Qantas Airways Ltd Stock Market Value
| QABSY Stock | USD 28.74 0.66 2.24% |
| 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.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Qantas Airways on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Qantas Airways Ltd or generate 0.0% return on investment in Qantas Airways over 30 days. Qantas Airways is related to or competes with EasyJet Plc, Norse Atlantic, Air New, Air China, Air France-KLM, AirAsia Group, 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 Ltd upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.65 | |||
| Information Ratio | 0.2398 | |||
| Maximum Drawdown | 7.86 | |||
| Value At Risk | (2.43) | |||
| Potential Upside | 3.15 |
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 | 0.2365 | |||
| Jensen Alpha | 0.5427 | |||
| Total Risk Alpha | 0.2901 | |||
| Sortino Ratio | 0.2537 | |||
| Treynor Ratio | (2.03) |
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 very steady, given 3 months investment horizon. Qantas Airways maintains Sharpe Ratio (i.e., Efficiency) of 0.26, which implies the firm had a 0.26% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Qantas Airways, which you can use to evaluate the volatility of the company. Please evaluate Qantas Airways' Risk Adjusted Performance of 0.2365, semi deviation of 1.16, and Coefficient Of Variation of 330.42 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 20. The company holds a Beta of -0.25, which implies not very significant fluctuations relative to the market. 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' value at risk, as well as the relationship between the kurtosis and market facilitation index , to make a quick decision on whether Qantas Airways' historical price patterns will revert.
Auto-correlation | 0.40 |
Average predictability
Qantas Airways Ltd has average predictability. Overlapping area represents the amount of predictability between Qantas Airways time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Qantas Airways price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Qantas Airways price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
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 Ltd.
Regressed Prices |
| Timeline |
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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 Qantas Pink Sheet Analysis
When running Qantas Airways' price analysis, check to measure Qantas Airways' 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 Qantas Airways is operating at the current time. Most of Qantas Airways' value examination focuses on studying past and present price action to predict the probability of Qantas Airways' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qantas Airways' price. Additionally, you may evaluate how the addition of Qantas Airways to your portfolios can decrease your overall portfolio volatility.