Telecom Argentina (Argentina) Market Value
| TECO2 Stock | ARS 1,601 28.05 1.72% |
| Symbol | Telecom |
Telecom Argentina '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 Telecom Argentina'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 Telecom Argentina.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Telecom Argentina on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Telecom Argentina or generate 0.0% return on investment in Telecom Argentina over 30 days. Telecom Argentina is related to or competes with United States, Harmony Gold, and Agrometal SAI. Telecom Argentina S.A., together with its subsidiaries, provides telecommunications services in Argentina and internatio... More
Telecom Argentina 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 Telecom Argentina'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 Telecom Argentina upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.68 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 19.16 | |||
| Value At Risk | (6.22) | |||
| Potential Upside | 8.08 |
Telecom Argentina Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecom Argentina's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecom Argentina's standard deviation. In reality, there are many statistical measures that can use Telecom Argentina historical prices to predict the future Telecom Argentina's volatility.| Risk Adjusted Performance | 0.0177 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0487 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telecom Argentina'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.
Telecom Argentina Backtested Returns
Telecom Argentina owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0726, which indicates the firm had a -0.0726% return per unit of risk over the last 3 months. Telecom Argentina exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telecom Argentina's Risk Adjusted Performance of 0.0177, semi deviation of 3.62, and Coefficient Of Variation of 6826.25 to confirm the risk estimate we provide. The entity has a beta of 1.06, which indicates a somewhat significant risk relative to the market. Telecom Argentina returns are very sensitive to returns on the market. As the market goes up or down, Telecom Argentina is expected to follow. Telecom Argentina has an expected return of -0.29%. Please make sure to validate Telecom Argentina jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if Telecom Argentina performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.08 |
Very weak reverse predictability
Telecom Argentina has very weak reverse predictability. Overlapping area represents the amount of predictability between Telecom Argentina 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 Telecom Argentina price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Telecom Argentina price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 3746.24 |
Telecom Argentina lagged returns against current returns
Autocorrelation, which is Telecom Argentina 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 Telecom Argentina's stock expected returns. We can calculate the autocorrelation of Telecom Argentina returns to help us make a trade decision. For example, suppose you find that Telecom Argentina 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 |
Telecom Argentina 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 Telecom Argentina stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telecom Argentina stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telecom Argentina stock over time.
Current vs Lagged Prices |
| Timeline |
Telecom Argentina Lagged Returns
When evaluating Telecom Argentina's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telecom Argentina stock have on its future price. Telecom Argentina 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, Telecom Argentina autocorrelation shows the relationship between Telecom Argentina stock current value and its past values and can show if there is a momentum factor associated with investing in Telecom Argentina.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Telecom Argentina Correlation, Telecom Argentina Volatility and Telecom Argentina Alpha and Beta module to complement your research on Telecom Argentina. Note that the Telecom Argentina information on this page should be used as a complementary analysis to other Telecom Argentina'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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Complementary Tools for Telecom Stock analysis
When running Telecom Argentina's price analysis, check to measure Telecom Argentina'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 Telecom Argentina is operating at the current time. Most of Telecom Argentina's value examination focuses on studying past and present price action to predict the probability of Telecom Argentina's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telecom Argentina's price. Additionally, you may evaluate how the addition of Telecom Argentina to your portfolios can decrease your overall portfolio volatility.
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Telecom Argentina 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.