QBE Insurance's market value is the price at which a share of QBE Insurance trades on a public exchange. It measures the collective expectations of QBE Insurance Group investors about its performance. QBE Insurance is trading at 11.65 as of the 20th of November 2024. This is a 4.48 percent increase since the beginning of the trading day. The stock's lowest day price was 11.65. With this module, you can estimate the performance of a buy and hold strategy of QBE Insurance Group and determine expected loss or profit from investing in QBE Insurance over a given investment horizon. Check out QBE Insurance Correlation, QBE Insurance Volatility and QBE Insurance Alpha and Beta module to complement your research on QBE Insurance.
Please note, there is a significant difference between QBE Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if QBE Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, QBE Insurance's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
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.
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.
QBE Insurance appears to be somewhat reliable, given 3 months investment horizon. QBE Insurance Group maintains Sharpe Ratio (i.e., Efficiency) of 0.0815, which implies the company had a 0.0815% return per unit of volatility over the last 3 months. We have found twenty 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 (0.26), and Variance of 6.12 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 6. The firm holds a Beta of -0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning QBE Insurance are expected to decrease at a much lower rate. During the bear market, QBE Insurance is likely to outperform the market. Please check QBE Insurance's potential upside, and the relationship between the information ratio and daily balance of power , to make a quick decision on whether QBE Insurance's historical price patterns will revert.
Auto-correlation
-0.43
Modest reverse predictability
QBE Insurance Group has modest reverse predictability. Overlapping area represents the amount of predictability between QBE Insurance time series from 25th of January 2024 to 23rd of June 2024 and 23rd of June 2024 to 20th 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 -0.43 indicates that just about 43.0% of current QBE Insurance price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.43
Spearman Rank Test
0.07
Residual Average
0.0
Price Variance
0.33
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.
QBE Insurance financial ratios help investors to determine whether QBE Pink Sheet 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 QBE with respect to the benefits of owning QBE Insurance security.