Mobile Telecommunications Ultrasector Fund Market Value
WCPIX Fund | USD 150.71 1.24 0.83% |
Symbol | Mobile |
Mobile Telecommunicatio '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 Mobile Telecommunicatio's 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 Mobile Telecommunicatio.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Mobile Telecommunicatio on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Mobile Telecommunications Ultrasector or generate 0.0% return on investment in Mobile Telecommunicatio over 30 days. Mobile Telecommunicatio is related to or competes with State Farm, Short Real, Real Estate, Real Estate, Short Real, Ultrashort Mid, and Ultrashort Mid. The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns ... More
Mobile Telecommunicatio 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 Mobile Telecommunicatio's 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 Mobile Telecommunications Ultrasector upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.3 | |||
Information Ratio | 0.0955 | |||
Maximum Drawdown | 8.33 | |||
Value At Risk | (2.16) | |||
Potential Upside | 2.36 |
Mobile Telecommunicatio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mobile Telecommunicatio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mobile Telecommunicatio's standard deviation. In reality, there are many statistical measures that can use Mobile Telecommunicatio historical prices to predict the future Mobile Telecommunicatio's volatility.Risk Adjusted Performance | 0.1101 | |||
Jensen Alpha | 0.3011 | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | 0.1077 | |||
Treynor Ratio | (0.89) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Telecommunicatio's 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.
Mobile Telecommunicatio Backtested Returns
Mobile Telecommunicatio appears to be very steady, given 3 months investment horizon. Mobile Telecommunicatio has Sharpe Ratio of 0.19, which conveys that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mobile Telecommunicatio, which you can use to evaluate the volatility of the fund. Please exercise Mobile Telecommunicatio's Mean Deviation of 1.08, downside deviation of 1.3, and Risk Adjusted Performance of 0.1101 to check out if our risk estimates are consistent with your expectations. The fund secures a Beta (Market Risk) of -0.3, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mobile Telecommunicatio are expected to decrease at a much lower rate. During the bear market, Mobile Telecommunicatio is likely to outperform the market.
Auto-correlation | 0.07 |
Virtually no predictability
Mobile Telecommunications Ultrasector has virtually no predictability. Overlapping area represents the amount of predictability between Mobile Telecommunicatio 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 Mobile Telecommunicatio price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Mobile Telecommunicatio price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.07 | |
Spearman Rank Test | 0.34 | |
Residual Average | 0.0 | |
Price Variance | 3.84 |
Mobile Telecommunicatio lagged returns against current returns
Autocorrelation, which is Mobile Telecommunicatio 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 Mobile Telecommunicatio's mutual fund expected returns. We can calculate the autocorrelation of Mobile Telecommunicatio returns to help us make a trade decision. For example, suppose you find that Mobile Telecommunicatio 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 |
Mobile Telecommunicatio 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 Mobile Telecommunicatio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mobile Telecommunicatio mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mobile Telecommunicatio mutual fund over time.
Current vs Lagged Prices |
Timeline |
Mobile Telecommunicatio Lagged Returns
When evaluating Mobile Telecommunicatio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mobile Telecommunicatio mutual fund have on its future price. Mobile Telecommunicatio 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, Mobile Telecommunicatio autocorrelation shows the relationship between Mobile Telecommunicatio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mobile Telecommunications Ultrasector.
Regressed Prices |
Timeline |
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Check out Mobile Telecommunicatio Correlation, Mobile Telecommunicatio Volatility and Mobile Telecommunicatio Alpha and Beta module to complement your research on Mobile Telecommunicatio. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Mobile Mutual Fund analysis
When running Mobile Telecommunicatio's price analysis, check to measure Mobile Telecommunicatio's 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 Mobile Telecommunicatio is operating at the current time. Most of Mobile Telecommunicatio's value examination focuses on studying past and present price action to predict the probability of Mobile Telecommunicatio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Telecommunicatio's price. Additionally, you may evaluate how the addition of Mobile Telecommunicatio to your portfolios can decrease your overall portfolio volatility.
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Mobile Telecommunicatio 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.