Pear Tree Mutual Fund Forecast - Polynomial Regression

QFFOXDelisted Fund  USD 20.04  0.00  0.00%   
The Polynomial Regression forecasted value of Pear Tree Panagora on the next trading day is expected to be 20.08 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.46. Pear Mutual Fund Forecast is based on your current time horizon.
  
Pear Tree polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Pear Tree Panagora as well as the accuracy indicators are determined from the period prices.

Pear Tree Polynomial Regression Price Forecast For the 11th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Pear Tree Panagora on the next trading day is expected to be 20.08 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.46.
Please note that although there have been many attempts to predict Pear Mutual Fund 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 Pear Tree's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pear Tree Mutual Fund Forecast Pattern

Backtest Pear TreePear Tree Price PredictionBuy or Sell Advice 

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 Pear Tree mutual fund data series using in forecasting. Note that when a statistical model is used to represent Pear Tree mutual fund, 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 Criteria115.2029
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1714
MAPEMean absolute percentage error0.0087
SAESum of the absolute errors10.4551
A single variable polynomial regression model attempts to put a curve through the Pear Tree 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 Pear Tree

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pear Tree Panagora. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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
20.0420.0420.04
Details
Intrinsic
Valuation
LowRealHigh
18.4418.4422.04
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.2119.8120.41
Details

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

Pear Tree Market Strength Events

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

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 Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in persons.
You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

Other Consideration for investing in Pear Mutual Fund

If you are still planning to invest in Pear Tree Panagora 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 Pear Tree's history and understand the potential risks before investing.
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