New York Mortgage Preferred Stock Market Value
| NYMTZ Preferred Stock | USD 19.85 0.05 0.25% |
| 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in New York on November 1, 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 New York, New York, New York, PennyMac Mortgage, and ARMOUR Residential. 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 | 0.8234 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 4.88 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.63 |
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 | 0.0899 | |||
| Jensen Alpha | 0.1153 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.57) |
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
At this stage we consider New Preferred Stock to be very steady. New York Mortgage has Sharpe Ratio of 0.0982, which conveys that the firm had a 0.0982% 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 0.0899, mean deviation of 0.6408, and Downside Deviation of 0.8234 to check out if the risk estimate we provide is consistent with the expected return of 0.089%. New York has a performance score of 7 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.17, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning New York are expected to decrease at a much lower rate. During the bear market, New York is likely to outperform the market. New York Mortgage right now secures a risk of 0.91%. Please verify New York Mortgage value at risk, kurtosis, market facilitation index, as well as the relationship between the semi variance and rate of daily change , to decide if New York Mortgage will be following its current price movements.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
New York Mortgage has almost perfect reverse predictability. Overlapping area represents the amount of predictability between New York time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 -0.74 indicates that around 74.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for New Preferred 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.