Renaissance Europe Fund Forecast - Polynomial Regression

0P0001C9BZ   270.45  0.00  0.00%   
The Polynomial Regression forecasted value of Renaissance Europe Z on the next trading day is expected to be 272.17 with a mean absolute deviation of 3.51 and the sum of the absolute errors of 214.06. Investors can use prediction functions to forecast Renaissance Europe's fund prices and determine the direction of Renaissance Europe Z's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
Renaissance Europe polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Renaissance Europe Z as well as the accuracy indicators are determined from the period prices.

Renaissance Europe Polynomial Regression Price Forecast For the 7th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Renaissance Europe Z on the next trading day is expected to be 272.17 with a mean absolute deviation of 3.51, mean absolute percentage error of 16.28, and the sum of the absolute errors of 214.06.
Please note that although there have been many attempts to predict Renaissance 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 Renaissance Europe's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Renaissance Europe Fund Forecast Pattern

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 Renaissance Europe fund data series using in forecasting. Note that when a statistical model is used to represent Renaissance Europe 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 Criteria120.9005
BiasArithmetic mean of the errors None
MADMean absolute deviation3.5093
MAPEMean absolute percentage error0.0127
SAESum of the absolute errors214.0643
A single variable polynomial regression model attempts to put a curve through the Renaissance Europe 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 Renaissance Europe

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Renaissance Europe. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.

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

Renaissance Europe Market Strength Events

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

Renaissance Europe Risk Indicators

The analysis of Renaissance Europe'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 Renaissance Europe's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting renaissance fund 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.

Currently Active Assets on Macroaxis

Content Syndication
Quickly integrate customizable finance content to your own investment portal
Equity Valuation
Check real value of public entities based on technical and fundamental data
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
FinTech Suite
Use AI to screen and filter profitable investment opportunities