Hennessy Stance Etf Forecast - Simple Regression

STNC Etf  USD 30.51  0.14  0.46%   
The Simple Regression forecasted value of Hennessy Stance ESG on the next trading day is expected to be 30.86 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.82. Hennessy Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hennessy Stance stock prices and determine the direction of Hennessy Stance ESG's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Hennessy Stance's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Hennessy Stance price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Hennessy Stance Simple Regression Price Forecast For the 11th of January 2025

Given 90 days horizon, the Simple Regression forecasted value of Hennessy Stance ESG on the next trading day is expected to be 30.86 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.28, and the sum of the absolute errors of 25.82.
Please note that although there have been many attempts to predict Hennessy Etf 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 Hennessy Stance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hennessy Stance Etf Forecast Pattern

Backtest Hennessy StanceHennessy Stance Price PredictionBuy or Sell Advice 

Hennessy Stance Forecasted Value

In the context of forecasting Hennessy Stance's Etf 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. Hennessy Stance's downside and upside margins for the forecasting period are 30.24 and 31.48, respectively. We have considered Hennessy Stance'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
30.51
30.86
Expected Value
31.48
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Hennessy Stance etf data series using in forecasting. Note that when a statistical model is used to represent Hennessy Stance etf, 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 Criteria116.8281
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4233
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors25.8196
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Hennessy Stance ESG historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Hennessy Stance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hennessy Stance ESG. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
29.8830.5131.14
Details
Intrinsic
Valuation
LowRealHigh
30.0630.6931.32
Details
Bollinger
Band Projection (param)
LowMiddleHigh
29.9830.6731.36
Details

Other Forecasting Options for Hennessy Stance

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

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

Hennessy Stance ESG Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Hennessy Stance'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 Hennessy Stance's current price.

Hennessy Stance Market Strength Events

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

Hennessy Stance Risk Indicators

The analysis of Hennessy Stance'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 Hennessy Stance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hennessy etf 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Hennessy Stance ESG offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Hennessy Stance's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Hennessy Stance Esg Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Hennessy Stance Esg Etf:
Check out Historical Fundamental Analysis of Hennessy Stance to cross-verify your projections.
You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
The market value of Hennessy Stance ESG is measured differently than its book value, which is the value of Hennessy that is recorded on the company's balance sheet. Investors also form their own opinion of Hennessy Stance's value that differs from its market value or its book value, called intrinsic value, which is Hennessy Stance's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Hennessy Stance's market value can be influenced by many factors that don't directly affect Hennessy Stance's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Hennessy Stance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hennessy Stance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hennessy Stance's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.