Telecommunications Fund Investor Fund Market Value
| RYMIX Fund | USD 41.49 0.45 1.10% |
| 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Telecommunications on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Telecommunications Fund Investor or generate 0.0% return on investment in Telecommunications over 30 days. Telecommunications is related to or competes with Technology Fund, Health Care, Financial Services, Banking Fund, and Retailing Fund. 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 Investor upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 3.89 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.15 |
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 | (0.08) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.12) |
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 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.18, which indicates the fund had a -0.18% return per unit of risk over the last 3 months. Telecommunications Fund Investor exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telecommunications' Variance of 0.8255, risk adjusted performance of (0.08), and Coefficient Of Variation of (735.24) to confirm the risk estimate we provide. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. Telecommunications returns are very sensitive to returns on the market. As the market goes up or down, Telecommunications is expected to follow.
Auto-correlation | 0.32 |
Below average predictability
Telecommunications Fund Investor has below average predictability. Overlapping area represents the amount of predictability between Telecommunications time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Telecommunications price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Telecommunications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
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 Investor.
Regressed Prices |
| Timeline |
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 Telecommunications 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, Telecommunications' short interest history, or implied volatility extrapolated from Telecommunications options trading.
Currently Active Assets on Macroaxis
Check out Telecommunications Correlation, Telecommunications Volatility and Telecommunications Alpha and Beta module to complement your research on Telecommunications. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Telecommunications technical mutual fund 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, fund market cycles, or different charting patterns.