New York Mortgage Stock Odds of Future Stock Price Finishing Under 24.79
| NYMTI Stock | 25.30 0.02 0.08% |
New |
New York Target Price Odds to finish below 24.79
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 drop to 24.79 or more in 90 days |
| 25.30 | 90 days | 24.79 | about 7.1 |
Based on a normal probability distribution, the odds of New York to drop to 24.79 or more in 90 days from now is about 7.1 (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 24.79 and its current price of 25.3 at the end of the 90-day period is about 59.72 .
Assuming the 90 days horizon New York has a beta of 0.14. 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 an alpha of 0.0225, implying that it can generate a 0.0225 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York's 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.
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 | 0.02 | |
β | Beta against Dow Jones | 0.14 | |
σ | Overall volatility | 0.27 | |
Ir | Information ratio | -0.16 |
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 has a frail financial position based on the latest SEC disclosures | |
| Latest headline from news.google.com: New York Mortgage Trust raised to Buy at Jones as JV loss overhang ebbs - MSN |
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 has a frail financial position based on the latest SEC disclosures | |
| Latest headline from news.google.com: New York Mortgage Trust raised to Buy at Jones as JV loss overhang ebbs - MSN |
Check out New York Backtesting, New York Valuation, New York Correlation, New York Hype Analysis, New York Volatility, New York History as well as New York Performance. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Is Multi-Family Residential REITs space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of New York. If investors know New will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of New York Mortgage is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because New York's market value can be influenced by many factors that don't directly affect New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.