AG Mortgage Stock Forecast - Simple Moving Average

MITT Stock  USD 6.95  0.03  0.43%   
The Simple Moving Average forecasted value of AG Mortgage Investment on the next trading day is expected to be 6.95 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.42. MITT Stock Forecast is based on your current time horizon.
  
At this time, AG Mortgage's Receivables Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 0.58 in 2024, whereas Inventory Turnover is likely to drop (17.14) in 2024. . Common Stock Shares Outstanding is likely to drop to about 12.4 M in 2024. Net Loss is likely to gain to about (61.1 M) in 2024.
A two period moving average forecast for AG Mortgage is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

AG Mortgage Simple Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Moving Average forecasted value of AG Mortgage Investment on the next trading day is expected to be 6.95 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.42.
Please note that although there have been many attempts to predict MITT Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that AG Mortgage's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AG Mortgage Stock Forecast Pattern

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AG Mortgage Forecasted Value

In the context of forecasting AG Mortgage's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. AG Mortgage's downside and upside margins for the forecasting period are 5.75 and 8.15, respectively. We have considered AG Mortgage's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
6.95
6.95
Expected Value
8.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of AG Mortgage stock data series using in forecasting. Note that when a statistical model is used to represent AG Mortgage stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria109.7978
BiasArithmetic mean of the errors 0.0172
MADMean absolute deviation0.0748
MAPEMean absolute percentage error0.0105
SAESum of the absolute errors4.415
The simple moving average model is conceptually a linear regression of the current value of AG Mortgage Investment price series against current and previous (unobserved) value of AG Mortgage. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for AG Mortgage

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AG Mortgage Investment. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
5.726.928.12
Details
Intrinsic
Valuation
LowRealHigh
5.396.597.79
Details
7 Analysts
Consensus
LowTargetHigh
6.607.258.05
Details

Other Forecasting Options for AG Mortgage

For every potential investor in MITT, whether a beginner or expert, AG Mortgage's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MITT Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MITT. Basic forecasting techniques help filter out the noise by identifying AG Mortgage's price trends.

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 Risk & Return  Correlation

AG Mortgage Investment Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of AG Mortgage's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of AG Mortgage's current price.

AG Mortgage Market Strength Events

Market strength indicators help investors to evaluate how AG Mortgage stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AG Mortgage shares will generate the highest return on investment. By undertsting and applying AG Mortgage stock market strength indicators, traders can identify AG Mortgage Investment entry and exit signals to maximize returns.

AG Mortgage Risk Indicators

The analysis of AG Mortgage's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in AG Mortgage's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mitt stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for MITT 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.