New York Mortgage Preferred Stock Statistic Functions Beta
| NYMTZ Preferred Stock | USD 19.03 0.37 1.91% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on New York Mortgage correlated with the market. If Beta is less than 0 New York generally moves in the opposite direction as compared to the market. If New York Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one New York Mortgage is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of New York is generally in the same direction as the market. If Beta > 1 New York moves generally in the same direction as, but more than the movement of the benchmark.
New York Technical Analysis Modules
Most technical analysis of New York help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for New from various momentum indicators to cycle indicators. When you analyze New charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About New York Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of New York Mortgage. We use our internally-developed statistical techniques to arrive at the intrinsic value of New York Mortgage based on widely used predictive technical indicators. In general, we focus on analyzing New Preferred Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build New York's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of New York's intrinsic value. In addition to deriving basic predictive indicators for New York, we also check how macroeconomic factors affect New York price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.
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Additional Tools for New Preferred 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.