Qbe Insurance Group Stock Market Value
| QBIEY Stock | USD 11.37 0.22 1.90% |
| Symbol | QBE |
QBE Insurance '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 QBE Insurance's pink sheet 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 QBE Insurance.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in QBE Insurance on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding QBE Insurance Group or generate 0.0% return on investment in QBE Insurance over 30 days. QBE Insurance is related to or competes with Root, Alphabet, Apartment Investment, Cisco Systems, Boeing, McDonalds, and Disney. QBE Insurance Group Limited underwrites general insurance and reinsurance risks More
QBE Insurance 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 QBE Insurance's pink sheet 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 QBE Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.87 | |||
| Information Ratio | 0.0655 | |||
| Maximum Drawdown | 11.9 | |||
| Value At Risk | (2.70) | |||
| Potential Upside | 2.41 |
QBE Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QBE Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QBE Insurance's standard deviation. In reality, there are many statistical measures that can use QBE Insurance historical prices to predict the future QBE Insurance's volatility.| Risk Adjusted Performance | 0.0696 | |||
| Jensen Alpha | 0.1063 | |||
| Total Risk Alpha | 0.0286 | |||
| Sortino Ratio | 0.0631 | |||
| Treynor Ratio | 0.1352 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of QBE Insurance'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.
QBE Insurance Group Backtested Returns
We consider QBE Insurance not too volatile. QBE Insurance Group maintains Sharpe Ratio (i.e., Efficiency) of 0.1, which implies the company had a 0.1% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for QBE Insurance Group, which you can use to evaluate the volatility of the entity. Please check QBE Insurance's coefficient of variation of 1015.08, and Market Risk Adjusted Performance of 0.1452 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. QBE Insurance has a performance score of 8 on a scale of 0 to 100. The firm holds a Beta of 1.24, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, QBE Insurance will likely underperform. QBE Insurance Group now holds a risk of 1.81%. Please check QBE Insurance Group sortino ratio, as well as the relationship between the semi variance and rate of daily change , to decide if QBE Insurance Group will be following its historical price patterns.
Auto-correlation | -0.29 |
Weak reverse predictability
QBE Insurance Group has weak reverse predictability. Overlapping area represents the amount of predictability between QBE Insurance time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 QBE Insurance Group price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current QBE Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
QBE Insurance Group lagged returns against current returns
Autocorrelation, which is QBE Insurance pink sheet'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 QBE Insurance's pink sheet expected returns. We can calculate the autocorrelation of QBE Insurance returns to help us make a trade decision. For example, suppose you find that QBE Insurance has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
QBE Insurance 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 QBE Insurance pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QBE Insurance pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QBE Insurance pink sheet over time.
Current vs Lagged Prices |
| Timeline |
QBE Insurance Lagged Returns
When evaluating QBE Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QBE Insurance pink sheet have on its future price. QBE Insurance 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, QBE Insurance autocorrelation shows the relationship between QBE Insurance pink sheet current value and its past values and can show if there is a momentum factor associated with investing in QBE Insurance Group.
Regressed Prices |
| Timeline |
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Check out QBE Insurance Correlation, QBE Insurance Volatility and QBE Insurance Alpha and Beta module to complement your research on QBE Insurance. Note that the QBE Insurance Group information on this page should be used as a complementary analysis to other QBE Insurance's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for QBE Pink Sheet 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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QBE Insurance technical pink sheet 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, pink sheet market cycles, or different charting patterns.