New York Times Stock Price Prediction
| NYT Stock | USD 43.30 0.08 0.19% |
Oversold Vs Overbought
49
Oversold | Overbought |
New York Times stock price prediction is an act of determining the future value of New York shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of New York's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of New York and does not consider all of the tangible or intangible factors available from New York's fundamental data. We analyze noise-free headlines and recent hype associated with New York Times, which may create opportunities for some arbitrage if properly timed.
Below are the key fundamental drivers impacting New York's stock price prediction:Quarterly Earnings Growth 0.564 | EPS Estimate Next Quarter 0.21 | EPS Estimate Current Year 1.68 | EPS Estimate Next Year 1.87 | Wall Street Target Price 46.43 |
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of New York based on different types of headlines from major news networks to social media. The New stock price prediction module provides an analysis of price elasticity to changes in media outlook on New York over a specific investment horizon. Using New York hype-based prediction, you can estimate the value of New York Times from the perspective of New York response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards New York using New York's stock options and short interest. It helps to benchmark the overall future attitude of investors towards New using crowd psychology based on the activity and movement of New York's stock price.
New York Short Interest
A significant increase or decrease in New York's short interest from the previous month could be a good indicator of investor sentiment towards New. Short interest can provide insight into the potential direction of New York stock and how bullish or bearish investors feel about the market overall. An investor who is long New York may also wish to track short interest. As short interest increases, investors should be becoming more worried about New York and may potentially protect profits, hedge New York with its derivative instruments, or be ready for some potential downside.
200 Day MA 43.8792 | Short Percent 0.0334 | Short Ratio 3.89 | Shares Short Prior Month 4.8 M | 50 Day MA 43.3482 |
New York Times Hype to Price Pattern
Investor biases related to New York's public news can be used to forecast risks associated with an investment in New. The trend in average sentiment can be used to explain how an investor holding New can time the market purely based on public headlines and social activities around New York Times. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of New York's market sentiment to its price can help taders to make decisions based on the overall investors consensus about New York.
New York Implied Volatility | 35.01 |
New York's implied volatility exposes the market's sentiment of New York Times stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if New York's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that New York stock will not fluctuate a lot when New York's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in New York. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in New York to buy its stock at a price that has no basis in reality. In that case, they are not buying New because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
New York after-hype prediction price | USD 43.29 |
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.
Prediction based on Rule 16 of the current New contract
Based on the Rule 16, the options market is currently suggesting that New York Times will have an average daily up or down price movement of about 2.19% per day over the life of the 2024-05-17 option contract. With New York trading at USD 43.3, that is roughly USD 0.95 . If you think that the market is fully incorporating New York's daily price movement you should consider acquiring New York Times options at the current volatility level of 35.01%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
New |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York'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.
New York After-Hype Price Prediction Density Analysis
As far as predicting the price of New York 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 New York 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 New York, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
New York Estimiated After-Hype Price Volatility
In the context of predicting New York's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on New York's historical news coverage. New York's after-hype downside and upside margins for the prediction period are 41.89 and 44.69, respectively. We have considered New York's 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
New York is very steady at this time. Analysis and calculation of next after-hype price of New York Times is based on 3 months time horizon.
New York Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as New York is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading New York 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 New York, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.19 | 1.40 | 0.01 | 0.03 | 7 Events / Month | 7 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
43.30 | 43.29 | 0.02 |
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New York Hype Timeline
On the 25th of April New York Times is traded for 43.30. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.03. New is anticipated to decline in value after the next headline, with the price expected to drop to 43.29. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.02%, whereas the daily expected return is now at -0.19%. The volatility of related hype on New York is about 958.9%, with the expected price after the next announcement by competition of 43.27. About 92.0% of the company shares are owned by institutional investors. The book value of New York was now reported as 10.72. The company has Price/Earnings To Growth (PEG) ratio of 2.11. New York Times last dividend was issued on the 1st of April 2024. The entity had 2:1 split on the 2nd of July 1998. Considering the 90-day investment horizon the next anticipated press release will be in about 7 days. Check out New York Basic Forecasting Models to cross-verify your projections.New York Related Hype Analysis
Having access to credible news sources related to New York's direct competition is more important than ever and may enhance your ability to predict New York's future price movements. Getting to know how New York's 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 New York may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FOXA | Fox Corp Class | 0.38 | 10 per month | 1.75 | (0.03) | 2.27 | (2.11) | 9.08 | |
| FWONA | Liberty Media | (1.11) | 8 per month | 1.33 | 0.03 | 2.43 | (2.52) | 10.08 | |
| MCS | Marcus | (0.21) | 10 per month | 0.00 | (0.08) | 2.25 | (1.88) | 6.01 | |
| MSGS | Madison Square Garden | 0.90 | 8 per month | 0.00 | (0.11) | 1.58 | (1.26) | 7.83 | |
| RDIB | Reading International B | (0.90) | 3 per month | 2.09 | 0.02 | 4.01 | (4.04) | 13.37 | |
| RSVR | Reservoir Media | (0.02) | 10 per month | 2.40 | 0.08 | 4.21 | (2.75) | 13.17 | |
| NWSA | News Corp A | (0.18) | 9 per month | 1.19 | (0.04) | 1.89 | (2.22) | 9.12 | |
| BATRA | Atlanta Braves Holdings | 0.59 | 8 per month | 0.00 | (0.14) | 1.72 | (2.06) | 4.93 | |
| FWONK | Liberty Media | (0.65) | 8 per month | 1.18 | 0.04 | 2.56 | (2.18) | 10.41 | |
| BATRK | Atlanta Braves Holdings | (0.26) | 9 per month | 0.00 | (0.14) | 1.89 | (2.03) | 5.30 |
New York Additional Predictive Modules
Most predictive techniques to examine New price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for New using various technical indicators. When you analyze New 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About New York Predictive Indicators
The successful prediction of New York stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as New York Times, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of New York based on analysis of New York hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to New York's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to New York's related companies. | 2017 | 2021 | 2023 | 2024 (projected) | Dividend Yield | 0.008681 | 0.0105 | 0.008608 | 0.008178 | Price To Sales Ratio | 1.79 | 2.35 | 3.33 | 3.49 |
Story Coverage note for New York
The number of cover stories for New York depends on current market conditions and New York's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that New York 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 New York's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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New York Short Properties
New York's future price predictability will typically decrease when New York's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of New York Times often depends not only on the future outlook of the potential New York's 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. New York's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 165.7 M | |
| Cash And Short Term Investments | 451.6 M |
Check out New York Basic Forecasting Models to cross-verify your projections. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for New Stock analysis
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.
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Is New York's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of New York. If investors know New will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.564 | Dividend Share 0.44 | Earnings Share 1.4 | Revenue Per Share 14.565 | Quarterly Revenue Growth 0.015 |
The market value of New York Times is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because New York's market value can be influenced by many factors that don't directly affect New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.