Telecommunications Fund Class Fund Market Value
| RYCSX Fund | USD 39.64 0.12 0.30% |
| 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.
| 01/26/2025 |
| 03/27/2025 |
If you would invest 0.00 in Telecommunications on January 26, 2025 and sell it all today you would earn a total of 0.00 from holding Telecommunications Fund Class or generate 0.0% return on investment in Telecommunications over 60 days. Telecommunications is related to or competes with Government Securities, Fidelity Government, Fidelity Series, Blackrock, Us Government, Sdit Short, and Short-term Government. The fund invests substantially all of its net assets in equity securities of Telecommunications Companies that are trade... 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 Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.1 | |||
| Information Ratio | 0.0261 | |||
| Maximum Drawdown | 4.73 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 1.59 |
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 | 0.03 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | 0.0268 | |||
| Sortino Ratio | 0.0238 | |||
| Treynor Ratio | 0.0305 |
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
At this stage we consider Telecommunications Mutual Fund to be very steady. Telecommunications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0336, which indicates the fund had a 0.0336 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Telecommunications Fund Class, which you can use to evaluate the volatility of the fund. Please validate Telecommunications' Semi Deviation of 1.05, risk adjusted performance of 0.03, and Coefficient Of Variation of 2977.23 to confirm if the risk estimate we provide is consistent with the expected return of 0.0339%. The entity has a beta of 0.78, 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 | -0.62 |
Very good reverse predictability
Telecommunications Fund Class has very good reverse predictability. Overlapping area represents the amount of predictability between Telecommunications time series from 26th of January 2025 to 25th of February 2025 and 25th of February 2025 to 27th of March 2025. 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 -0.62 indicates that roughly 62.0% of current Telecommunications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.39 |
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 Fund Class.
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.| ZLAB | Zai Lab | |
| ASLE | AerSale Corp | |
| ATS | AT S Austria |
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.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins |