Camus Engineering Stock Forecast - 4 Period Moving Average

013700 Stock   1,278  9.00  0.70%   
The 4 Period Moving Average forecasted value of Camus Engineering Construction on the next trading day is expected to be 1,283 with a mean absolute deviation of 15.12 and the sum of the absolute errors of 877.25. Camus Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Camus Engineering stock prices and determine the direction of Camus Engineering Construction's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Camus Engineering's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Camus Engineering Construction is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Camus Engineering 4 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Camus Engineering Construction on the next trading day is expected to be 1,283 with a mean absolute deviation of 15.12, mean absolute percentage error of 414.91, and the sum of the absolute errors of 877.25.
Please note that although there have been many attempts to predict Camus 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 Camus Engineering's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Camus Engineering Stock Forecast Pattern

Backtest Camus EngineeringCamus Engineering Price PredictionBuy or Sell Advice 

Camus Engineering Forecasted Value

In the context of forecasting Camus Engineering'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. Camus Engineering's downside and upside margins for the forecasting period are 1,281 and 1,284, respectively. We have considered Camus Engineering'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.
Market Value
1,278
1,283
Expected Value
1,284
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Camus Engineering stock data series using in forecasting. Note that when a statistical model is used to represent Camus Engineering 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 Criteria118.6249
BiasArithmetic mean of the errors 4.2543
MADMean absolute deviation15.125
MAPEMean absolute percentage error0.0117
SAESum of the absolute errors877.25
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Camus Engineering. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Camus Engineering Construction and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Camus Engineering

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Camus Engineering. 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
1,2771,2781,279
Details
Intrinsic
Valuation
LowRealHigh
1,0641,0661,406
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,1921,2541,316
Details

Other Forecasting Options for Camus Engineering

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

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

Camus Engineering 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 Camus Engineering'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 Camus Engineering's current price.

Camus Engineering Market Strength Events

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

Camus Engineering Risk Indicators

The analysis of Camus Engineering'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 Camus Engineering's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting camus 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 Camus Engineering

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 Camus Engineering 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 Camus Engineering will appreciate offsetting losses from the drop in the long position's value.

Moving together with Camus Stock

  0.83028260 Samsung CT CorpPairCorr
  0.79000720 Hyundai EngineeringPairCorr

Moving against Camus Stock

  0.68329180 Hyundai Heavy IndustriesPairCorr
  0.65111710 Namhwa IndustrialPairCorr
  0.36182360 Cube EntertainmentPairCorr
  0.31052690 KEPCO EngineeringPairCorr
The ability to find closely correlated positions to Camus Engineering could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Camus Engineering 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 Camus Engineering - 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 Camus Engineering Construction to buy it.
The correlation of Camus Engineering 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 Camus Engineering moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Camus Engineering 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 Camus Engineering 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 Camus Stock

Camus Engineering financial ratios help investors to determine whether Camus 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 Camus with respect to the benefits of owning Camus Engineering security.