KROGER Forecast - Polynomial Regression

501044BZ3   112.52  2.09  1.82%   
The Polynomial Regression forecasted value of KROGER 75 percent on the next trading day is expected to be 113.95 with a mean absolute deviation of 0.52 and the sum of the absolute errors of 32.23. KROGER Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast KROGER stock prices and determine the direction of KROGER 75 percent's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of KROGER's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
KROGER polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for KROGER 75 percent as well as the accuracy indicators are determined from the period prices.

KROGER Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of KROGER 75 percent on the next trading day is expected to be 113.95 with a mean absolute deviation of 0.52, mean absolute percentage error of 0.44, and the sum of the absolute errors of 32.23.
Please note that although there have been many attempts to predict KROGER 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 KROGER's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KROGER Bond Forecast Pattern

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KROGER Forecasted Value

In the context of forecasting KROGER's Bond 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. KROGER's downside and upside margins for the forecasting period are 113.50 and 114.41, respectively. We have considered KROGER'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
112.52
113.50
Downside
113.95
Expected Value
114.41
Upside

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 KROGER bond data series using in forecasting. Note that when a statistical model is used to represent KROGER 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 Criteria119.1304
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5199
MAPEMean absolute percentage error0.0045
SAESum of the absolute errors32.2333
A single variable polynomial regression model attempts to put a curve through the KROGER 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 KROGER

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KROGER 75 percent. 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
112.07112.52112.97
Details
Intrinsic
Valuation
LowRealHigh
101.27113.71114.16
Details
Bollinger
Band Projection (param)
LowMiddleHigh
112.34114.14115.95
Details

Other Forecasting Options for KROGER

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

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

KROGER 75 percent Technical and Predictive Analytics

The bond market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of KROGER'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 KROGER's current price.

KROGER Market Strength Events

Market strength indicators help investors to evaluate how KROGER bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KROGER shares will generate the highest return on investment. By undertsting and applying KROGER bond market strength indicators, traders can identify KROGER 75 percent entry and exit signals to maximize returns.

KROGER Risk Indicators

The analysis of KROGER'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 KROGER's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kroger bond 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. One of the essential factors to consider when estimating the risk of default for a bond instrument is its duration, which is the bond's price sensitivity to changes in interest rates. The duration of KROGER 75 percent bond is primarily affected by its yield, coupon rate, and time to maturity. The duration of a bond will be higher the lower its coupon, lower its yield, and longer the time left to maturity.
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.

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 KROGER Bond

KROGER financial ratios help investors to determine whether KROGER 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 KROGER with respect to the benefits of owning KROGER security.