Invesco Short-Term Money Market Fund Forecast - Polynomial Regression

AGPXX
 Fund
  

USD 1.00  2.74  73.26%   

Invesco Money Market Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Invesco Short-Term historical stock prices and determine the direction of Invesco Short-Term Investments'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 Invesco Short-Term historical fundamentals such as revenue growth or operating cash flow patterns.
Please continue to fundamental analysis of Invesco Short-Term to check your projections.
  
Most investors in Invesco Short-Term 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 Invesco Short-Term's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Invesco Short-Term's price structures and extracts relationships that further increase the generated results' accuracy.
Invesco Short-Term polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Invesco Short-Term Investments as well as the accuracy indicators are determined from the period prices.

Invesco Short-Term Polynomial Regression Price Forecast For the 8th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Invesco Short-Term Investments on the next trading day is expected to be 3.11 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.18, and the sum of the absolute errors of 15.17.
Please note that although there have been many attempts to predict Invesco Money Market 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 Invesco Short-Term's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Invesco Short-Term Money Market Fund Forecast Pattern

Invesco Short-Term Forecasted Value

In the context of forecasting Invesco Short-Term's Money Market 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. Invesco Short-Term's downside and upside margins for the forecasting period are 0.01 and 30.66, respectively. We have considered Invesco Short-Term'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 1.00
3.11
Expected Value
30.66
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 Invesco Short-Term money market fund data series using in forecasting. Note that when a statistical model is used to represent Invesco Short-Term money market 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 Criteria116.3838
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2487
MAPEMean absolute percentage error0.125
SAESum of the absolute errors15.1711
A single variable polynomial regression model attempts to put a curve through the Invesco Short-Term 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 Invesco Short-Term

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Invesco Short-Term. 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 Invesco Short-Term'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 Invesco Short-Term in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.061.1428.91
Details
Intrinsic
Valuation
LowReal ValueHigh
0.061.2629.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Invesco Short-Term. Your research has to be compared to or analyzed against Invesco Short-Term's peers to derive any actionable benefits. When done correctly, Invesco Short-Term's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Invesco Short-Term.

Other Forecasting Options for Invesco Short-Term

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

Invesco Short-Term 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 Invesco Short-Term money market fund to make a market-neutral strategy. Peer analysis of Invesco Short-Term could also be used in its relative valuation, which is a method of valuing Invesco Short-Term by comparing valuation metrics with similar companies.
Merck CompanyFidelity MSCI EnergyBondbloxx ETF TrustVANGUARD SMALL-CAP GROWTHAMN Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGlobal X NASDAQFRANKLIN MUTUAL EUROPEANBHP Group LimitedNatural Health TrendIShares MSCI USABetaPro Canadian GoldAramark HoldingsVanguard Long-Term
 Risk & Return  Correlation

Invesco Short-Term 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 Invesco Short-Term'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 Invesco Short-Term's current price.

Invesco Short-Term Market Strength Events

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

Invesco Short-Term Risk Indicators

The analysis of Invesco Short-Term'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 Invesco Short-Term's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Invesco Short-Term 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.
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Invesco Short-Term in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Invesco Short-Term's short interest history, or implied volatility extrapolated from Invesco Short-Term options trading.

Pair Trading with Invesco Short-Term

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 Invesco Short-Term 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 Invesco Short-Term will appreciate offsetting losses from the drop in the long position's value.

Moving together with Invesco Short-Term

+0.65JPMJPMorgan Chase Sell-off TrendPairCorr
The ability to find closely correlated positions to Invesco Short-Term could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Invesco Short-Term 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 Invesco Short-Term - 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 Invesco Short-Term Investments to buy it.
The correlation of Invesco Short-Term is a statistical measure of how it moves in relation to other equities. 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 Invesco Short-Term moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco Short-Term 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 Invesco Short-Term 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
Please continue to fundamental analysis of Invesco Short-Term to check your projections. You can also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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Please note, there is a significant difference between Invesco Short-Term's value and its price as these two are different measures arrived at by different means. Investors typically determine Invesco Short-Term value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Short-Term's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.