Exela Technologies Pink Sheet Forecast - Polynomial Regression

XELADelisted Stock  USD 1.11  0.01  0.89%   
The Polynomial Regression forecasted value of Exela Technologies on the next trading day is expected to be 1.05 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.23. Exela Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Exela Technologies stock prices and determine the direction of Exela Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Exela Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Exela Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Exela Technologies as well as the accuracy indicators are determined from the period prices.

Exela Technologies Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Exela Technologies on the next trading day is expected to be 1.05 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.23.
Please note that although there have been many attempts to predict Exela Pink Sheet 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 Exela Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Exela Technologies Pink Sheet Forecast Pattern

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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 Exela Technologies pink sheet data series using in forecasting. Note that when a statistical model is used to represent Exela Technologies pink sheet, 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 Criteria113.9538
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0858
MAPEMean absolute percentage error0.0493
SAESum of the absolute errors5.2312
A single variable polynomial regression model attempts to put a curve through the Exela Technologies 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 Exela Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Exela Technologies. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
0.050.997.15
Details
Intrinsic
Valuation
LowRealHigh
0.051.057.21
Details

Exela Technologies 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 Exela Technologies pink sheet to make a market-neutral strategy. Peer analysis of Exela Technologies could also be used in its relative valuation, which is a method of valuing Exela Technologies by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Exela Technologies Market Strength Events

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

Exela Technologies Risk Indicators

The analysis of Exela Technologies' 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 Exela Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting exela pink sheet 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.
You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Consideration for investing in Exela Pink Sheet

If you are still planning to invest in Exela Technologies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Exela Technologies' history and understand the potential risks before investing.
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