Telecommunications Fund Class Fund Market Value
RYTLX Fund | USD 39.13 0.53 1.37% |
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.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Telecommunications on February 27, 2024 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 30 days. Telecommunications is related to or competes with USCF Gold, Basic Materials, Basic Materials, Banking Fund, Basic Materials, Sp Midcap, and Basic Materials. 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.
Information Ratio | (0.17) | |||
Maximum Drawdown | 3.91 | |||
Value At Risk | (1.60) | |||
Potential Upside | 1.18 |
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) | |||
Jensen Alpha | (0.15) | |||
Total Risk Alpha | (0.21) | |||
Treynor Ratio | (0.02) |
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 Fund Backtested Returns
Telecommunications Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0368, which indicates the fund had a -0.0368% return per unit of risk over the last 3 months. Telecommunications Fund Class exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telecommunications' Coefficient Of Variation of (10,755), risk adjusted performance of (0), and Variance of 0.732 to confirm the risk estimate we provide. The entity has a beta of 1.05, 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 | 0.04 |
Virtually no predictability
Telecommunications Fund Class has virtually no predictability. Overlapping area represents the amount of predictability between Telecommunications time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Fund price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Telecommunications price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.04 | |
Spearman Rank Test | -0.17 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
Telecommunications Fund 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 |
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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary Tools for Telecommunications Mutual Fund analysis
When running Telecommunications' price analysis, check to measure Telecommunications' 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 Telecommunications is operating at the current time. Most of Telecommunications' value examination focuses on studying past and present price action to predict the probability of Telecommunications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telecommunications' price. Additionally, you may evaluate how the addition of Telecommunications to your portfolios can decrease your overall portfolio volatility.
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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.