New York Times Stock Market Value
| NYT Stock | USD 55.07 0.91 1.68% |
| Symbol | New |
New York Times Price To Book Ratio
Is Publishing space 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 0.219 | Dividend Share 0.5 | Earnings Share 1.69 | Revenue Per Share 15.248 | Quarterly Revenue Growth 0.071 |
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.
New York 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to New York's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of New York.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in New York on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding New York Times or generate 0.0% return on investment in New York over 30 days. New York is related to or competes with Lee Enterprises, Scholastic, Pearson PLC, John Wiley, Gannett, and Dallasnews Corp. The New York Times Company, together with its subsidiaries, provides news and information for readers and viewers across... More
New York Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure New York's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess New York Times upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.78 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 9.74 | |||
| Value At Risk | (2.23) | |||
| Potential Upside | 1.77 |
New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New York's standard deviation. In reality, there are many statistical measures that can use New York historical prices to predict the future New York's volatility.| Risk Adjusted Performance | 0.0079 | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) |
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 Times Backtested Returns
Currently, New York Times is very steady. New York Times has Sharpe Ratio of 0.0061, which conveys that the firm had a 0.0061% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for New York, which you can use to evaluate the volatility of the firm. Please verify New York's Mean Deviation of 0.9973, risk adjusted performance of 0.0079, and Downside Deviation of 1.78 to check out if the risk estimate we provide is consistent with the expected return of 0.0097%. The company secures a Beta (Market Risk) of 1.14, which conveys a somewhat significant risk relative to the market. New York returns are very sensitive to returns on the market. As the market goes up or down, New York is expected to follow. New York Times right now secures a risk of 1.6%. Please verify New York Times sortino ratio, semi variance, as well as the relationship between the Semi Variance and rate of daily change , to decide if New York Times will be following its current price movements.
Auto-correlation | 0.33 |
Below average predictability
New York Times has below average predictability. Overlapping area represents the amount of predictability between New York time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of New York Times price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 1.37 |
New York Times lagged returns against current returns
Autocorrelation, which is New York stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting New York's stock expected returns. We can calculate the autocorrelation of New York returns to help us make a trade decision. For example, suppose you find that New York has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
New York regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If New York stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New York stock over time.
Current vs Lagged Prices |
| Timeline |
New York Lagged Returns
When evaluating New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New York stock have on its future price. New York autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, New York autocorrelation shows the relationship between New York stock current value and its past values and can show if there is a momentum factor associated with investing in New York Times.
Regressed Prices |
| Timeline |
Thematic Opportunities
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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.