Pimco New Fund Forecast - 8 Period Moving Average

PYN Fund  USD 5.88  0.05  0.84%   
The 8 Period Moving Average forecasted value of Pimco New York on the next trading day is expected to be 5.99 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.34. Pimco Fund Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Pimco New is based on an artificially constructed time series of Pimco New daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Pimco New 8 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Pimco New York on the next trading day is expected to be 5.99 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.34.
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 New's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pimco New Fund Forecast Pattern

Backtest Pimco NewPimco New Price PredictionBuy or Sell Advice 

Pimco New Forecasted Value

In the context of forecasting Pimco New'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 New's downside and upside margins for the forecasting period are 5.35 and 6.63, respectively. We have considered Pimco New'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
5.88
5.99
Expected Value
6.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Pimco New fund data series using in forecasting. Note that when a statistical model is used to represent Pimco New 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 Criteria98.336
BiasArithmetic mean of the errors 0.005
MADMean absolute deviation0.063
MAPEMean absolute percentage error0.0103
SAESum of the absolute errors3.3412
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Pimco New York 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Pimco New

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 New York. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pimco New'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.
Hype
Prediction
LowEstimatedHigh
5.305.936.56
Details
Intrinsic
Valuation
LowRealHigh
5.355.986.61
Details

Other Forecasting Options for Pimco New

For every potential investor in Pimco, whether a beginner or expert, Pimco New'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 New's price trends.

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

Pimco New York 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 New'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 New's current price.

Pimco New Market Strength Events

Market strength indicators help investors to evaluate how Pimco New 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 New shares will generate the highest return on investment. By undertsting and applying Pimco New fund market strength indicators, traders can identify Pimco New York entry and exit signals to maximize returns.

Pimco New Risk Indicators

The analysis of Pimco New'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 New'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.

Pair Trading with Pimco New

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 Pimco New 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 Pimco New will appreciate offsetting losses from the drop in the long position's value.

Moving together with Pimco Fund

  0.9EIM Eaton Vance MbfPairCorr
  0.8IIF Morgan Stanley IndiaPairCorr

Moving against Pimco Fund

  0.42FEN First Trust EnergyPairCorr
The ability to find closely correlated positions to Pimco New could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pimco New 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 Pimco New - 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 Pimco New York to buy it.
The correlation of Pimco New 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 Pimco New moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pimco New York 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 Pimco New 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

Other Information on Investing in Pimco Fund

Pimco New 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 New security.
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