New York Mortgage Stock Market Value
| NYMT Stock | USD 5.89 0.09 1.55% |
| Symbol | New |
New York Mortgage Price To Book Ratio
Is Mortgage Real Estate Investment Trusts (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.
Quarterly Earnings Growth (0.65) | Dividend Share 0.8 | Earnings Share (0.34) | Revenue Per Share 2.78 | Quarterly Revenue Growth (0.03) |
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.
New York 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to New York's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of New York.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in New York on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding New York Mortgage or generate 0.0% return on investment in New York over 720 days. New York is related to or competes with Two Harbors, ARMOUR Residential, Annaly Capital, AGNC Investment, Chimera Investment, Orchid Island, and Invesco Mortgage. New York Mortgage Trust, Inc. acquires, invests in, finances, and manages mortgage-related single-family and multi-famil... More
New York Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure New York's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess New York Mortgage upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 7.18 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 2.48 |
New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New York's standard deviation. In reality, there are many statistical measures that can use New York historical prices to predict the future New York's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.14) |
New York Mortgage Backtested Returns
New York Mortgage has Sharpe Ratio of -0.0805, which conveys that the firm had a -0.0805% return per unit of risk over the last 3 months. New York exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify New York's Mean Deviation of 1.36, risk adjusted performance of (0.03), and Standard Deviation of 1.72 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.66, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding New York is expected to be smaller as well. At this point, New York Mortgage has a negative expected return of -0.14%. Please make sure to verify New York's value at risk and rate of daily change , to decide if New York Mortgage performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.58 |
Modest predictability
New York Mortgage has modest predictability. Overlapping area represents the amount of predictability between New York time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of New York Mortgage price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.56 |
New York Mortgage lagged returns against current returns
Autocorrelation, which is New York stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting New York's stock expected returns. We can calculate the autocorrelation of New York returns to help us make a trade decision. For example, suppose you find that New York has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
New York regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If New York stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New York stock over time.
Current vs Lagged Prices |
| Timeline |
New York Lagged Returns
When evaluating New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New York stock have on its future price. New York autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, New York autocorrelation shows the relationship between New York stock current value and its past values and can show if there is a momentum factor associated with investing in New York Mortgage.
Regressed Prices |
| Timeline |
Thematic Opportunities
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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.