Hackett Stock Forecast - Naive Prediction

HCKT Stock  USD 30.96  0.28  0.91%   
The Naive Prediction forecasted value of The Hackett Group on the next trading day is expected to be 29.22 with a mean absolute deviation of 0.71 and the sum of the absolute errors of 43.52. Hackett Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to gain to 21.70 in 2024, whereas Payables Turnover is likely to drop 17.52 in 2024. . Common Stock Shares Outstanding is likely to gain to about 30 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 34.5 M in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Hackett's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
1998-06-30
Previous Quarter
19.1 M
Current Value
10 M
Quarterly Volatility
16.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Hackett is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of The Hackett Group value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Hackett Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of The Hackett Group on the next trading day is expected to be 29.22 with a mean absolute deviation of 0.71, mean absolute percentage error of 0.96, and the sum of the absolute errors of 43.52.
Please note that although there have been many attempts to predict Hackett 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 Hackett's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hackett Stock Forecast Pattern

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Hackett Forecasted Value

In the context of forecasting Hackett'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. Hackett's downside and upside margins for the forecasting period are 26.55 and 31.89, respectively. We have considered Hackett'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
30.96
29.22
Expected Value
31.89
Upside

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 Hackett stock data series using in forecasting. Note that when a statistical model is used to represent Hackett 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 Criteria118.0741
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7135
MAPEMean absolute percentage error0.0265
SAESum of the absolute errors43.5206
This model is not at all useful as a medium-long range forecasting tool of The Hackett Group. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Hackett. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Hackett

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hackett Group. 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
28.3230.9933.66
Details
Intrinsic
Valuation
LowRealHigh
26.6029.2731.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
30.2630.5330.80
Details
3 Analysts
Consensus
LowTargetHigh
24.5727.0029.97
Details

Other Forecasting Options for Hackett

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

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

Hackett Group 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 Hackett'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 Hackett's current price.

Hackett Market Strength Events

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

Hackett Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Hackett Stock Analysis

When running Hackett's price analysis, check to measure Hackett'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 Hackett is operating at the current time. Most of Hackett's value examination focuses on studying past and present price action to predict the probability of Hackett's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hackett's price. Additionally, you may evaluate how the addition of Hackett to your portfolios can decrease your overall portfolio volatility.