Global Real Estate Fund Technical Analysis
| POSAX Fund | USD 9.22 0.03 0.32% |
As of the 30th of November, Global Real retains the Market Risk Adjusted Performance of (0.03), risk adjusted performance of 0.0019, and Downside Deviation of 0.8333. Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of Global Real Estate, as well as the relationship between them.
Global Real Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Global, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GlobalGlobal |
Global Real 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.
Global Real Estate Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Global Real Estate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Global Real Estate Trend Analysis
Use this graph to draw trend lines for Global Real Estate. You can use it to identify possible trend reversals for Global Real as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Global Real price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Global Real Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Global Real Estate applied against its price change over selected period. The best fit line has a slop of 0.0089 , which may suggest that Global Real Estate market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.96, which is the sum of squared deviations for the predicted Global Real price change compared to its average price change.About Global Real Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Global Real Estate on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Global Real Estate based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Global Real Estate price pattern first instead of the macroeconomic environment surrounding Global Real Estate. By analyzing Global Real's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Global Real's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Global Real specific price patterns or momentum indicators. Please read more on our technical analysis page.
Global Real November 30, 2024 Technical Indicators
Most technical analysis of Global help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Global from various momentum indicators to cycle indicators. When you analyze Global charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0019 | |||
| Market Risk Adjusted Performance | (0.03) | |||
| Mean Deviation | 0.5577 | |||
| Semi Deviation | 0.7269 | |||
| Downside Deviation | 0.8333 | |||
| Coefficient Of Variation | 28635.77 | |||
| Standard Deviation | 0.7076 | |||
| Variance | 0.5007 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | (0.04) | |||
| Maximum Drawdown | 3.21 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.07 | |||
| Downside Variance | 0.6944 | |||
| Semi Variance | 0.5284 | |||
| Expected Short fall | (0.60) | |||
| Skewness | (0.48) | |||
| Kurtosis | 0.1653 |
Global Real Estate One Year Return
Based on the recorded statements, Global Real Estate has an One Year Return of 18.0035%. This is 26.49% lower than that of the Principal Funds family and significantly higher than that of the Global Real Estate category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in Global Mutual Fund
Global Real financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Real security.
| CEOs Directory Screen CEOs from public companies around the world | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |