AGF American Fund Forecast - Polynomial Regression

AGF5036 Fund   72.25  0.65  0.89%   
The Polynomial Regression forecasted value of AGF American Growth on the next trading day is expected to be 71.41 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 40.62. Investors can use prediction functions to forecast AGF American's fund prices and determine the direction of AGF American Growth's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
AGF American polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for AGF American Growth as well as the accuracy indicators are determined from the period prices.

AGF American Polynomial Regression Price Forecast For the 30th of December

Given 90 days horizon, the Polynomial Regression forecasted value of AGF American Growth on the next trading day is expected to be 71.41 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.77, and the sum of the absolute errors of 40.62.
Please note that although there have been many attempts to predict AGF 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 AGF American's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AGF American Fund Forecast Pattern

AGF American Forecasted Value

In the context of forecasting AGF American's Fund 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. AGF American's downside and upside margins for the forecasting period are 70.43 and 72.39, respectively. We have considered AGF American'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
72.25
71.41
Expected Value
72.39
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 AGF American fund data series using in forecasting. Note that when a statistical model is used to represent AGF American 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 Criteria117.8491
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6659
MAPEMean absolute percentage error0.0095
SAESum of the absolute errors40.6185
A single variable polynomial regression model attempts to put a curve through the AGF American 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 AGF American

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AGF American Growth. 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.

Other Forecasting Options for AGF American

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

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

AGF American Growth Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of AGF American'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 AGF American's current price.

AGF American Market Strength Events

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

AGF American Risk Indicators

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

Pair Trading with AGF American

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

Moving together with AGF Fund

  0.70P0000706A RBC Select BalancedPairCorr
  0.740P00007069 RBC PortefeuillePairCorr
  0.630P0000IUYO Edgepoint Global PorPairCorr
  0.750P0001FAU8 TD Comfort BalancedPairCorr

Moving against AGF Fund

  0.60P0000S9O7 PIMCO Monthly IncomePairCorr
The ability to find closely correlated positions to AGF American could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AGF American 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 AGF American - 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 AGF American Growth to buy it.
The correlation of AGF American 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 AGF American moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AGF American Growth 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 AGF American 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
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