Qantas Airways Limited Stock Market Value
| QUBSF Stock | USD 5.40 0.00 0.00% |
| Symbol | Qantas |
Qantas Airways '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 Qantas Airways' 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 Qantas Airways.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in Qantas Airways on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding Qantas Airways Limited or generate 0.0% return on investment in Qantas Airways over 720 days. Qantas Airways is related to or competes with Finnair Oyj, EasyJet Plc, Norse Atlantic, Air New, Air China, Air France-KLM, and China Southern. Qantas Airways Limited provides air transportation services in Australia and internationally More
Qantas Airways 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 Qantas Airways' 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 Qantas Airways Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1851 | |||
| Maximum Drawdown | 16.57 | |||
| Potential Upside | 4.76 |
Qantas Airways Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qantas Airways' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qantas Airways' standard deviation. In reality, there are many statistical measures that can use Qantas Airways historical prices to predict the future Qantas Airways' volatility.| Risk Adjusted Performance | 0.1902 | |||
| Jensen Alpha | 0.5665 | |||
| Total Risk Alpha | 0.1944 | |||
| Treynor Ratio | (1.72) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qantas Airways' 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.
Qantas Airways Backtested Returns
Qantas Airways appears to be somewhat reliable, given 3 months investment horizon. Qantas Airways maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the firm had a 0.21% return per unit of risk over the last 3 months. We have found seventeen technical indicators for Qantas Airways, which you can use to evaluate the volatility of the company. Please evaluate Qantas Airways' Coefficient Of Variation of 416.1, variance of 5.07, and Risk Adjusted Performance of 0.1902 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Qantas Airways holds a performance score of 16. The company holds a Beta of -0.31, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Qantas Airways are expected to decrease at a much lower rate. During the bear market, Qantas Airways is likely to outperform the market. Please check Qantas Airways' information ratio, skewness, as well as the relationship between the Skewness and day typical price , to make a quick decision on whether Qantas Airways' historical price patterns will revert.
Auto-correlation | -0.85 |
Excellent reverse predictability
Qantas Airways Limited has excellent reverse predictability. Overlapping area represents the amount of predictability between Qantas Airways time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd of December 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 Qantas Airways price movement. The serial correlation of -0.85 indicates that around 85.0% of current Qantas Airways price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Qantas Airways lagged returns against current returns
Autocorrelation, which is Qantas Airways 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 Qantas Airways' pink sheet expected returns. We can calculate the autocorrelation of Qantas Airways returns to help us make a trade decision. For example, suppose you find that Qantas Airways 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 |
Qantas Airways 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 Qantas Airways pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qantas Airways pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Qantas Airways pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Qantas Airways Lagged Returns
When evaluating Qantas Airways' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qantas Airways pink sheet have on its future price. Qantas Airways 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, Qantas Airways autocorrelation shows the relationship between Qantas Airways pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Qantas Airways Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Qantas Pink Sheet
Qantas Airways financial ratios help investors to determine whether Qantas 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 Qantas with respect to the benefits of owning Qantas Airways security.