New York Mortgage Stock Market Value
| ADAM Stock | 8.22 0.07 0.84% |
| Symbol | New |
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.
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.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in New York on October 29, 2025 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 90 days. New York is related to or competes with TPG RE, AG Mortgage, Invesco Mortgage, Ready Capital, KKR Real, Sachem Capital, and Chimera Investment. Adama Agricultural Solutions Ltd., together with its subsidiaries, develops, manufactures, and distributes cropprotection solutions for farmers worldwide. 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.
| Downside Deviation | 1.79 | |||
| Information Ratio | 0.1422 | |||
| Maximum Drawdown | 9.42 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 3.31 |
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 | 0.1436 | |||
| Jensen Alpha | 0.3105 | |||
| Total Risk Alpha | 0.152 | |||
| Sortino Ratio | 0.1414 | |||
| Treynor Ratio | 1.66 |
New York January 27, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.1436 | |||
| Market Risk Adjusted Performance | 1.67 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.54 | |||
| Downside Deviation | 1.79 | |||
| Coefficient Of Variation | 532.99 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.17 | |||
| Information Ratio | 0.1422 | |||
| Jensen Alpha | 0.3105 | |||
| Total Risk Alpha | 0.152 | |||
| Sortino Ratio | 0.1414 | |||
| Treynor Ratio | 1.66 | |||
| Maximum Drawdown | 9.42 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 3.31 | |||
| Downside Variance | 3.21 | |||
| Semi Variance | 2.37 | |||
| Expected Short fall | (1.54) | |||
| Skewness | (0.49) | |||
| Kurtosis | 1.59 |
New York Mortgage Backtested Returns
New York appears to be not too volatile, given 3 months investment horizon. New York Mortgage has Sharpe Ratio of 0.19, which conveys that the firm had a 0.19 % return per unit of risk over the last 3 months. We have found thirty technical indicators for New York, which you can use to evaluate the volatility of the firm. Please exercise New York's Mean Deviation of 1.33, downside deviation of 1.79, and Risk Adjusted Performance of 0.1436 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, New York holds a performance score of 15. The company secures a Beta (Market Risk) of 0.2, which conveys not very significant fluctuations relative to the market. 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. Please check New York's skewness, day typical price, and the relationship between the downside variance and daily balance of power , to make a quick decision on whether New York's current price movements will revert.
Auto-correlation | 0.84 |
Very good predictability
New York Mortgage has very good predictability. Overlapping area represents the amount of predictability between New York time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. 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 0.84 indicates that around 84.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
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New York technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.