Telecom Italia Capital Market Value
| 87927VAR9 | 102.55 0.68 0.66% |
| Symbol | Telecom |
Telecom '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's bond 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.
| 11/19/2024 |
| 12/19/2024 |
If you would invest 0.00 in Telecom on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding Telecom Italia Capital or generate 0.0% return on investment in Telecom over 30 days. Telecom is related to or competes with KLA Tencor, Everspin Technologies, Joint Corp, Tower Semiconductor, Tandem Diabetes, Valens, and ON Semiconductor. More
Telecom 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's bond 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 Italia Capital upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 15.33 | |||
| Value At Risk | (3.66) | |||
| Potential Upside | 1.34 |
Telecom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecom's standard deviation. In reality, there are many statistical measures that can use Telecom historical prices to predict the future Telecom's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (0.34) |
Telecom Italia Capital Backtested Returns
Telecom Italia Capital owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the bond had a -0.13% return per unit of risk over the last 3 months. Telecom Italia Capital exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telecom's Coefficient Of Variation of (1,081), variance of 7.95, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 0.8, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Telecom's returns are expected to increase less than the market. However, during the bear market, the loss of holding Telecom is expected to be smaller as well.
Auto-correlation | -0.64 |
Very good reverse predictability
Telecom Italia Capital has very good reverse predictability. Overlapping area represents the amount of predictability between Telecom time series from 19th of November 2024 to 4th of December 2024 and 4th of December 2024 to 19th of December 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 Italia Capital price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Telecom price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Telecom Italia Capital lagged returns against current returns
Autocorrelation, which is Telecom bond'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's bond expected returns. We can calculate the autocorrelation of Telecom returns to help us make a trade decision. For example, suppose you find that Telecom has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telecom bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telecom bond over time.
Current vs Lagged Prices |
| Timeline |
Telecom Lagged Returns
When evaluating Telecom's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telecom bond have on its future price. Telecom 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 autocorrelation shows the relationship between Telecom bond current value and its past values and can show if there is a momentum factor associated with investing in Telecom Italia Capital.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Telecom Bond
Telecom financial ratios help investors to determine whether Telecom Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Telecom with respect to the benefits of owning Telecom security.