New York Times Stock Odds of Future Stock Price Finishing Over 59.70

NYT Stock  USD 52.31  0.26  0.50%   
New York's implied volatility is one of the determining factors in the pricing options written on New York Times. Implied volatility approximates the future value of New York based on the option's current value. Options with high implied volatility have higher premiums and can be used to hedge the downside of investing in New York Times over a specific time period. For example, NYT250117C00049000 is a PUT option contract on New York's common stock with a strick price of 49.0 expiring on 2025-01-17. The contract was not traded in recent days and, as of today, has 14 days remaining before the expiration. The option is currently trading at a bid price of $2.5, and an ask price of $6.4. The implied volatility as of the 3rd of January is 14.0. View All New options

Closest to current price New long PUT Option Payoff at Expiration

New York's future price is the expected price of New York instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of New York Times performance during a given time horizon utilizing its historical volatility. Check out New York Backtesting, New York Valuation, New York Correlation, New York Hype Analysis, New York Volatility, New York History as well as New York Performance.
  
At this time, New York's Price To Sales Ratio is comparatively stable compared to the past year. Price Earnings Ratio is likely to gain to 39.23 in 2025, whereas Price To Free Cash Flows Ratio is likely to drop 20.42 in 2025. Please specify New York's target price for which you would like New York odds to be computed.

New York Target Price Odds to finish over 59.70

The tendency of New Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over $ 59.70  or more in 90 days
 52.31 90 days 59.70 
near 1
Based on a normal probability distribution, the odds of New York to move over $ 59.70  or more in 90 days from now is near 1 (This New York Times probability density function shows the probability of New Stock to fall within a particular range of prices over 90 days) . Probability of New York Times price to stay between its current price of $ 52.31  and $ 59.70  at the end of the 90-day period is about 97.0 .
Considering the 90-day investment horizon New York Times has a beta of -0.59. This indicates as returns on the benchmark increase, returns on holding New York are expected to decrease at a much lower rate. During a bear market, however, New York Times is likely to outperform the market. Additionally New York Times has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   New York Price Density   
       Price  

Predictive Modules for New York

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New York Times. 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 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.
Hype
Prediction
LowEstimatedHigh
50.4052.0553.70
Details
Intrinsic
Valuation
LowRealHigh
51.5953.2354.89
Details
Naive
Forecast
LowNextHigh
49.0450.6952.34
Details
9 Analysts
Consensus
LowTargetHigh
39.6643.5848.37
Details

New York Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. New York is not an exception. The market had few large corrections towards the New York's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold New York Times, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of New York within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.08
β
Beta against Dow Jones-0.59
σ
Overall volatility
1.20
Ir
Information ratio -0.05

New York Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of New York for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for New York Times can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
New York Times generated a negative expected return over the last 90 days
New York Times has 42.91 M in debt with debt to equity (D/E) ratio of 0.05, which may show that the company is not taking advantage of profits from borrowing. New York Times has a current ratio of 0.87, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Note however, debt could still be an excellent tool for New to invest in growth at high rates of return.
Over 90.0% of New York shares are owned by institutional investors
On 31st of December 2024 New York paid $ 0.13 per share dividend to its current shareholders
Latest headline from smh.com.au: Chinese companies have sidestepped Trumps tariffs. They could do it again.

New York Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of New Stock often depends not only on the future outlook of the current and 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 Outstanding165.7 M
Cash And Short Term Investments451.6 M

New York Technical Analysis

New York's future price can be derived by breaking down and analyzing its technical indicators over time. New Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of New York Times. In general, you should focus on analyzing New Stock price patterns and their correlations with different microeconomic environments and drivers.

New York Predictive Forecast Models

New York's time-series forecasting models is one of many New York's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary New York's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about New York Times

Checking the ongoing alerts about New York for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for New York Times help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
New York Times generated a negative expected return over the last 90 days
New York Times has 42.91 M in debt with debt to equity (D/E) ratio of 0.05, which may show that the company is not taking advantage of profits from borrowing. New York Times has a current ratio of 0.87, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Note however, debt could still be an excellent tool for New to invest in growth at high rates of return.
Over 90.0% of New York shares are owned by institutional investors
On 31st of December 2024 New York paid $ 0.13 per share dividend to its current shareholders
Latest headline from smh.com.au: Chinese companies have sidestepped Trumps tariffs. They could do it again.

Additional 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.