Ag Mortgage Investment Stock Market Value
| MITN Stock | 25.36 0.04 0.16% |
| Symbol | MITN |
AG Mortgage Investment Price To Book Ratio
Is Trading 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 AG Mortgage. If investors know MITN 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 AG Mortgage 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 AG Mortgage Investment is measured differently than its book value, which is the value of MITN that is recorded on the company's balance sheet. Investors also form their own opinion of AG Mortgage's value that differs from its market value or its book value, called intrinsic value, which is AG Mortgage'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 AG Mortgage's market value can be influenced by many factors that don't directly affect AG Mortgage'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 AG Mortgage's value and its price as these two are different measures arrived at by different means. Investors typically determine if AG Mortgage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AG Mortgage'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.
AG Mortgage '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 AG Mortgage'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 AG Mortgage.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in AG Mortgage on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding AG Mortgage Investment or generate 0.0% return on investment in AG Mortgage over 30 days. AG Mortgage is related to or competes with Infosys, Uber Technologies, FactSet Research, Cheche Group, and Weibo Corp. AG Mortgage is entity of United States. It is traded as Stock on NYSE exchange. More
AG Mortgage 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 AG Mortgage'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 AG Mortgage Investment upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2812 | |||
| Information Ratio | 0.0687 | |||
| Maximum Drawdown | 1.39 | |||
| Value At Risk | (0.40) | |||
| Potential Upside | 0.5575 |
AG Mortgage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AG Mortgage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AG Mortgage's standard deviation. In reality, there are many statistical measures that can use AG Mortgage historical prices to predict the future AG Mortgage's volatility.| Risk Adjusted Performance | 0.0636 | |||
| Jensen Alpha | 0.0174 | |||
| Total Risk Alpha | 0.0176 | |||
| Sortino Ratio | 0.0641 | |||
| Treynor Ratio | (0.31) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AG Mortgage'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.
AG Mortgage Investment Backtested Returns
As of now, MITN Stock is very steady. AG Mortgage Investment retains Efficiency (Sharpe Ratio) of 0.12, which signifies that the company had a 0.12% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for AG Mortgage, which you can use to evaluate the volatility of the firm. Please confirm AG Mortgage's Coefficient Of Variation of 954.86, standard deviation of 0.2623, and Market Risk Adjusted Performance of (0.30) to double-check if the risk estimate we provide is consistent with the expected return of 0.0324%. AG Mortgage has a performance score of 9 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of -0.056, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AG Mortgage are expected to decrease at a much lower rate. During the bear market, AG Mortgage is likely to outperform the market. AG Mortgage Investment today owns a risk of 0.27%. Please confirm AG Mortgage Investment standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to decide if AG Mortgage Investment will be following its current price history.
Auto-correlation | 0.63 |
Good predictability
AG Mortgage Investment has good predictability. Overlapping area represents the amount of predictability between AG Mortgage time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AG Mortgage Investment price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current AG Mortgage price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
AG Mortgage Investment lagged returns against current returns
Autocorrelation, which is AG Mortgage 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 AG Mortgage's stock expected returns. We can calculate the autocorrelation of AG Mortgage returns to help us make a trade decision. For example, suppose you find that AG Mortgage 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 |
AG Mortgage 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 AG Mortgage stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AG Mortgage stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AG Mortgage stock over time.
Current vs Lagged Prices |
| Timeline |
AG Mortgage Lagged Returns
When evaluating AG Mortgage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AG Mortgage stock have on its future price. AG Mortgage 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, AG Mortgage autocorrelation shows the relationship between AG Mortgage stock current value and its past values and can show if there is a momentum factor associated with investing in AG Mortgage Investment.
Regressed Prices |
| Timeline |
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 together with MITN Stock
Moving against MITN Stock
| 0.83 | O | Realty Income | PairCorr |
| 0.79 | XP | Xp Inc | PairCorr |
| 0.74 | FR | First Industrial Realty | PairCorr |
| 0.71 | WY | Weyerhaeuser Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.7 | AHT-PG | Ashford Hospitality Trust | 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.Check out AG Mortgage Correlation, AG Mortgage Volatility and AG Mortgage Alpha and Beta module to complement your research on AG Mortgage. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
AG Mortgage 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.