MITP Cash Flow Coverage Ratios from 2010 to 2026
| MITP Stock | 25.41 0.02 0.08% |
Cash Flow Coverage Ratios | First Reported 2010-12-31 | Previous Quarter 0.0121 | Current Value 0.0235 | Quarterly Volatility 0.01196962 |
Check AG Mortgage financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among AG Mortgage's main balance sheet or income statement drivers, such as , as well as many indicators such as Price To Sales Ratio of 1.65, Dividend Yield of 0.0832 or PTB Ratio of 0.8. MITP financial statements analysis is a perfect complement when working with AG Mortgage Valuation or Volatility modules.
MITP | Cash Flow Coverage Ratios | Build AI portfolio with MITP Stock |
Latest AG Mortgage's Cash Flow Coverage Ratios Growth Pattern
Below is the plot of the Cash Flow Coverage Ratios of AG Mortgage Investment over the last few years. It is AG Mortgage's Cash Flow Coverage Ratios historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in AG Mortgage's overall financial position and show how it may be relating to other accounts over time.
| Cash Flow Coverage Ratios | 10 Years Trend |
|
Cash Flow Coverage Ratios |
| Timeline |
MITP Cash Flow Coverage Ratios Regression Statistics
| Arithmetic Mean | 0.03 | |
| Geometric Mean | 0.03 | |
| Coefficient Of Variation | 39.38 | |
| Mean Deviation | 0.01 | |
| Median | 0.04 | |
| Standard Deviation | 0.01 | |
| Sample Variance | 0.0001 | |
| Range | 0.0313 | |
| R-Value | (0.72) | |
| Mean Square Error | 0.000074 | |
| R-Squared | 0.52 | |
| Significance | 0 | |
| Slope | (0) | |
| Total Sum of Squares | 0 |
MITP Cash Flow Coverage Ratios History
About AG Mortgage Financial Statements
AG Mortgage shareholders use historical fundamental indicators, such as Cash Flow Coverage Ratios, to determine how well the company is positioned to perform in the future. Although AG Mortgage investors may analyze each financial statement separately, they are all interrelated. The changes in AG Mortgage's assets and liabilities, for example, are also reflected in the revenues and expenses on on AG Mortgage's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Cash Flow Coverage Ratios | 0.01 | 0.02 |
Pair Trading with AG Mortgage
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 AG Mortgage 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 AG Mortgage will appreciate offsetting losses from the drop in the long position's value.Moving against MITP Stock
| 0.73 | SSNLF | Samsung Electronics | PairCorr |
| 0.69 | SFB | Stifel Financial | PairCorr |
| 0.58 | MGR | Affiliated Managers | PairCorr |
| 0.57 | MGRB | Affiliated Managers | PairCorr |
| 0.55 | CGABL | Carlyle Group | PairCorr |
The ability to find closely correlated positions to AG Mortgage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AG Mortgage 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 AG Mortgage - 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 AG Mortgage Investment to buy it.
The correlation of AG Mortgage 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 AG Mortgage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AG Mortgage Investment 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 AG Mortgage 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.Additional Tools for MITP Stock Analysis
When running AG Mortgage's price analysis, check to measure AG Mortgage'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 AG Mortgage is operating at the current time. Most of AG Mortgage's value examination focuses on studying past and present price action to predict the probability of AG Mortgage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AG Mortgage's price. Additionally, you may evaluate how the addition of AG Mortgage to your portfolios can decrease your overall portfolio volatility.