12563DAA3 Forecast - Polynomial Regression

12563DAA3   91.70  0.00  0.00%   
The Polynomial Regression forecasted value of CKHH 275 06 SEP 29 on the next trading day is expected to be 91.92 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 58.59. 12563DAA3 Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 12563DAA3 stock prices and determine the direction of CKHH 275 06 SEP 29's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 12563DAA3's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
12563DAA3 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CKHH 275 06 SEP 29 as well as the accuracy indicators are determined from the period prices.

12563DAA3 Polynomial Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of CKHH 275 06 SEP 29 on the next trading day is expected to be 91.92 with a mean absolute deviation of 0.96, mean absolute percentage error of 1.26, and the sum of the absolute errors of 58.59.
Please note that although there have been many attempts to predict 12563DAA3 Bond 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 12563DAA3's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

12563DAA3 Bond Forecast Pattern

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 12563DAA3 bond data series using in forecasting. Note that when a statistical model is used to represent 12563DAA3 bond, 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 Criteria118.3444
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9605
MAPEMean absolute percentage error0.0108
SAESum of the absolute errors58.5927
A single variable polynomial regression model attempts to put a curve through the 12563DAA3 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 12563DAA3

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CKHH 275 06. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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
91.7091.7091.70
Details
Intrinsic
Valuation
LowRealHigh
90.3790.37100.87
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 12563DAA3. Your research has to be compared to or analyzed against 12563DAA3's peers to derive any actionable benefits. When done correctly, 12563DAA3's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CKHH 275 06.

12563DAA3 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 12563DAA3 bond to make a market-neutral strategy. Peer analysis of 12563DAA3 could also be used in its relative valuation, which is a method of valuing 12563DAA3 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

12563DAA3 Market Strength Events

Market strength indicators help investors to evaluate how 12563DAA3 bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 12563DAA3 shares will generate the highest return on investment. By undertsting and applying 12563DAA3 bond market strength indicators, traders can identify CKHH 275 06 SEP 29 entry and exit signals to maximize returns.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in 12563DAA3 Bond

12563DAA3 financial ratios help investors to determine whether 12563DAA3 Bond 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 12563DAA3 with respect to the benefits of owning 12563DAA3 security.