Eli Lilly Stock Forecast - Polynomial Regression

LLY Stock  USD 755.00  6.99  0.93%   
The Polynomial Regression forecasted value of Eli Lilly and on the next trading day is expected to be 697.69 with a mean absolute deviation of 19.72 and the sum of the absolute errors of 1,203. Eli Stock Forecast is based on your current time horizon.
  
At this time, Eli Lilly's Inventory Turnover is fairly stable compared to the past year. Payables Turnover is likely to rise to 3.01 in 2024, whereas Fixed Asset Turnover is likely to drop 1.84 in 2024. . Common Stock Shares Outstanding is likely to drop to about 868.4 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 4 B in 2024.
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 26th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Eli Lilly and on the next trading day is expected to be 697.69 with a mean absolute deviation of 19.72, mean absolute percentage error of 521.06, and the sum of the absolute errors of 1,203.
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 695.88 and 699.50, 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
755.00
695.88
Downside
697.69
Expected Value
699.50
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 Criteria124.3664
BiasArithmetic mean of the errors None
MADMean absolute deviation19.7192
MAPEMean absolute percentage error0.0232
SAESum of the absolute errors1202.87
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
751.03752.84830.50
Details
Intrinsic
Valuation
LowRealHigh
628.40630.21830.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
698.99773.63848.28
Details
27 Analysts
Consensus
LowTargetHigh
549.25603.57669.96
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.

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 Tools for Eli Stock Analysis

When running Eli Lilly's price analysis, check to measure Eli Lilly's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Eli Lilly is operating at the current time. Most of Eli Lilly's value examination focuses on studying past and present price action to predict the probability of Eli Lilly's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eli Lilly's price. Additionally, you may evaluate how the addition of Eli Lilly to your portfolios can decrease your overall portfolio volatility.