Pimco Corporate Fund Forecast - Simple Regression

Pimco Corporate Additional Predictive Modules

Most predictive techniques to examine Pimco price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pimco using various technical indicators. When you analyze Pimco charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Pimco Corporate price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Pimco Corporate Simple Regression Price Forecast For the 25th of January

Given 90 days horizon, the Simple Regression forecasted value of Pimco Corporate Income on the next trading day is expected to be 12.83 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.75.

Pimco Corporate Fund Forecast Pattern

Backtest Pimco Corporate

Pimco Corporate Price Prediction

Buy or Sell Advice

Pimco Corporate Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Pimco Corporate fund data series using in forecasting. Note that when a statistical model is used to represent Pimco Corporate 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. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Pimco Corporate Income historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Pimco Corporate

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 Corporate 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 Low Estimated High 12.47 13.07 13.67 Details

Intrinsic Valuation Low Real High 12.45 13.05 13.65 Details

Bollinger Band Projection (param) Low Middle High 12.64 12.91 13.17 Details

Pimco Corporate After-Hype Price Prediction Density Analysis

Pimco Corporate Estimiated After-Hype Price Volatility

Pimco Corporate Fund Price Prediction Analysis

Pimco Corporate Hype Timeline

On the 24th of January Pimco Corporate Income is traded for 13.07. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.03. Pimco is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at -0.04%. %. The volatility of related hype on Pimco Corporate is about 69.04%, with the expected price after the next announcement by competition of 13.10. The company has price-to-book ratio of 1.16. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Pimco Corporate Income last dividend was issued on the 10th of November 2022. Considering the 90-day investment horizon the next anticipated press release will be in about 7 days. Check out Historical Fundamental Analysis of Pimco Corporate to cross-verify your projections.

Pimco Corporate Related Hype Analysis

Other Forecasting Options for Pimco Corporate

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

Pimco Corporate Related Equities

Risk & Return

Correlation

Pimco Corporate Market Strength Events

Pimco Corporate Risk Indicators

Story Coverage note for Pimco Corporate

Other Macroaxis Stories

Other Information on Investing in Pimco Fund