PIMCO Multi Fund Forecast - Naive Prediction

PIX-UN Fund   8.19  0.04  0.49%   
The Naive Prediction forecasted value of PIMCO Multi Sector Income on the next trading day is expected to be 8.06 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.33. Investors can use prediction functions to forecast PIMCO Multi's fund prices and determine the direction of PIMCO Multi Sector Income's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
A naive forecasting model for PIMCO Multi is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PIMCO Multi Sector Income value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

PIMCO Multi Naive Prediction Price Forecast For the 15th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of PIMCO Multi Sector Income on the next trading day is expected to be 8.06 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.33.
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 Multi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PIMCO Multi Fund Forecast Pattern

PIMCO Multi Forecasted Value

In the context of forecasting PIMCO Multi'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 Multi's downside and upside margins for the forecasting period are 7.32 and 8.79, respectively. We have considered PIMCO Multi'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
8.19
8.06
Expected Value
8.79
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PIMCO Multi fund data series using in forecasting. Note that when a statistical model is used to represent PIMCO Multi 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 Criteria112.0846
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0382
MAPEMean absolute percentage error0.0045
SAESum of the absolute errors2.3284
This model is not at all useful as a medium-long range forecasting tool of PIMCO Multi Sector Income. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict PIMCO Multi. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for PIMCO Multi

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 Multi Sector. 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 Multi'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 PIMCO Multi

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

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

PIMCO Multi Sector 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 Multi'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 Multi's current price.

PIMCO Multi Market Strength Events

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

PIMCO Multi Risk Indicators

The analysis of PIMCO Multi'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 Multi'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 Multi

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

Moving against PIMCO Fund

  0.630P00012UCU RBC Global EquityPairCorr
  0.620P0001FAU8 TD Comfort BalancedPairCorr
  0.590P0000706A RBC Select BalancedPairCorr
  0.580P00007069 RBC PortefeuillePairCorr
  0.530P0000IUYO Edgepoint Global PorPairCorr
The ability to find closely correlated positions to PIMCO Multi 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 Multi 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 Multi - 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 Multi Sector Income to buy it.
The correlation of PIMCO Multi 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 Multi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PIMCO Multi Sector 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 Multi 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
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Fundamental Analysis
View fundamental data based on most recent published financial statements
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments