Nordstrom Stock Forecast - Simple Regression

JWNDelisted Stock  USD 24.66  0.03  0.12%   
The Simple Regression forecasted value of Nordstrom on the next trading day is expected to be 24.31 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.35. Nordstrom 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 Nordstrom 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.

Nordstrom Simple Regression Price Forecast For the 20th of December

Given 90 days horizon, the Simple Regression forecasted value of Nordstrom on the next trading day is expected to be 24.31 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.35.
Please note that although there have been many attempts to predict Nordstrom 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 Nordstrom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nordstrom Stock Forecast Pattern

Backtest NordstromNordstrom Price PredictionBuy or Sell Advice 

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 Nordstrom stock data series using in forecasting. Note that when a statistical model is used to represent Nordstrom 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 Criteria115.6652
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2188
MAPEMean absolute percentage error0.0091
SAESum of the absolute errors13.3469
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 Nordstrom 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 Nordstrom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nordstrom. 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 Nordstrom'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
24.6624.6624.66
Details
Intrinsic
Valuation
LowRealHigh
20.6320.6327.13
Details
Bollinger
Band Projection (param)
LowMiddleHigh
23.5824.1924.80
Details

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

Nordstrom Market Strength Events

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

Pair Trading with Nordstrom

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 Nordstrom 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 Nordstrom will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Nordstrom could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Nordstrom 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 Nordstrom - 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 Nordstrom to buy it.
The correlation of Nordstrom 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 Nordstrom moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Nordstrom 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 Nordstrom 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
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Consideration for investing in Nordstrom Stock

If you are still planning to invest in Nordstrom check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Nordstrom's history and understand the potential risks before investing.
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