Genworth Financial Stock Forecast - Simple Regression

GNW Stock  MXN 101.80  0.00  0.00%   
The Simple Regression forecasted value of Genworth Financial on the next trading day is expected to be 101.80 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Genworth 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 Genworth 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.

Genworth Financial Simple Regression Price Forecast For the 24th of November

Given 90 days horizon, the Simple Regression forecasted value of Genworth Financial on the next trading day is expected to be 101.80 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Genworth 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 Genworth Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Genworth Financial Stock Forecast Pattern

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Genworth Financial Forecasted Value

In the context of forecasting Genworth 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. Genworth Financial's downside and upside margins for the forecasting period are 101.80 and 101.80, respectively. We have considered Genworth 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
101.80
101.80
Downside
101.80
Expected Value
101.80
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 Genworth Financial stock data series using in forecasting. Note that when a statistical model is used to represent Genworth 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 Criteria59.6471
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
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 Genworth 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 Genworth 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 Genworth 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.
Hype
Prediction
LowEstimatedHigh
101.80101.80101.80
Details
Intrinsic
Valuation
LowRealHigh
101.80101.80101.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
101.80101.80101.80
Details

Other Forecasting Options for Genworth Financial

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

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

Genworth 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 Genworth 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 Genworth Financial's current price.

Genworth Financial Market Strength Events

Market strength indicators help investors to evaluate how Genworth 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 Genworth Financial shares will generate the highest return on investment. By undertsting and applying Genworth Financial stock market strength indicators, traders can identify Genworth Financial entry and exit signals to maximize returns.

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.

Additional Tools for Genworth Stock Analysis

When running Genworth Financial's price analysis, check to measure Genworth 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 Genworth Financial is operating at the current time. Most of Genworth Financial's value examination focuses on studying past and present price action to predict the probability of Genworth 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 Genworth Financial's price. Additionally, you may evaluate how the addition of Genworth Financial to your portfolios can decrease your overall portfolio volatility.