Qbe Insurance Group Stock Market Value
QBIEY Stock | USD 12.89 0.12 0.92% |
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.
07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in QBE Insurance on July 5, 2023 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 510 days. QBE Insurance is related to or competes with Progressive Corp, White Mountains, Chubb, W R, and Kinsale Capital. 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 | 1.68 | |||
Information Ratio | 0.076 | |||
Maximum Drawdown | 9.17 | |||
Value At Risk | (2.51) | |||
Potential Upside | 2.53 |
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 | 0.1246 | |||
Jensen Alpha | 0.1627 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | 0.0723 | |||
Treynor Ratio | 0.3673 |
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
QBE Insurance appears to be not too volatile, given 3 months investment horizon. QBE Insurance Group maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the company had a 0.19% 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 evaluate QBE Insurance's market risk adjusted performance of 0.3773, and Coefficient Of Variation of 640.12 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, QBE Insurance holds a performance score of 15. The firm holds a Beta of 0.65, which implies possible diversification benefits within a given portfolio. As returns on the market increase, QBE Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding QBE Insurance is expected to be smaller as well. Please check QBE Insurance's sortino ratio, as well as the relationship between the semi variance and rate of daily change , to make a quick decision on whether QBE Insurance's historical price patterns will revert.
Auto-correlation | 0.49 |
Average predictability
QBE Insurance Group has average predictability. Overlapping area represents the amount of predictability between QBE Insurance time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th of November 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 0.49 indicates that about 49.0% of current QBE Insurance price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.49 | |
Spearman Rank Test | 0.27 | |
Residual Average | 0.0 | |
Price Variance | 0.26 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional 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.