Kamada Stock Forecast - Polynomial Regression

KMDA Stock  ILA 2,190  29.00  1.31%   
The Polynomial Regression forecasted value of Kamada on the next trading day is expected to be 2,322 with a mean absolute deviation of 48.11 and the sum of the absolute errors of 2,935. Kamada Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Kamada stock prices and determine the direction of Kamada's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Kamada's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Kamada polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Kamada as well as the accuracy indicators are determined from the period prices.

Kamada Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Kamada on the next trading day is expected to be 2,322 with a mean absolute deviation of 48.11, mean absolute percentage error of 3,260, and the sum of the absolute errors of 2,935.
Please note that although there have been many attempts to predict Kamada Stock 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 Kamada's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kamada Stock Forecast Pattern

Backtest KamadaKamada Price PredictionBuy or Sell Advice 

Kamada Forecasted Value

In the context of forecasting Kamada's Stock 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. Kamada's downside and upside margins for the forecasting period are 2,321 and 2,324, respectively. We have considered Kamada'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
2,190
2,322
Expected Value
2,324
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 Kamada stock data series using in forecasting. Note that when a statistical model is used to represent Kamada stock, 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 Criteria126.2001
BiasArithmetic mean of the errors None
MADMean absolute deviation48.1076
MAPEMean absolute percentage error0.0229
SAESum of the absolute errors2934.5607
A single variable polynomial regression model attempts to put a curve through the Kamada 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 Kamada

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kamada. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
2,1882,1902,192
Details
Intrinsic
Valuation
LowRealHigh
1,9691,9712,409
Details
Bollinger
Band Projection (param)
LowMiddleHigh
2,1722,2002,227
Details

Other Forecasting Options for Kamada

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

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

Kamada Technical and Predictive Analytics

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

Kamada Market Strength Events

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

Kamada Risk Indicators

The analysis of Kamada'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 Kamada's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kamada stock 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.

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.

Additional Information and Resources on Investing in Kamada Stock

When determining whether Kamada offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Kamada's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Kamada Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Kamada Stock:
Check out Historical Fundamental Analysis of Kamada to cross-verify your projections.
For information on how to trade Kamada Stock refer to our How to Trade Kamada Stock guide.
You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Please note, there is a significant difference between Kamada's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kamada is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kamada's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.