Gannett Co Stock Market Value
| GCI Stock | USD 2.50 0.08 3.31% |
| Symbol | Gannett |
Gannett Price To Book Ratio
Is Gannett'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 Gannett. If investors know Gannett 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 Gannett listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.20) | Revenue Per Share 19.075 | Quarterly Revenue Growth (0.08) | Return On Assets 0.0241 | Return On Equity (0.09) |
The market value of Gannett is measured differently than its book value, which is the value of Gannett that is recorded on the company's balance sheet. Investors also form their own opinion of Gannett's value that differs from its market value or its book value, called intrinsic value, which is Gannett'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 Gannett's market value can be influenced by many factors that don't directly affect Gannett'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 Gannett's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gannett is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gannett'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.
Gannett '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 Gannett'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 Gannett.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Gannett on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Gannett Co or generate 0.0% return on investment in Gannett over 30 days. Gannett is related to or competes with News Corp, and Warner Bros. Gannett Co., Inc. operates as a media and marketing solutions company in the United States More
Gannett 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 Gannett'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 Gannett Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.6 | |||
| Information Ratio | 0.0486 | |||
| Maximum Drawdown | 14.8 | |||
| Value At Risk | (5.46) | |||
| Potential Upside | 4.95 |
Gannett Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gannett's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gannett's standard deviation. In reality, there are many statistical measures that can use Gannett historical prices to predict the future Gannett's volatility.| Risk Adjusted Performance | 0.0514 | |||
| Jensen Alpha | 0.1163 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0432 | |||
| Treynor Ratio | 0.1282 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gannett'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.
Gannett Backtested Returns
We consider Gannett risky. Gannett holds Efficiency (Sharpe) Ratio of 0.0403, which attests that the entity had a 0.0403% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Gannett, which you can use to evaluate the volatility of the firm. Please check out Gannett's Risk Adjusted Performance of 0.0514, market risk adjusted performance of 0.1382, and Downside Deviation of 3.6 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. Gannett has a performance score of 3 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 1.67, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Gannett will likely underperform. Gannett right now retains a risk of 3.22%. Please check out Gannett total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to decide if Gannett will be following its current trending patterns.
Auto-correlation | -0.01 |
Very weak reverse predictability
Gannett Co has very weak reverse predictability. Overlapping area represents the amount of predictability between Gannett time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Gannett price movement. The serial correlation of -0.01 indicates that just 1.0% of current Gannett price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Gannett lagged returns against current returns
Autocorrelation, which is Gannett 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 Gannett's stock expected returns. We can calculate the autocorrelation of Gannett returns to help us make a trade decision. For example, suppose you find that Gannett 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 |
Gannett 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 Gannett stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gannett stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gannett stock over time.
Current vs Lagged Prices |
| Timeline |
Gannett Lagged Returns
When evaluating Gannett's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gannett stock have on its future price. Gannett 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, Gannett autocorrelation shows the relationship between Gannett stock current value and its past values and can show if there is a momentum factor associated with investing in Gannett Co.
Regressed Prices |
| Timeline |
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 Gannett 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, Gannett's short interest history, or implied volatility extrapolated from Gannett options trading.
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Try AI Portfolio ArchitectCheck out Gannett Correlation, Gannett Volatility and Gannett Alpha and Beta module to complement your research on Gannett. Note that the Gannett information on this page should be used as a complementary analysis to other Gannett's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for Gannett Stock analysis
When running Gannett's price analysis, check to measure Gannett'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 Gannett is operating at the current time. Most of Gannett's value examination focuses on studying past and present price action to predict the probability of Gannett's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gannett's price. Additionally, you may evaluate how the addition of Gannett to your portfolios can decrease your overall portfolio volatility.
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Gannett technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.