Aenza SAA Stock Forecast - Triple Exponential Smoothing

AENZDelisted Stock  USD 1.94  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of Aenza SAA on the next trading day is expected to be 1.93 with a mean absolute deviation of  0.10  and the sum of the absolute errors of 6.03. Aenza Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Aenza SAA stock prices and determine the direction of Aenza SAA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Aenza SAA's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
  
Most investors in Aenza SAA cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Aenza SAA's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Aenza SAA's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Aenza SAA - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Aenza SAA prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Aenza SAA price movement. However, neither of these exponential smoothing models address any seasonality of Aenza SAA.

Aenza SAA Triple Exponential Smoothing Price Forecast For the 25th of April

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Aenza SAA on the next trading day is expected to be 1.93 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.03.
Please note that although there have been many attempts to predict Aenza 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 Aenza SAA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Aenza SAA Stock Forecast Pattern

Backtest Aenza SAAAenza SAA Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Aenza SAA stock data series using in forecasting. Note that when a statistical model is used to represent Aenza SAA 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0236
MADMean absolute deviation0.1022
MAPEMean absolute percentage error0.0474
SAESum of the absolute errors6.0319
As with simple exponential smoothing, in triple exponential smoothing models past Aenza SAA observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Aenza SAA observations.

Predictive Modules for Aenza SAA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aenza SAA. 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 Aenza SAA'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.
Hype
Prediction
LowEstimatedHigh
1.941.941.94
Details
Intrinsic
Valuation
LowRealHigh
1.781.782.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Aenza SAA. Your research has to be compared to or analyzed against Aenza SAA's peers to derive any actionable benefits. When done correctly, Aenza SAA's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Aenza SAA.

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

Aenza SAA Market Strength Events

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

Aenza SAA Risk Indicators

The analysis of Aenza SAA'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 Aenza SAA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aenza 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 Aenza SAA

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 Aenza SAA 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 Aenza SAA will appreciate offsetting losses from the drop in the long position's value.

Moving together with Aenza Stock

  0.61PTAIF PT Astra InternationalPairCorr

Moving against Aenza Stock

  0.62CAT Caterpillar Earnings Call TomorrowPairCorr
  0.62CVX Chevron Corp Earnings Call This WeekPairCorr
  0.61WMT Walmart Financial Report 16th of May 2024 PairCorr
  0.55DIS Walt Disney Report 8th of May 2024 PairCorr
  0.55JPM JPMorgan Chase Financial Report 12th of July 2024 PairCorr
The ability to find closely correlated positions to Aenza SAA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aenza SAA 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 Aenza SAA - 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 Aenza SAA to buy it.
The correlation of Aenza SAA 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 Aenza SAA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aenza SAA 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 Aenza SAA 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Consideration for investing in Aenza Stock

If you are still planning to invest in Aenza SAA 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 Aenza SAA's history and understand the potential risks before investing.
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Transaction History
View history of all your transactions and understand their impact on performance
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Technical Analysis
Check basic technical indicators and analysis based on most latest market data