Lam Research Stock Forecast - Naive Prediction

LAR Stock  EUR 74.50  4.31  6.14%   
The Naive Prediction forecasted value of Lam Research on the next trading day is expected to be 73.45 with a mean absolute deviation of 1.73 and the sum of the absolute errors of 105.25. Lam Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Lam Research's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Lam Research is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Lam Research value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Lam Research Naive Prediction Price Forecast For the 12th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Lam Research on the next trading day is expected to be 73.45 with a mean absolute deviation of 1.73, mean absolute percentage error of 4.47, and the sum of the absolute errors of 105.25.
Please note that although there have been many attempts to predict Lam 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 Lam Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lam Research Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Lam Research stock data series using in forecasting. Note that when a statistical model is used to represent Lam Research 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 Criteria119.6081
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7254
MAPEMean absolute percentage error0.0245
SAESum of the absolute errors105.2506
This model is not at all useful as a medium-long range forecasting tool of Lam Research. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Lam Research. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Lam Research

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lam Research. 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
71.8074.5077.20
Details
Intrinsic
Valuation
LowRealHigh
58.4961.1981.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
64.4969.4874.47
Details

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

Lam Research Market Strength Events

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

Lam Research Risk Indicators

The analysis of Lam Research'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 Lam Research's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lam 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Lam Stock

Lam Research financial ratios help investors to determine whether Lam Stock 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 Lam with respect to the benefits of owning Lam Research security.