American Assets Stock Forecast - Polynomial Regression

AAT Stock  USD 21.28  0.29  1.38%   
The Polynomial Regression forecasted value of American Assets Trust on the next trading day is expected to be 20.53 with a mean absolute deviation of  0.29  and the sum of the absolute errors of 17.43. American Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast American Assets stock prices and determine the direction of American Assets Trust's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of American Assets' historical fundamentals, such as revenue growth or operating cash flow patterns. Although American Assets' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of American Assets' systematic risk associated with finding meaningful patterns of American Assets fundamentals over time.
Check out Historical Fundamental Analysis of American Assets to cross-verify your projections.
  
Payables Turnover is likely to gain to 2.74 in 2024, whereas Inventory Turnover is likely to drop (14.43) in 2024. . Common Stock Shares Outstanding is likely to drop to about 67 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 27.6 M in 2024.

Open Interest Against 2024-05-17 American Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast American Assets' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in American Assets' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for American Assets stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current American Assets' open interest, investors have to compare it to American Assets' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of American Assets is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in American. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in American Assets cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the American Assets' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets American Assets' price structures and extracts relationships that further increase the generated results' accuracy.
American Assets polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for American Assets Trust as well as the accuracy indicators are determined from the period prices.

American Assets Polynomial Regression Price Forecast For the 24th of April

Given 90 days horizon, the Polynomial Regression forecasted value of American Assets Trust on the next trading day is expected to be 20.53 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.13, and the sum of the absolute errors of 17.43.
Please note that although there have been many attempts to predict American 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 American Assets' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

American Assets Stock Forecast Pattern

Backtest American AssetsAmerican Assets Price PredictionBuy or Sell Advice 

American Assets Forecasted Value

In the context of forecasting American Assets' 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. American Assets' downside and upside margins for the forecasting period are 18.71 and 22.35, respectively. We have considered American Assets' 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
21.28
20.53
Expected Value
22.35
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of American Assets stock data series using in forecasting. Note that when a statistical model is used to represent American Assets 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 Criteria116.0372
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2858
MAPEMean absolute percentage error0.0133
SAESum of the absolute errors17.4342
A single variable polynomial regression model attempts to put a curve through the American Assets historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for American Assets

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as American Assets Trust. 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 American Assets' 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
19.4721.2923.11
Details
Intrinsic
Valuation
LowRealHigh
19.9721.7923.62
Details
4 Analysts
Consensus
LowTargetHigh
20.0222.0024.42
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.140.260.14
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as American Assets. Your research has to be compared to or analyzed against American Assets' peers to derive any actionable benefits. When done correctly, American Assets' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in American Assets Trust.

Other Forecasting Options for American Assets

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

View American Assets Related Equities

 Risk & Return  Correlation

American Assets Trust 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 American Assets' 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 American Assets' current price.

American Assets Market Strength Events

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

American Assets Risk Indicators

The analysis of American Assets' 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 American Assets' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting american 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.

American Assets Investors Sentiment

The influence of American Assets' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in American. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to American Assets' public news can be used to forecast risks associated with an investment in American. The trend in average sentiment can be used to explain how an investor holding American can time the market purely based on public headlines and social activities around American Assets Trust. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
American Assets' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for American Assets' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average American Assets' news discussions. The higher the estimated score, the more favorable is the investor's outlook on American Assets.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards American Assets in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, American Assets' short interest history, or implied volatility extrapolated from American Assets options trading.

Pair Trading with American Assets

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 American Assets 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 American Assets will appreciate offsetting losses from the drop in the long position's value.

Moving together with American Stock

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Moving against American Stock

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  0.54AHT-PG Ashford Hospitality TrustPairCorr
The ability to find closely correlated positions to American Assets could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace American Assets 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 American Assets - 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 American Assets Trust to buy it.
The correlation of American Assets 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 American Assets moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if American Assets Trust 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 American Assets 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.
Pair CorrelationCorrelation Matching
When determining whether American Assets Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if American Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about American Assets Trust Stock. Highlighted below are key reports to facilitate an investment decision about American Assets Trust Stock:
Check out Historical Fundamental Analysis of American Assets to cross-verify your projections.
Note that the American Assets Trust information on this page should be used as a complementary analysis to other American Assets' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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When running American Assets' price analysis, check to measure American Assets' 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 American Assets is operating at the current time. Most of American Assets' value examination focuses on studying past and present price action to predict the probability of American Assets' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Assets' price. Additionally, you may evaluate how the addition of American Assets to your portfolios can decrease your overall portfolio volatility.
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Is American Assets' 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 American Assets. If investors know American 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 American Assets 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
0.086
Dividend Share
1.32
Earnings Share
0.84
Revenue Per Share
7.26
Quarterly Revenue Growth
0.061
The market value of American Assets Trust is measured differently than its book value, which is the value of American that is recorded on the company's balance sheet. Investors also form their own opinion of American Assets' value that differs from its market value or its book value, called intrinsic value, which is American Assets' 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 American Assets' market value can be influenced by many factors that don't directly affect American Assets' 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 American Assets' value and its price as these two are different measures arrived at by different means. Investors typically determine if American Assets is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, American Assets' 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.