Hartford Financial Stock Forecast - Simple Regression

HFF Stock   105.00  2.00  1.94%   
The Simple Regression forecasted value of The Hartford Financial on the next trading day is expected to be 109.88 with a mean absolute deviation of 3.77 and the sum of the absolute errors of 229.89. Hartford Stock 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 Financial 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 Financial Simple Regression Price Forecast For the 25th of December

Given 90 days horizon, the Simple Regression forecasted value of The Hartford Financial on the next trading day is expected to be 109.88 with a mean absolute deviation of 3.77, mean absolute percentage error of 19.41, and the sum of the absolute errors of 229.89.
Please note that although there have been many attempts to predict Hartford 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 Hartford Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hartford Financial Stock Forecast Pattern

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Hartford Financial Forecasted Value

In the context of forecasting Hartford Financial'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. Hartford Financial's downside and upside margins for the forecasting period are 108.22 and 111.54, respectively. We have considered Hartford Financial'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
105.00
108.22
Downside
109.88
Expected Value
111.54
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 Financial stock data series using in forecasting. Note that when a statistical model is used to represent Hartford Financial 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 Criteria121.0765
BiasArithmetic mean of the errors None
MADMean absolute deviation3.7686
MAPEMean absolute percentage error0.0349
SAESum of the absolute errors229.8859
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 The Hartford Financial 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 Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as The Hartford Financial. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hartford Financial'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
103.37105.00106.63
Details
Intrinsic
Valuation
LowRealHigh
94.50106.76108.39
Details

Other Forecasting Options for Hartford Financial

For every potential investor in Hartford, whether a beginner or expert, Hartford Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hartford Stock 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 Financial's price trends.

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

The Hartford Financial 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 Hartford Financial'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 Financial's current price.

Hartford Financial Market Strength Events

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

Hartford Financial Risk Indicators

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

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