LANC Old Stock Forecast - Polynomial Regression

LANCDelisted Stock  USD 172.77  0.80  0.47%   
The Polynomial Regression forecasted value of LANC Old on the next trading day is expected to be 179.35 with a mean absolute deviation of 5.07 and the sum of the absolute errors of 309.34. LANC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast LANC Old stock prices and determine the direction of LANC Old's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of LANC Old's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
LANC Old polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for LANC Old as well as the accuracy indicators are determined from the period prices.

LANC Old Polynomial Regression Price Forecast For the 22nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of LANC Old on the next trading day is expected to be 179.35 with a mean absolute deviation of 5.07, mean absolute percentage error of 45.35, and the sum of the absolute errors of 309.34.
Please note that although there have been many attempts to predict LANC 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 LANC Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

LANC Old Stock Forecast Pattern

Backtest LANC OldLANC Old Price PredictionBuy or Sell Advice 

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 LANC Old stock data series using in forecasting. Note that when a statistical model is used to represent LANC Old 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 Criteria121.925
BiasArithmetic mean of the errors None
MADMean absolute deviation5.0711
MAPEMean absolute percentage error0.0293
SAESum of the absolute errors309.3395
A single variable polynomial regression model attempts to put a curve through the LANC Old 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 LANC Old

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LANC Old. 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
172.77172.77172.77
Details
Intrinsic
Valuation
LowRealHigh
147.92147.92190.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
153.51171.74189.98
Details

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

LANC Old Market Strength Events

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

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.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.
You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

Other Consideration for investing in LANC Stock

If you are still planning to invest in LANC Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the LANC Old's history and understand the potential risks before investing.
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
CEOs Directory
Screen CEOs from public companies around the world