Haivision Systems Stock Forecast - Triple Exponential Smoothing

HAI Stock  CAD 5.05  0.04  0.80%   
The Triple Exponential Smoothing forecasted value of Haivision Systems on the next trading day is expected to be 5.05 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.35. Haivision Stock Forecast is based on your current time horizon. Although Haivision Systems' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Haivision Systems' systematic risk associated with finding meaningful patterns of Haivision Systems fundamentals over time.
  
At this time, Haivision Systems' Inventory Turnover is very stable compared to the past year. As of the 29th of November 2024, Asset Turnover is likely to grow to 1.29, while Payables Turnover is likely to drop 3.31. . As of the 29th of November 2024, Common Stock Shares Outstanding is likely to drop to about 26.1 M. In addition to that, Net Loss is likely to grow to about (5.3 M).
Triple exponential smoothing for Haivision Systems - 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 Haivision Systems 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 Haivision Systems price movement. However, neither of these exponential smoothing models address any seasonality of Haivision Systems.

Haivision Systems Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Haivision Systems on the next trading day is expected to be 5.05 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.04, and the sum of the absolute errors of 7.35.
Please note that although there have been many attempts to predict Haivision 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 Haivision Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Haivision Systems Stock Forecast Pattern

Backtest Haivision SystemsHaivision Systems Price PredictionBuy or Sell Advice 

Haivision Systems Forecasted Value

In the context of forecasting Haivision Systems' 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. Haivision Systems' downside and upside margins for the forecasting period are 1.44 and 8.66, respectively. We have considered Haivision Systems' 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
5.05
5.05
Expected Value
8.66
Upside

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 Haivision Systems stock data series using in forecasting. Note that when a statistical model is used to represent Haivision Systems 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 0.0169
MADMean absolute deviation0.1246
MAPEMean absolute percentage error0.0238
SAESum of the absolute errors7.3497
As with simple exponential smoothing, in triple exponential smoothing models past Haivision Systems 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 Haivision Systems observations.

Predictive Modules for Haivision Systems

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Haivision Systems. 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
1.415.048.67
Details
Intrinsic
Valuation
LowRealHigh
0.884.518.15
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.080.00
Details

Other Forecasting Options for Haivision Systems

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

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

Haivision Systems 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 Haivision Systems' 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 Haivision Systems' current price.

Haivision Systems Market Strength Events

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

Haivision Systems Risk Indicators

The analysis of Haivision Systems' 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 Haivision Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting haivision 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 Haivision Systems

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 Haivision Systems 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 Haivision Systems will appreciate offsetting losses from the drop in the long position's value.

Moving together with Haivision Stock

  0.73AEMC Alaska Energy MetalsPairCorr

Moving against Haivision Stock

  0.47ERC Eros Resources CorpPairCorr
  0.31LQWD LQwD FinTech CorpPairCorr
The ability to find closely correlated positions to Haivision Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Haivision Systems 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 Haivision Systems - 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 Haivision Systems to buy it.
The correlation of Haivision Systems 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 Haivision Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Haivision Systems 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 Haivision Systems 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 Haivision Stock

Haivision Systems financial ratios help investors to determine whether Haivision 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 Haivision with respect to the benefits of owning Haivision Systems security.