New York Mortgage Stock Market Value

NYMTI Stock   25.29  0.07  0.28%   
New York's market value is the price at which a share of New York trades on a public exchange. It measures the collective expectations of New York Mortgage investors about its performance. New York is trading at 25.29 as of the 26th of November 2024. This is a 0.28% up since the beginning of the trading day. The stock's open price was 25.22.
With this module, you can estimate the performance of a buy and hold strategy of New York Mortgage and determine expected loss or profit from investing in New York over a given investment horizon. Check out New York Correlation, New York Volatility and New York Alpha and Beta module to complement your research on New York.
Symbol

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.
0.00
10/27/2024
No Change 0.00  0.0 
In 30 days
11/26/2024
0.00
If you would invest  0.00  in New York on October 27, 2024 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 30 days. New York is related to or competes with Mid America, and Nexpoint Residential. 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
24.7225.2125.70
Details
Intrinsic
Valuation
LowRealHigh
24.6825.1725.66
Details
Naive
Forecast
LowNextHigh
24.3724.8625.35
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
25.0725.3225.58
Details

New York Mortgage Backtested Returns

New York is very steady at the moment. New York Mortgage has Sharpe Ratio of 0.1, which conveys that the firm had a 0.1% 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 Risk Adjusted Performance of 0.0633, mean deviation of 0.2959, and Downside Deviation of 0.3536 to check out if the risk estimate we provide is consistent with the expected return of 0.0503%. New York has a performance score of 7 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.14, 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 0.5%. Please verify New York Mortgage downside variance, as well as the relationship between the accumulation distribution and price action indicator , to decide if New York Mortgage will be following its current price movements.

Auto-correlation

    
  -0.58  

Good reverse predictability

New York Mortgage has good reverse predictability. Overlapping area represents the amount of predictability between New York time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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-0.73
Residual Average0.0
Price Variance0.02

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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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.
A focus of New York technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of New York trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...