Hartford Multifactor Etf Forecast - Simple Regression

ROUS Etf  USD 54.29  0.21  0.39%   
The Simple Regression forecasted value of Hartford Multifactor Equity on the next trading day is expected to be 53.86 with a mean absolute deviation of 0.53 and the sum of the absolute errors of 32.82. Hartford Etf Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Hartford Multifactor 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.

Hartford Multifactor Simple Regression Price Forecast For the 1st of December

Given 90 days horizon, the Simple Regression forecasted value of Hartford Multifactor Equity on the next trading day is expected to be 53.86 with a mean absolute deviation of 0.53, mean absolute percentage error of 0.38, and the sum of the absolute errors of 32.82.
Please note that although there have been many attempts to predict Hartford 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 Hartford Multifactor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hartford Multifactor Etf Forecast Pattern

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Hartford Multifactor Forecasted Value

In the context of forecasting Hartford Multifactor'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. Hartford Multifactor's downside and upside margins for the forecasting period are 53.16 and 54.56, respectively. We have considered Hartford Multifactor'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
54.29
53.86
Expected Value
54.56
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 Hartford Multifactor etf data series using in forecasting. Note that when a statistical model is used to represent Hartford Multifactor 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 Criteria118.9875
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5293
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors32.8196
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 Hartford Multifactor Equity 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 Hartford Multifactor

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hartford Multifactor. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Multifactor'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
53.6054.3055.00
Details
Intrinsic
Valuation
LowRealHigh
52.9753.6754.37
Details
Bollinger
Band Projection (param)
LowMiddleHigh
51.9953.4854.97
Details

Other Forecasting Options for Hartford Multifactor

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

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

Hartford Multifactor 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 Hartford Multifactor'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 Hartford Multifactor's current price.

Hartford Multifactor Market Strength Events

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

Hartford Multifactor Risk Indicators

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

Thematic Opportunities

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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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When determining whether Hartford Multifactor is a strong investment it is important to analyze Hartford Multifactor's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hartford Multifactor's future performance. For an informed investment choice regarding Hartford Etf, refer to the following important reports:
Check out Historical Fundamental Analysis of Hartford Multifactor to cross-verify your projections.
You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
The market value of Hartford Multifactor is measured differently than its book value, which is the value of Hartford that is recorded on the company's balance sheet. Investors also form their own opinion of Hartford Multifactor's value that differs from its market value or its book value, called intrinsic value, which is Hartford Multifactor'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 Hartford Multifactor's market value can be influenced by many factors that don't directly affect Hartford Multifactor'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 Hartford Multifactor's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hartford Multifactor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hartford Multifactor'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.