Banco De Stock Forecast - Naive Prediction
| CHILE Stock | CLP 111.71 0.29 0.26% |
The Naive Prediction forecasted value of Banco de Chile on the next trading day is expected to be 114.18 with a mean absolute deviation of 0.95 and the sum of the absolute errors of 57.92. Banco Stock Forecast is based on your current time horizon.
Banco |
Banco De Naive Prediction Price Forecast For the 27th of November
Given 90 days horizon, the Naive Prediction forecasted value of Banco de Chile on the next trading day is expected to be 114.18 with a mean absolute deviation of 0.95, mean absolute percentage error of 1.47, and the sum of the absolute errors of 57.92.Please note that although there have been many attempts to predict Banco 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 Banco De's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Banco De Stock Forecast Pattern
| Backtest Banco De | Banco De Price Prediction | Buy or Sell Advice |
Banco De Forecasted Value
In the context of forecasting Banco De'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. Banco De's downside and upside margins for the forecasting period are 113.20 and 115.16, respectively. We have considered Banco De'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.
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 Banco De stock data series using in forecasting. Note that when a statistical model is used to represent Banco De 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.| AIC | Akaike Information Criteria | 118.4941 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9495 |
| MAPE | Mean absolute percentage error | 0.0083 |
| SAE | Sum of the absolute errors | 57.9216 |
Predictive Modules for Banco De
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Banco de Chile. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Banco De's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Banco De
For every potential investor in Banco, whether a beginner or expert, Banco De's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Banco Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Banco. Basic forecasting techniques help filter out the noise by identifying Banco De's price trends.Banco De 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 Banco De stock to make a market-neutral strategy. Peer analysis of Banco De could also be used in its relative valuation, which is a method of valuing Banco De by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Banco de Chile 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 Banco De'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 Banco De's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Banco De Market Strength Events
Market strength indicators help investors to evaluate how Banco De stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Banco De shares will generate the highest return on investment. By undertsting and applying Banco De stock market strength indicators, traders can identify Banco de Chile entry and exit signals to maximize returns.
| Accumulation Distribution | 263860.0 | |||
| Daily Balance Of Power | (0.43) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 112.04 | |||
| Day Typical Price | 111.93 | |||
| Price Action Indicator | (0.48) | |||
| Period Momentum Indicator | (0.29) |
Banco De Risk Indicators
The analysis of Banco De'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 Banco De's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting banco 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.
| Mean Deviation | 0.7545 | |||
| Standard Deviation | 0.9769 | |||
| Variance | 0.9544 |
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 Banco De
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 Banco De 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 Banco De will appreciate offsetting losses from the drop in the long position's value.Moving together with Banco Stock
Moving against Banco Stock
| 0.39 | AFPCAPITAL | AFP Capital SA | PairCorr |
The ability to find closely correlated positions to Banco De could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banco De 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 Banco De - 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 Banco de Chile to buy it.
The correlation of Banco De 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 Banco De moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banco de Chile 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 Banco De 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.Additional Tools for Banco Stock Analysis
When running Banco De's price analysis, check to measure Banco De'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 Banco De is operating at the current time. Most of Banco De's value examination focuses on studying past and present price action to predict the probability of Banco De's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banco De's price. Additionally, you may evaluate how the addition of Banco De to your portfolios can decrease your overall portfolio volatility.