New York Mortgage Stock Market Value
| NYMTI Stock | 25.05 0.25 0.99% |
| Symbol | New |
New York Mortgage Price To Book Ratio
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.
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.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in New York on November 28, 2023 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 360 days. New York is related to or competes with Natural Alternatives, HF Sinclair, Air Lease, AerSale Corp, Mayfair Gold, and Village Super. New York is entity of United States. It is traded as Stock on NASDAQ exchange. 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 | 0.3536 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.6155 |
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 | 0.0616 | |||
| Jensen Alpha | 0.0211 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | 0.2787 |
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 Mortgage Backtested Returns
New York is very steady at the moment. New York Mortgage has Sharpe Ratio of 0.0711, which conveys that the firm had a 0.0711% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for New York, which you can use to evaluate the volatility of the firm. Please verify New York's Downside Deviation of 0.3536, risk adjusted performance of 0.0616, and Mean Deviation of 0.2947 to check out if the risk estimate we provide is consistent with the expected return of 0.0346%. New York has a performance score of 5 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.12, 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. New York Mortgage right now secures a risk of 0.49%. Please verify New York Mortgage downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to decide if New York Mortgage will be following its current price movements.
Auto-correlation | 0.00 |
No correlation between past and present
New York Mortgage has no correlation between past and present. Overlapping area represents the amount of predictability between New York time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 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 0.0 indicates that just 0.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Currently Active Assets on Macroaxis
When determining whether New York Mortgage offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of New York's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of New York Mortgage Stock. Outlined below are crucial reports that will aid in making a well-informed decision on New York Mortgage Stock:Check out New York Correlation, New York Volatility and New York Alpha and Beta module to complement your research on New York. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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.