Eli Lilly Stock Forecast - Polynomial Regression

LLY Stock  EUR 764.90  37.20  5.11%   
The Polynomial Regression forecasted value of Eli Lilly and on the next trading day is expected to be 793.67 with a mean absolute deviation of 24.96 and the sum of the absolute errors of 1,522. Eli Stock Forecast is based on your current time horizon.
  
Eli Lilly polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Eli Lilly and as well as the accuracy indicators are determined from the period prices.

Eli Lilly Polynomial Regression Price Forecast For the 24th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Eli Lilly and on the next trading day is expected to be 793.67 with a mean absolute deviation of 24.96, mean absolute percentage error of 862.26, and the sum of the absolute errors of 1,522.
Please note that although there have been many attempts to predict Eli 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 Eli Lilly's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Eli Lilly Stock Forecast Pattern

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Eli Lilly Forecasted Value

In the context of forecasting Eli Lilly'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. Eli Lilly's downside and upside margins for the forecasting period are 791.23 and 796.12, respectively. We have considered Eli Lilly'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
764.90
791.23
Downside
793.67
Expected Value
796.12
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 Eli Lilly stock data series using in forecasting. Note that when a statistical model is used to represent Eli Lilly 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 Criteria124.8701
BiasArithmetic mean of the errors None
MADMean absolute deviation24.958
MAPEMean absolute percentage error0.0327
SAESum of the absolute errors1522.4366
A single variable polynomial regression model attempts to put a curve through the Eli Lilly 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 Eli Lilly

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eli Lilly. 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
762.46764.90767.34
Details
Intrinsic
Valuation
LowRealHigh
762.69765.13767.57
Details

Other Forecasting Options for Eli Lilly

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

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

Eli Lilly 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 Eli Lilly'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 Eli Lilly's current price.

Eli Lilly Market Strength Events

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

Eli Lilly Risk Indicators

The analysis of Eli Lilly'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 Eli Lilly's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eli 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.

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Additional Information and Resources on Investing in Eli Stock

When determining whether Eli Lilly offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Eli Lilly'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 Eli Lilly And Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Eli Lilly And Stock:
Check out Historical Fundamental Analysis of Eli Lilly to cross-verify your projections.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Please note, there is a significant difference between Eli Lilly's value and its price as these two are different measures arrived at by different means. Investors typically determine if Eli Lilly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Eli Lilly'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.