New York Mortgage Preferred Stock Market Value
| NYMTM Preferred Stock | USD 24.97 0.15 0.60% |
| Symbol | New |
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 preferred 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.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in New York on December 6, 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 New York, AGNC Investment, Chimera Investment, AGNC Investment, and Two Harbors. 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 preferred 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 | 0.3111 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 1.83 | |||
| Value At Risk | (0.59) | |||
| Potential Upside | 0.8883 |
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 | 0.183 | |||
| Jensen Alpha | 0.0826 | |||
| Total Risk Alpha | 0.0263 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 2.28 |
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
As of now, New Preferred Stock is very steady. New York Mortgage has Sharpe Ratio of 0.25, which conveys that the firm had a 0.25% 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 Mean Deviation of 0.2839, coefficient of variation of 397.72, and Risk Adjusted Performance of 0.183 to check out if the risk estimate we provide is consistent with the expected return of 0.0969%. New York has a performance score of 19 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0382, 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 0.39%. Please verify New York Mortgage semi variance, as well as the relationship between the daily balance of power and price action indicator , to decide if New York Mortgage will be following its current price movements.
Auto-correlation | 0.66 |
Good predictability
New York Mortgage has good predictability. Overlapping area represents the amount of predictability between New York time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 0.66 indicates that around 66.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 1.22 |
New York Mortgage lagged returns against current returns
Autocorrelation, which is New York preferred 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 preferred 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 preferred 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 preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York preferred 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 preferred 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 preferred 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 preferred 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 |
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New York financial ratios help investors to determine whether New Preferred Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in New with respect to the benefits of owning New York security.