ships' 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.
Box Ships Backtested Returns
We have found three technical indicators for Box Ships, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Box Ships are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Box Ships has no correlation between past and present. Overlapping area represents the amount of predictability between Box Ships time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Box Ships price movement. The serial correlation of 0.0 indicates that just 0.0% of current Box Ships price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Box Ships lagged returns against current returns
Autocorrelation, which is Box Ships 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 Box Ships' pink sheet expected returns. We can calculate the autocorrelation of Box Ships returns to help us make a trade decision. For example, suppose you find that Box Ships 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 |
Box Ships 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 Box Ships pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Box Ships pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Box Ships pink sheet over time.
Current vs Lagged Prices |
Timeline |
Box Ships Lagged Returns
When evaluating Box Ships' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Box Ships pink sheet have on its future price. Box Ships 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, Box Ships autocorrelation shows the relationship between Box Ships pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Box Ships.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Box Ships Correlation, Box Ships Volatility and Box Ships Alpha and Beta module to complement your research on Box Ships. Note that the Box Ships information on this page should be used as a complementary analysis to other Box Ships' 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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for Box Pink Sheet analysis
When running Box Ships' price analysis, check to measure Box Ships' 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 Box Ships is operating at the current time. Most of Box Ships' value examination focuses on studying past and present price action to predict the probability of Box Ships' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Box Ships' price. Additionally, you may evaluate how the addition of Box Ships to your portfolios can decrease your overall portfolio volatility.
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Box Ships 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.