# Income Fund Mutual Fund Forecast - Polynomial Regression

AMEFX | - USA Fund | ## USD 25.89 0.12 0.46% |

Income Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Income Fund historical stock prices and determine the direction of The Income Fund's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Income Fund historical fundamentals such as revenue growth or operating cash flow patterns.

Please continue to Historical Fundamental Analysis of Income Fund to cross-verify your projections. ## Income Fund Polynomial Regression Price Forecast For the 4th of August

Given 90 days horizon, the Polynomial Regression forecasted value of The Income Fund on the next trading day is expected to be 25.97 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.02883, and the sum of the absolute errors of 8.17. Please note that although there have been many attempts to predict Income 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 Income Fund's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).## Income Fund Mutual Fund Forecast Pattern

Backtest Income Fund | Income Fund Price Prediction | Buy or Sell Advice |

## Income Fund Forecasted Value

In the context of forecasting Income Fund's Mutual 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. Income Fund's downside and upside margins for the forecasting period are 25.44 and 26.49, respectively. We have considered Income Fund'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Income Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Income Fund 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.AIC | Akaike Information Criteria | 114.5642 |

Bias | Arithmetic mean of the errors | None |

MAD | Mean absolute deviation | 0.1339 |

MAPE | Mean absolute percentage error | 0.0052 |

SAE | Sum of the absolute errors | 8.1706 |

_{0}+ a

_{1}*X + a

_{2}*X

^{2}+ a

_{3}*X

^{3}+ ... + a

_{m}*X

^{m}

## Predictive Modules for Income Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Income Fund. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Income Fund'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. Please use the tools below to analyze the current value of Income Fund in the context of predictive analytics.## Other Forecasting Options for Income Fund

For every potential investor in Income, whether a beginner or expert, Income Fund's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Income Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Income. Basic forecasting techniques help filter out the noise by identifying Income Fund's price trends.## View Currently 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 Income Fund mutual fund to make a market-neutral strategy. Peer analysis of Income Fund could also be used in its relative valuation, which is a method of valuing Income Fund by comparing valuation metrics with similar companies.

Income FundIncome FundIncome FundIncome FundIncome FundAmerican FundsAmerican FundsMFS GrowthFidelity AdvisorFidelity AdvisorAmerican AirlinesAlcoa CorpAppleBest BuyCitigroup

Risk & Return | Correlation |

## Income Fund 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 Income Fund'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 Income Fund's current price.Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

## Income Fund Risk Indicators

The analysis of Income Fund's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Income Fund's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Income Fund stock price, 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 | 0.403 | |||

Semi Deviation | 0.5287 | |||

Standard Deviation | 0.5235 | |||

Variance | 0.2741 | |||

Downside Variance | 0.344 | |||

Semi Variance | 0.2795 | |||

Expected Short fall | (0.41) |

Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

## Income Fund Investors Sentiment

The influence of Income Fund's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Income. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.## Pair Trading with Income Fund

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 Income Fund 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 Income Fund will appreciate offsetting losses from the drop in the long position's value.## Income Fund Pair Correlation

### Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Income Fund and Income Fund. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return

Run Pair Correlation |

Please continue to Historical Fundamental Analysis of Income Fund to cross-verify your projections. Note that the Income Fund information on this page should be used as a complementary analysis to other Income Fund'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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.

## Complementary Tools for Income Mutual Fund analysis

When running Income Fund price analysis, check to measure Income Fund'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 Income Fund is operating at the current time. Most of Income Fund's value examination focuses on studying past and present price action to predict the probability of Income Fund's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Income Fund's price. Additionally, you may evaluate how the addition of Income Fund to your portfolios can decrease your overall portfolio volatility.

Idea BreakdownAnalyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | Go | |

Idea OptimizerUse advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | Go | |

Pair CorrelationCompare performance and examine fundamental relationship between any two equity instruments | Go | |

Portfolio DiagnosticsUse generated alerts and portfolio events aggregator to diagnose current holdings | Go | |

Equity SearchSearch for activelly traded equities including funds and ETFs from over 30 global markets | Go | |

Portfolio CenterAll portfolio management and optimization tools to improve performance of your portfolios | Go | |

Instant RatingsDetermine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | Go | |

Performance AnalysisCheck effects of mean-variance optimization against your current asset allocation | Go | |

ETF DirectoryFind actively traded Exchange Traded Funds (ETF) from around the world | Go |