Pimco Municipal Fund Forecast - Simple Moving Average

PML Fund  USD 8.68  0.08  0.93%   
The Simple Moving Average forecasted value of Pimco Municipal Income on the next trading day is expected to be 8.68 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.63. Pimco Fund Forecast is based on your current time horizon.
  
A two period moving average forecast for Pimco Municipal is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Pimco Municipal Simple Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Pimco Municipal Income on the next trading day is expected to be 8.68 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.63.
Please note that although there have been many attempts to predict Pimco 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 Pimco Municipal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pimco Municipal Fund Forecast Pattern

Backtest Pimco MunicipalPimco Municipal Price PredictionBuy or Sell Advice 

Pimco Municipal Forecasted Value

In the context of forecasting Pimco Municipal'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. Pimco Municipal's downside and upside margins for the forecasting period are 7.75 and 9.62, respectively. We have considered Pimco Municipal'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
8.68
8.68
Expected Value
9.62
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Pimco Municipal fund data series using in forecasting. Note that when a statistical model is used to represent Pimco Municipal 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 Criteria109.8974
BiasArithmetic mean of the errors 0.0011
MADMean absolute deviation0.0784
MAPEMean absolute percentage error0.0087
SAESum of the absolute errors4.625
The simple moving average model is conceptually a linear regression of the current value of Pimco Municipal Income price series against current and previous (unobserved) value of Pimco Municipal. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Pimco Municipal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pimco Municipal Income. 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.
Hype
Prediction
LowEstimatedHigh
7.748.689.62
Details
Intrinsic
Valuation
LowRealHigh
7.828.769.70
Details

Other Forecasting Options for Pimco Municipal

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

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

Pimco Municipal Income 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 Pimco Municipal'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 Pimco Municipal's current price.

Pimco Municipal Market Strength Events

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

Pimco Municipal Risk Indicators

The analysis of Pimco Municipal'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 Pimco Municipal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pimco 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Pimco Fund

Pimco Municipal financial ratios help investors to determine whether Pimco Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pimco with respect to the benefits of owning Pimco Municipal security.
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing