QBE Insurance (Germany) Technical Analysis
| QBE Stock | EUR 11.80 0.20 1.67% |
As of the 23rd of November, QBE Insurance holds the coefficient of variation of 418.79, and Market Risk Adjusted Performance of 3.28. In respect to fundamental indicators, the technical analysis model allows you to check helpful technical drivers of QBE Insurance, as well as the relationship between them. Please check QBE Insurance Group downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if QBE Insurance Group is priced fairly, providing market reflects its current price of 11.8 per share.
QBE Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as QBE, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QBEQBE |
QBE Insurance technical stock 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, stock market cycles, or different charting patterns.
QBE Insurance Group Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 QBE Insurance Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
QBE Insurance Group Trend Analysis
Use this graph to draw trend lines for QBE Insurance Group. You can use it to identify possible trend reversals for QBE Insurance 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 QBE Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.QBE Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for QBE Insurance Group applied against its price change over selected period. The best fit line has a slop of 0.03 , which means QBE Insurance Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 37.75, which is the sum of squared deviations for the predicted QBE Insurance price change compared to its average price change.About QBE Insurance 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 QBE Insurance Group 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 QBE Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on QBE Insurance Group price pattern first instead of the macroeconomic environment surrounding QBE Insurance Group. By analyzing QBE Insurance'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 QBE Insurance'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 QBE Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
QBE Insurance November 23, 2024 Technical Indicators
Most technical analysis of QBE 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 QBE from various momentum indicators to cycle indicators. When you analyze QBE 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 | 0.1863 | |||
| Market Risk Adjusted Performance | 3.28 | |||
| Mean Deviation | 0.9709 | |||
| Semi Deviation | 0.7647 | |||
| Downside Deviation | 1.41 | |||
| Coefficient Of Variation | 418.79 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.73 | |||
| Information Ratio | 0.1554 | |||
| Jensen Alpha | 0.2944 | |||
| Total Risk Alpha | 0.1323 | |||
| Sortino Ratio | 0.1449 | |||
| Treynor Ratio | 3.27 | |||
| Maximum Drawdown | 6.06 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 2.59 | |||
| Downside Variance | 1.98 | |||
| Semi Variance | 0.5848 | |||
| Expected Short fall | (1.38) | |||
| Skewness | 0.5993 | |||
| Kurtosis | 2.28 |
Complementary Tools for QBE Stock analysis
When running QBE Insurance's price analysis, check to measure QBE Insurance'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 QBE Insurance is operating at the current time. Most of QBE Insurance's value examination focuses on studying past and present price action to predict the probability of QBE Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QBE Insurance's price. Additionally, you may evaluate how the addition of QBE Insurance to your portfolios can decrease your overall portfolio volatility.
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