AGF AS Stock Forecast - Simple Regression
AGF-B Stock | DKK 0.55 0.00 1.54% |
AGF Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast AGF AS stock prices and determine the direction of AGF AS's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of AGF AS's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. AGF |
Most investors in AGF AS 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 AGF AS's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets AGF AS's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through AGF AS price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. AGF AS Simple Regression Price Forecast For the 21st of May
Given 90 days horizon, the Simple Regression forecasted value of AGF AS on the next trading day is expected to be 0.63 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000058, and the sum of the absolute errors of 0.35.Please note that although there have been many attempts to predict AGF 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 AGF AS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AGF AS Stock Forecast Pattern
Backtest AGF AS | AGF AS Price Prediction | Buy or Sell Advice |
AGF AS Forecasted Value
In the context of forecasting AGF AS'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. AGF AS's downside and upside margins for the forecasting period are 0.01 and 2.05, respectively. We have considered AGF AS'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of AGF AS stock data series using in forecasting. Note that when a statistical model is used to represent AGF AS 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.AIC | Akaike Information Criteria | 108.3618 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.0057 |
MAPE | Mean absolute percentage error | 0.009 |
SAE | Sum of the absolute errors | 0.3495 |
Predictive Modules for AGF AS
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 AS. 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 AGF AS'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.
Other Forecasting Options for AGF AS
For every potential investor in AGF, whether a beginner or expert, AGF AS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AGF Stock 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 AS's price trends.AGF AS 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 AS stock to make a market-neutral strategy. Peer analysis of AGF AS could also be used in its relative valuation, which is a method of valuing AGF AS by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
AGF AS 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 AGF AS'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 AS's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
AGF AS Market Strength Events
Market strength indicators help investors to evaluate how AGF AS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AGF AS shares will generate the highest return on investment. By undertsting and applying AGF AS stock market strength indicators, traders can identify AGF AS entry and exit signals to maximize returns.
AGF AS Risk Indicators
The analysis of AGF AS'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 AS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting agf 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.
Mean Deviation | 0.9196 | |||
Standard Deviation | 1.42 | |||
Variance | 2.0 |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of AGF AS to cross-verify your projections. Note that the AGF AS information on this page should be used as a complementary analysis to other AGF AS's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Complementary Tools for AGF Stock analysis
When running AGF AS's price analysis, check to measure AGF AS'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 AGF AS is operating at the current time. Most of AGF AS's value examination focuses on studying past and present price action to predict the probability of AGF AS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AGF AS's price. Additionally, you may evaluate how the addition of AGF AS to your portfolios can decrease your overall portfolio volatility.
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