Telephone And Data Stock Market Value
| TDS Stock | USD 16.07 0.36 2.29% |
| Symbol | Telephone |
Telephone and Data Price To Book Ratio
Is Telephone'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 Telephone. If investors know Telephone 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 Telephone 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 (0.12) | Dividend Share 0.74 | Earnings Share (5.06) | Revenue Per Share 45.664 | Quarterly Revenue Growth (0.03) |
The market value of Telephone and Data is measured differently than its book value, which is the value of Telephone that is recorded on the company's balance sheet. Investors also form their own opinion of Telephone's value that differs from its market value or its book value, called intrinsic value, which is Telephone'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 Telephone's market value can be influenced by many factors that don't directly affect Telephone'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 Telephone's value and its price as these two are different measures arrived at by different means. Investors typically determine if Telephone is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Telephone'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.
Telephone '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 Telephone'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 Telephone.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Telephone on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Telephone and Data or generate 0.0% return on investment in Telephone over 30 days. Telephone is related to or competes with Liberty Broadband, Liberty Broadband, KT, Telkom Indonesia, Telefonica, Orange SA, and Telefonica Brasil. Telephone and Data Systems, Inc., a telecommunications company, provides communications services in the United States More
Telephone 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 Telephone'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 Telephone and Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 29.63 | |||
| Value At Risk | (3.63) | |||
| Potential Upside | 3.46 |
Telephone Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telephone's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telephone's standard deviation. In reality, there are many statistical measures that can use Telephone historical prices to predict the future Telephone's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telephone'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.
Telephone and Data Backtested Returns
Telephone and Data owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0724, which indicates the firm had a -0.0724% return per unit of risk over the last 3 months. Telephone and Data exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telephone's Risk Adjusted Performance of (0.02), coefficient of variation of (2,485), and Variance of 13.77 to confirm the risk estimate we provide. The entity has a beta of 1.5, which indicates 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, Telephone will likely underperform. Telephone and Data has an expected return of -0.26%. Please make sure to validate Telephone total risk alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Telephone and Data performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.33 |
Poor reverse predictability
Telephone and Data has poor reverse predictability. Overlapping area represents the amount of predictability between Telephone time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Telephone and Data price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Telephone price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Telephone and Data lagged returns against current returns
Autocorrelation, which is Telephone 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 Telephone's stock expected returns. We can calculate the autocorrelation of Telephone returns to help us make a trade decision. For example, suppose you find that Telephone 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 |
Telephone 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 Telephone stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telephone stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telephone stock over time.
Current vs Lagged Prices |
| Timeline |
Telephone Lagged Returns
When evaluating Telephone's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telephone stock have on its future price. Telephone 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, Telephone autocorrelation shows the relationship between Telephone stock current value and its past values and can show if there is a momentum factor associated with investing in Telephone and Data.
Regressed Prices |
| Timeline |
Telephone Investors Sentiment
The influence of Telephone'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 Telephone. 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 Telephone's public news can be used to forecast risks associated with an investment in Telephone. The trend in average sentiment can be used to explain how an investor holding Telephone can time the market purely based on public headlines and social activities around Telephone and Data. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Telephone'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 Telephone'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 Telephone's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Telephone.
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 Telephone 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, Telephone's short interest history, or implied volatility extrapolated from Telephone options trading.
Currently Active Assets on Macroaxis
When determining whether Telephone and Data is a strong investment it is important to analyze Telephone's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Telephone's future performance. For an informed investment choice regarding Telephone Stock, refer to the following important reports:Check out Telephone Correlation, Telephone Volatility and Telephone Alpha and Beta module to complement your research on Telephone. Note that the Telephone and Data information on this page should be used as a complementary analysis to other Telephone'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 Stocks Directory module to find actively traded stocks across global markets.
Complementary Tools for Telephone Stock analysis
When running Telephone's price analysis, check to measure Telephone'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 Telephone is operating at the current time. Most of Telephone's value examination focuses on studying past and present price action to predict the probability of Telephone's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telephone's price. Additionally, you may evaluate how the addition of Telephone to your portfolios can decrease your overall portfolio volatility.
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Telephone 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.