New Net Income Per E B T vs Net Income Per Share Analysis
| NYMT Stock | USD 5.95 0.08 1.36% |
New York financial indicator trend analysis is infinitely more than just investigating New York Mortgage recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether New York Mortgage is a good investment. Please check the relationship between New York Net Income Per E B T and its Net Income Per Share accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Mortgage. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
Net Income Per E B T vs Net Income Per Share
Net Income Per E B T vs Net Income Per Share Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of New York Mortgage Net Income Per E B T account and Net Income Per Share. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between New York's Net Income Per E B T and Net Income Per Share is 0.59. Overlapping area represents the amount of variation of Net Income Per E B T that can explain the historical movement of Net Income Per Share in the same time period over historical financial statements of New York Mortgage, assuming nothing else is changed. The correlation between historical values of New York's Net Income Per E B T and Net Income Per Share is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Income Per E B T of New York Mortgage are associated (or correlated) with its Net Income Per Share. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Income Per Share has no effect on the direction of Net Income Per E B T i.e., New York's Net Income Per E B T and Net Income Per Share go up and down completely randomly.
Correlation Coefficient | 0.59 |
| Relationship Direction | Positive |
| Relationship Strength | Weak |
Net Income Per E B T
Net Income Per Share
Most indicators from New York's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into New York Mortgage current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Mortgage. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. At this time, New York's Tax Provision is comparatively stable compared to the past year. Enterprise Value Over EBITDA is likely to gain to 29.11 in 2024, whereas Issuance Of Capital Stock is likely to drop 0.00 in 2024.
| 2021 | 2022 | 2023 | 2024 (projected) | Interest Income | 206.9M | 258.4M | 242.8M | 289.4M | Net Interest Income | 123.6M | 129.0M | 72.0M | 107.4M |
New York fundamental ratios Correlations
Click cells to compare fundamentals
New York Account Relationship Matchups
High Positive Relationship
High Negative Relationship
New York fundamental ratios Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Total Assets | 23.5B | 4.7B | 5.6B | 6.2B | 7.4B | 5.9B | |
| Total Stockholder Equity | 2.2B | 2.3B | 2.3B | 1.8B | 1.6B | 1.7B | |
| Net Debt | 17.9B | 1.5B | 2.2B | 2.4B | 4.9B | 4.3B | |
| Cash | 118.8M | 293.2M | 289.6M | 244.7M | 330.6M | 347.2M | |
| Other Assets | 18.8B | 2.7B | 4.7B | 5.5B | 2.6B | 2.1B | |
| Cash And Short Term Investments | 2.1B | 1.0B | 490.4M | 409.9M | 330.6M | 570.7M | |
| Common Stock Shares Outstanding | 60.6M | 92.8M | 95.2M | 94.3M | 91.0M | 95.6M | |
| Liabilities And Stockholders Equity | 23.5B | 4.7B | 5.6B | 6.2B | 7.4B | 5.9B | |
| Other Stockholder Equity | 1.8B | 2.3B | 2.4B | 2.3B | 2.3B | 2.4B | |
| Total Liab | 18.0B | 1.8B | 2.5B | 4.4B | 5.8B | 4.9B | |
| Total Current Assets | 2.3B | 1.0B | 490.4M | 409.9M | 2.2B | 2.3B | |
| Short Long Term Debt Total | 18.0B | 1.8B | 2.5B | 2.6B | 5.3B | 4.7B | |
| Other Liab | 5K | 138.5M | 144.5M | 20.9M | 24.0M | 37.1M | |
| Property Plant And Equipment Net | 9.3M | 10.1M | 9.0M | 7.8M | 6.6M | 3.7M | |
| Retained Earnings | (148.9M) | (551.3M) | (559.3M) | (1.1B) | (1.3B) | (1.2B) | |
| Accounts Payable | 101.2M | 177.3M | 9.1M | 10.6M | 23.7M | 22.5M | |
| Non Current Assets Total | 2.4B | 983.8M | 440.5M | 287.1M | 2.6B | 2.5B | |
| Non Currrent Assets Other | (10.7M) | (22.8M) | (440.5M) | (287.1M) | (2.2B) | (2.1B) | |
| Long Term Debt | 18.0B | 1.8B | 2.5B | 2.6B | 2.8B | 4.2B | |
| Net Receivables | 169.2M | 3.2B | 84.0M | 74.8M | 83.2M | 79.0M | |
| Short Term Investments | 2.0B | 724.7M | 200.8M | 99.6M | 2.0B | 1.9B | |
| Non Current Liabilities Total | 18.0B | 1.8B | 2.5B | 1.2B | 3.3B | 4.5B | |
| Inventory | (15.9M) | 1.0 | 337.9M | 380.9M | (6.5M) | (6.2M) | |
| Other Current Liab | (3.0B) | (405.5M) | (567.3M) | (17.8M) | (2.5B) | (2.4B) | |
| Total Current Liabilities | 8.8M | 405.5M | 9.1M | 97.4M | 2.5B | 2.6B | |
| Common Stock Total Equity | 2.9M | 3.8M | 3.8M | 3.6M | 4.2M | 4.4M | |
| Other Current Assets | (162.8M) | (304.5M) | (421.8M) | (455.7M) | (413.8M) | (434.5M) | |
| Accumulated Other Comprehensive Income | 25.1M | 994K | 1.8M | (2.0M) | (4K) | (3.8K) | |
| Common Stock | 2.9M | 3.8M | 3.8M | 3.6M | 907K | 1.3M | |
| Short Term Debt | 3.0B | 405.5M | 554.3M | 97.4M | 2.5B | 2.6B | |
| Noncontrolling Interest In Consolidated Entity | (704K) | 6.4M | 24.4M | 33.1M | 38.1M | 40.0M | |
| Retained Earnings Total Equity | (148.9M) | (551.3M) | (559.3M) | (1.1B) | (947.5M) | (900.1M) | |
| Net Tangible Assets | 1.7B | 1.8B | 1.8B | 1.3B | 1.5B | 1.1B | |
| Long Term Debt Total | 18.0B | 1.8B | 2.5B | 2.6B | 2.4B | 2.3B |
Pair Trading with New York
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if New York position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in New York will appreciate offsetting losses from the drop in the long position's value.Moving against New Stock
| 0.82 | TW | Tradeweb Markets | PairCorr |
| 0.81 | GS | Goldman Sachs Group Financial Report 17th of July 2024 | PairCorr |
| 0.78 | RM | Regional Management Corp | PairCorr |
| 0.73 | BN | Brookfield Corp | PairCorr |
| 0.73 | MS | Morgan Stanley Financial Report 16th of July 2024 | PairCorr |
The ability to find closely correlated positions to New York could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace New York when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back New York - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling New York Mortgage to buy it.
The correlation of New York is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if New York Mortgage moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for New York can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Mortgage. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for New 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.
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Is New York's industry 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.
Quarterly Earnings Growth (0.65) | Dividend Share 1 | Earnings Share (1.86) | Revenue Per Share 1.846 | Quarterly Revenue Growth (0.59) |
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.