News Stock Forecast - Naive Prediction

NWSLV Stock   41.50  2.50  6.41%   
The Naive Prediction forecasted value of News Corporation on the next trading day is expected to be 42.80 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 35.81. News Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast News stock prices and determine the direction of News Corporation's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of News' historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the relative strength index (rsi) of News' share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of News' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with News Corporation, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting News' stock price prediction:
Quarterly Earnings Growth
(0.38)
Quarterly Revenue Growth
(0.09)
Using News hype-based prediction, you can estimate the value of News Corporation from the perspective of News response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of News Corporation on the next trading day is expected to be 42.80 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 35.81.

News after-hype prediction price

    
  AUD 41.5  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of News to cross-verify your projections.

News Additional Predictive Modules

Most predictive techniques to examine News price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for News using various technical indicators. When you analyze News charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A naive forecasting model for News is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of News Corporation value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

News Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of News Corporation on the next trading day is expected to be 42.80 with a mean absolute deviation of 0.59, mean absolute percentage error of 0.49, and the sum of the absolute errors of 35.81.
Please note that although there have been many attempts to predict News 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 News' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

News Stock Forecast Pattern

Backtest NewsNews Price PredictionBuy or Sell Advice 

News Forecasted Value

In the context of forecasting News' 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. News' downside and upside margins for the forecasting period are 41.40 and 44.20, respectively. We have considered News' 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
41.50
42.80
Expected Value
44.20
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of News stock data series using in forecasting. Note that when a statistical model is used to represent News 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 Criteria117.3873
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5871
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors35.814
This model is not at all useful as a medium-long range forecasting tool of News Corporation. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict News. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for News

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as News. 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 News' 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
40.1041.5042.90
Details
Intrinsic
Valuation
LowRealHigh
32.5733.9745.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
35.9538.6841.41
Details

News After-Hype Price Prediction Density Analysis

As far as predicting the price of News at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in News or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of News, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

News Estimiated After-Hype Price Volatility

In the context of predicting News' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on News' historical news coverage. News' after-hype downside and upside margins for the prediction period are 40.10 and 42.90, respectively. We have considered News' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
41.50
41.50
After-hype Price
42.90
Upside
News is very steady at this time. Analysis and calculation of next after-hype price of News is based on 3 months time horizon.

News Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as News is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading News backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with News, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.15 
1.40
 0.00  
  0.01 
9 Events / Month
2 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
41.50
41.50
0.00 
0.00  
Notes

News Hype Timeline

News is now traded for 41.50on Australian Securities Exchange of Australia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. News is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at 0.15%. %. The volatility of related hype on News is about 1649.48%, with the expected price after the next announcement by competition of 41.49. The company has price-to-book ratio of 1.78. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. News has Price/Earnings To Growth (PEG) ratio of 2.18. The entity last dividend was issued on the 12th of September 2023. Assuming the 90 days trading horizon the next forecasted press release will be in about 9 days.
Check out Historical Fundamental Analysis of News to cross-verify your projections.

News Related Hype Analysis

Having access to credible news sources related to News' direct competition is more important than ever and may enhance your ability to predict News' future price movements. Getting to know how News' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how News may potentially react to the hype associated with one of its peers.

Other Forecasting Options for News

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

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

News Market Strength Events

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

News Risk Indicators

The analysis of News' 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 News' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting news 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.

Story Coverage note for News

The number of cover stories for News depends on current market conditions and News' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that News is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about News' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

News Short Properties

News' future price predictability will typically decrease when News' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of News Corporation often depends not only on the future outlook of the potential News' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. News' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding569.5 M
Cash And Short Term Investments2.4 B

Other Information on Investing in News Stock

News financial ratios help investors to determine whether News Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in News with respect to the benefits of owning News security.