Qurate Retail Preferred Stock Forecast - Simple Regression

QRTEP Preferred Stock  USD 40.00  0.12  0.30%   
The Simple Regression forecasted value of Qurate Retail on the next trading day is expected to be 39.88 with a mean absolute deviation of 1.45 and the sum of the absolute errors of 88.39. Qurate Preferred 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 Qurate Retail 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.

Qurate Retail Simple Regression Price Forecast For the 26th of November

Given 90 days horizon, the Simple Regression forecasted value of Qurate Retail on the next trading day is expected to be 39.88 with a mean absolute deviation of 1.45, mean absolute percentage error of 3.29, and the sum of the absolute errors of 88.39.
Please note that although there have been many attempts to predict Qurate Preferred 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 Qurate Retail's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Qurate Retail Preferred Stock Forecast Pattern

Backtest Qurate RetailQurate Retail Price PredictionBuy or Sell Advice 

Qurate Retail Forecasted Value

In the context of forecasting Qurate Retail's Preferred 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. Qurate Retail's downside and upside margins for the forecasting period are 37.89 and 41.87, respectively. We have considered Qurate Retail'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
40.00
39.88
Expected Value
41.87
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 Qurate Retail preferred stock data series using in forecasting. Note that when a statistical model is used to represent Qurate Retail preferred 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 Criteria119.3007
BiasArithmetic mean of the errors None
MADMean absolute deviation1.449
MAPEMean absolute percentage error0.0362
SAESum of the absolute errors88.39
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 Qurate Retail 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 Qurate Retail

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Qurate Retail. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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 Qurate Retail'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
38.0140.0041.99
Details
Intrinsic
Valuation
LowRealHigh
38.2040.1942.18
Details
Bollinger
Band Projection (param)
LowMiddleHigh
40.0040.0040.00
Details

Other Forecasting Options for Qurate Retail

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

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

Qurate Retail Technical and Predictive Analytics

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

Qurate Retail Market Strength Events

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

Qurate Retail Risk Indicators

The analysis of Qurate Retail'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 Qurate Retail's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qurate preferred 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.

Pair Trading with Qurate Retail

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Qurate Retail position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Qurate Retail will appreciate offsetting losses from the drop in the long position's value.

Moving against Qurate Preferred Stock

  0.48EFOI Energy FocuPairCorr
  0.45F-PB Ford MotorPairCorr
The ability to find closely correlated positions to Qurate Retail could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Qurate Retail when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Qurate Retail - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Qurate Retail to buy it.
The correlation of Qurate Retail is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Qurate Retail moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Qurate Retail moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Qurate Retail can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Qurate Preferred Stock Analysis

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