Telecommunications Portfolio Fidelity Fund Market Value
| FTUTX Fund | USD 56.95 0.28 0.49% |
| Symbol | Telecommunications |
Telecommunications '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 Telecommunications' mutual fund 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 Telecommunications.
| 09/04/2023 |
| 11/27/2024 |
If you would invest 0.00 in Telecommunications on September 4, 2023 and sell it all today you would earn a total of 0.00 from holding Telecommunications Portfolio Fidelity or generate 0.0% return on investment in Telecommunications over 450 days. Telecommunications is related to or competes with Telecommunications, Telecommunications, Telecommunications, Telecommunications, Telecommunications, Telecommunications, and Telecommunications. The fund invests primarily in common stocks More
Telecommunications 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 Telecommunications' mutual fund 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 Telecommunications Portfolio Fidelity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9438 | |||
| Information Ratio | 0.0441 | |||
| Maximum Drawdown | 4.6 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 1.34 |
Telecommunications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telecommunications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telecommunications' standard deviation. In reality, there are many statistical measures that can use Telecommunications historical prices to predict the future Telecommunications' volatility.| Risk Adjusted Performance | 0.1451 | |||
| Jensen Alpha | 0.0964 | |||
| Total Risk Alpha | 0.0174 | |||
| Sortino Ratio | 0.0424 | |||
| Treynor Ratio | 0.3015 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telecommunications' 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.
Telecommunications Backtested Returns
Telecommunications appears to be very steady, given 3 months investment horizon. Telecommunications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the fund had a 0.24% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Telecommunications Portfolio Fidelity, which you can use to evaluate the volatility of the fund. Please review Telecommunications' Semi Deviation of 0.805, coefficient of variation of 532.66, and Risk Adjusted Performance of 0.1451 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Telecommunications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Telecommunications is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
Telecommunications Portfolio Fidelity has good predictability. Overlapping area represents the amount of predictability between Telecommunications time series from 4th of September 2023 to 16th of April 2024 and 16th of April 2024 to 27th of November 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 Telecommunications price movement. The serial correlation of 0.66 indicates that around 66.0% of current Telecommunications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 19.24 |
Telecommunications lagged returns against current returns
Autocorrelation, which is Telecommunications mutual fund'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 Telecommunications' mutual fund expected returns. We can calculate the autocorrelation of Telecommunications returns to help us make a trade decision. For example, suppose you find that Telecommunications has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Telecommunications 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 Telecommunications mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telecommunications mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telecommunications mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Telecommunications Lagged Returns
When evaluating Telecommunications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telecommunications mutual fund have on its future price. Telecommunications 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, Telecommunications autocorrelation shows the relationship between Telecommunications mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Telecommunications Portfolio Fidelity.
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 Telecommunications Mutual Fund
Telecommunications financial ratios help investors to determine whether Telecommunications Mutual Fund 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 Telecommunications with respect to the benefits of owning Telecommunications security.
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