New York Times Stock Market Value
| NYT Stock | USD 43.22 0.07 0.16% |
| Symbol | New |
New York Times Price To Book Ratio
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.
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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in New York on March 25, 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, John Wiley, Gannett, and Pearson Plc. 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.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 1.29 |
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 | (0.06) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (0.25) |
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
New York Times has Sharpe Ratio of -0.14, which conveys that the firm had a -0.14% return per unit of risk over the last 3 months. New York exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify New York's Risk Adjusted Performance of (0.06), mean deviation of 0.9072, and Standard Deviation of 1.38 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.61, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding New York is expected to be smaller as well. New York Times has an expected return of -0.19%. Please make sure to verify New York Times value at risk and rate of daily change , to decide if New York Times performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.81 |
Very good predictability
New York Times has very good predictability. Overlapping area represents the amount of predictability between New York time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 0.81 indicates that around 81.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.5 |
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 |
New York Investors Sentiment
The influence of New York's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in New. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
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.
New York's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for New York's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average New York's news discussions. The higher the estimated score, the more favorable is the investor's outlook on New York.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards New York in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, New York's short interest history, or implied volatility extrapolated from New York options trading.
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Try AI Portfolio ArchitectCheck out New York Correlation, New York Volatility and New York Alpha and Beta module to complement your research on New York. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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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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