Mingzhu Logistics Holdings Stock Probability of Future Stock Price Finishing Over 1.11
YGMZ Stock | USD 1.08 0.03 2.70% |
Mingzhu |
Mingzhu Logistics Target Price Odds to finish over 1.11
The tendency of Mingzhu Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current Price | Horizon | Target Price | Odds to move over $ 1.11 or more in 90 days |
1.08 | 90 days | 1.11 | about 80.43 |
Based on a normal probability distribution, the odds of Mingzhu Logistics to move over $ 1.11 or more in 90 days from now is about 80.43 (This Mingzhu Logistics Holdings probability density function shows the probability of Mingzhu Stock to fall within a particular range of prices over 90 days) . Probability of Mingzhu Logistics price to stay between its current price of $ 1.08 and $ 1.11 at the end of the 90-day period is about 5.37 .
Given the investment horizon of 90 days Mingzhu Logistics Holdings has a beta of -0.7. This entails as returns on the benchmark increase, returns on holding Mingzhu Logistics are expected to decrease at a much lower rate. During a bear market, however, Mingzhu Logistics Holdings is likely to outperform the market. Additionally Mingzhu Logistics Holdings has an alpha of 0.2641, implying that it can generate a 0.26 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Mingzhu Logistics Price Density |
Price |
Predictive Modules for Mingzhu Logistics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mingzhu Logistics. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Mingzhu Logistics Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Mingzhu Logistics is not an exception. The market had few large corrections towards the Mingzhu Logistics' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Mingzhu Logistics Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Mingzhu Logistics within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.26 | |
β | Beta against Dow Jones | -0.7 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | 0.01 |
Mingzhu Logistics Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Mingzhu Logistics for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Mingzhu Logistics can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Mingzhu Logistics had very high historical volatility over the last 90 days | |
Mingzhu Logistics has some characteristics of a very speculative penny stock | |
Mingzhu Logistics Holdings currently holds about 5.75 M in cash with (10.08 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.25. | |
Roughly 28.0% of the company outstanding shares are owned by insiders | |
Latest headline from news.google.com: MingZhu Logistics Holdings Limited Quarterly 10-Q Report - Quartzy |
Mingzhu Logistics Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Mingzhu Stock often depends not only on the future outlook of the current and potential Mingzhu Logistics' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Mingzhu Logistics' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 3.2 M | |
Cash And Short Term Investments | 3.7 M |
Mingzhu Logistics Technical Analysis
Mingzhu Logistics' future price can be derived by breaking down and analyzing its technical indicators over time. Mingzhu Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Mingzhu Logistics Holdings. In general, you should focus on analyzing Mingzhu Stock price patterns and their correlations with different microeconomic environments and drivers.
Mingzhu Logistics Predictive Forecast Models
Mingzhu Logistics' time-series forecasting models is one of many Mingzhu Logistics' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Mingzhu Logistics' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Mingzhu Logistics
Checking the ongoing alerts about Mingzhu Logistics for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Mingzhu Logistics help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Mingzhu Logistics had very high historical volatility over the last 90 days | |
Mingzhu Logistics has some characteristics of a very speculative penny stock | |
Mingzhu Logistics Holdings currently holds about 5.75 M in cash with (10.08 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.25. | |
Roughly 28.0% of the company outstanding shares are owned by insiders | |
Latest headline from news.google.com: MingZhu Logistics Holdings Limited Quarterly 10-Q Report - Quartzy |
Additional Tools for Mingzhu Stock Analysis
When running Mingzhu Logistics' price analysis, check to measure Mingzhu 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 Mingzhu Logistics is operating at the current time. Most of Mingzhu Logistics' value examination focuses on studying past and present price action to predict the probability of Mingzhu Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mingzhu Logistics' price. Additionally, you may evaluate how the addition of Mingzhu Logistics to your portfolios can decrease your overall portfolio volatility.