Box Ships Stock Alpha and Beta Analysis
| TEUFF Stock | USD 0.0001 0.00 0.00% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Box Ships. It also helps investors analyze the systematic and unsystematic risks associated with investing in Box Ships over a specified time horizon. Remember, high Box Ships' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Box Ships' market risk premium analysis include:
Beta 0.0 | Alpha 0.0 | Risk 127 | Sharpe Ratio 0.13 | Expected Return 16.13 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
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Box Ships Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Box Ships market risk premium is the additional return an investor will receive from holding Box Ships long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Box Ships. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Box Ships' performance over market.| α | 0.00 | β | 0.00 |
Box Ships expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Box Ships' Buy-and-hold return. Our buy-and-hold chart shows how Box Ships performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Box Ships Market Price Analysis
Market price analysis indicators help investors to evaluate how Box Ships pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Box Ships shares will generate the highest return on investment. By understating and applying Box Ships pink sheet market price indicators, traders can identify Box Ships position entry and exit signals to maximize returns.
Box Ships Return and Market Media
The median price of Box Ships for the period between Fri, Jan 19, 2024 and Thu, Apr 18, 2024 is 1.0E-4 with a coefficient of variation of 89.21. The daily time series for the period is distributed with a sample standard deviation of 0.0, arithmetic mean of 0.0, and mean deviation of 0.0. The Stock did not receive any noticable media coverage during the period. Price Growth (%) |
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About Box Ships Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Box or other pink sheets. Alpha measures the amount that position in Box Ships has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Box Ships in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Box Ships' short interest history, or implied volatility extrapolated from Box Ships options trading.
Build Portfolio with Box Ships
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Box Ships Backtesting, Box Ships Valuation, Box Ships Correlation, Box Ships Hype Analysis, Box Ships Volatility, Box Ships History and analyze Box Ships Performance. 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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.