New York Mortgage Stock Odds of Future Stock Price Finishing Over 11.00
| NYMT Stock | USD 5.98 0.09 1.53% |
New |
New York Target Price Odds to finish over 11.00
The tendency of New 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 $ 11.00 or more in 90 days |
| 5.98 | 90 days | 11.00 | close to zero percent |
Based on a normal probability distribution, the odds of New York to move over $ 11.00 or more in 90 days from now is close to zero percent (This New York Mortgage probability density function shows the probability of New Stock to fall within a particular range of prices over 90 days) . Probability of New York Mortgage price to stay between its current price of $ 5.98 and $ 11.00 at the end of the 90-day period is about 48.98 .
Given the investment horizon of 90 days New York has a beta of 0.72. This indicates as returns on the market go up, New York average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding New York Mortgage will be expected to be much smaller as well. Additionally New York Mortgage has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. New York Price Density |
| Price |
Predictive Modules for New York
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New York Mortgage. 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.New York Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. New York is not an exception. The market had few large corrections towards the New York's 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 New York Mortgage, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of New York within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.16 | |
β | Beta against Dow Jones | 0.72 | |
σ | Overall volatility | 0.39 | |
Ir | Information ratio | -0.11 |
New York 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 New York for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for New York Mortgage can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| New York Mortgage generated a negative expected return over the last 90 days | |
| New York Mortgage has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the previous year's revenue of 210 M. Net Loss for the year was (48.66 M) with loss before overhead, payroll, taxes, and interest of (181.69 M). | |
| New York Mortgage has a poor financial position based on the latest SEC disclosures | |
| About 59.0% of the company shares are owned by institutional investors | |
| On 28th of October 2024 New York paid $ 0.2 per share dividend to its current shareholders | |
| Latest headline from seekingalpha.com: New York Mortgage Trust raised to Buy at Jones as JV loss overhang ebbs |
New York 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 New Stock often depends not only on the future outlook of the current and potential New York's 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. New York's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 91 M | |
| Cash And Short Term Investments | 2.2 B |
New York Technical Analysis
New York's future price can be derived by breaking down and analyzing its technical indicators over time. New Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of New York Mortgage. In general, you should focus on analyzing New Stock price patterns and their correlations with different microeconomic environments and drivers.
New York Predictive Forecast Models
New York's time-series forecasting models is one of many New York's 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 New York's 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 New York Mortgage
Checking the ongoing alerts about New York for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for New York Mortgage help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| New York Mortgage generated a negative expected return over the last 90 days | |
| New York Mortgage has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the previous year's revenue of 210 M. Net Loss for the year was (48.66 M) with loss before overhead, payroll, taxes, and interest of (181.69 M). | |
| New York Mortgage has a poor financial position based on the latest SEC disclosures | |
| About 59.0% of the company shares are owned by institutional investors | |
| On 28th of October 2024 New York paid $ 0.2 per share dividend to its current shareholders | |
| Latest headline from seekingalpha.com: New York Mortgage Trust raised to Buy at Jones as JV loss overhang ebbs |
Additional Tools for New Stock Analysis
When running New York's price analysis, check to measure New York's 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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.