Las Condes Stock Forecast - Polynomial Regression

LASCONDES   10,980  1,057  10.65%   
The Polynomial Regression forecasted value of Las Condes on the next trading day is expected to be 10,335 with a mean absolute deviation of 261.19 and the sum of the absolute errors of 15,932. Las Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Las Condes stock prices and determine the direction of Las Condes's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Las Condes' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Las Condes polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Las Condes as well as the accuracy indicators are determined from the period prices.

Las Condes Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Las Condes on the next trading day is expected to be 10,335 with a mean absolute deviation of 261.19, mean absolute percentage error of 108,669, and the sum of the absolute errors of 15,932.
Please note that although there have been many attempts to predict Las 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 Las Condes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Las Condes Stock Forecast Pattern

Backtest Las CondesLas Condes Price PredictionBuy or Sell Advice 

Las Condes Forecasted Value

In the context of forecasting Las Condes' 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. Las Condes' downside and upside margins for the forecasting period are 10,332 and 10,337, respectively. We have considered Las Condes' 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
10,980
10,332
Downside
10,335
Expected Value
10,337
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 Las Condes stock data series using in forecasting. Note that when a statistical model is used to represent Las Condes 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 Criteria129.7066
BiasArithmetic mean of the errors None
MADMean absolute deviation261.1855
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors15932.3126
A single variable polynomial regression model attempts to put a curve through the Las Condes 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 Las Condes

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Las Condes. 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
10,97810,98010,982
Details
Intrinsic
Valuation
LowRealHigh
9,3169,31912,078
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10,21111,44112,671
Details

Other Forecasting Options for Las Condes

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

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

Las Condes 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 Las Condes' 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 Las Condes' current price.

Las Condes Market Strength Events

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

Las Condes Risk Indicators

The analysis of Las Condes' 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 Las Condes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting las 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.

Pair Trading with Las Condes

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Las Condes position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Las Condes will appreciate offsetting losses from the drop in the long position's value.

Moving against Las Stock

  0.68AFPCAPITAL AFP Capital SAPairCorr
  0.56ENLASA Energia Latina SAPairCorr
  0.47AAISA Administradora AmericanaPairCorr
The ability to find closely correlated positions to Las Condes could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Las Condes when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Las Condes - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Las Condes to buy it.
The correlation of Las Condes is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Las Condes moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Las Condes moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Las Condes can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Las Stock

Las Condes financial ratios help investors to determine whether Las 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 Las with respect to the benefits of owning Las Condes security.