Altisource Portfolio Stock Forecast - Polynomial Regression

ASPS Stock  USD 1.23  0.06  5.13%   
The Polynomial Regression forecasted value of Altisource Portfolio Solutions on the next trading day is expected to be 1.18 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.24. Altisource Stock Forecast is based on your current time horizon.
  
At this time, Altisource Portfolio's Receivables Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 31.64 in 2024, whereas Inventory Turnover is likely to drop 65.97 in 2024. . Common Stock Shares Outstanding is likely to drop to about 16.9 M in 2024. Net Loss is likely to gain to about (45.7 M) in 2024.
Most investors in Altisource Portfolio 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 Altisource Portfolio's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Altisource Portfolio's price structures and extracts relationships that further increase the accuracy of the generated results. Altisource Portfolio polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Altisource Portfolio Solutions as well as the accuracy indicators are determined from the period prices.

Altisource Portfolio Polynomial Regression Price Forecast For the 31st of October

Given 90 days horizon, the Polynomial Regression forecasted value of Altisource Portfolio Solutions on the next trading day is expected to be 1.18 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.24.
Please note that although there have been many attempts to predict Altisource 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 Altisource Portfolio's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Altisource Portfolio Stock Forecast Pattern

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Altisource Portfolio Forecasted Value

In the context of forecasting Altisource Portfolio'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. Altisource Portfolio's downside and upside margins for the forecasting period are 0.01 and 6.86, respectively. We have considered Altisource Portfolio'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
1.23
1.18
Expected Value
6.86
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 Altisource Portfolio stock data series using in forecasting. Note that when a statistical model is used to represent Altisource Portfolio 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 Criteria115.1059
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0684
MAPEMean absolute percentage error0.058
SAESum of the absolute errors4.2384
A single variable polynomial regression model attempts to put a curve through the Altisource Portfolio 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 Altisource Portfolio

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Altisource Portfolio. 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 Altisource Portfolio'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
0.061.236.91
Details
Intrinsic
Valuation
LowRealHigh
0.275.3811.06
Details
2 Analysts
Consensus
LowTargetHigh
16.3818.0019.98
Details

Other Forecasting Options for Altisource Portfolio

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

Altisource Portfolio Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Altisource Portfolio stock to make a market-neutral strategy. Peer analysis of Altisource Portfolio could also be used in its relative valuation, which is a method of valuing Altisource Portfolio by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Altisource Portfolio 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 Altisource Portfolio'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 Altisource Portfolio's current price.

Altisource Portfolio Market Strength Events

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

Altisource Portfolio Risk Indicators

The analysis of Altisource Portfolio'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 Altisource Portfolio's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting altisource 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

Explore Investment Opportunities

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 Altisource Stock Analysis

When running Altisource Portfolio's price analysis, check to measure Altisource Portfolio'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 Altisource Portfolio is operating at the current time. Most of Altisource Portfolio's value examination focuses on studying past and present price action to predict the probability of Altisource Portfolio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Altisource Portfolio's price. Additionally, you may evaluate how the addition of Altisource Portfolio to your portfolios can decrease your overall portfolio volatility.