Air New Zealand Stock Market Value
| ANZFF Stock | USD 0.31 0.02 6.90% |
| Symbol | Air |
Air New '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 Air New'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 Air New.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Air New on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Air New Zealand or generate 0.0% return on investment in Air New over 30 days. Air New is related to or competes with AirAsia Group, ANA Holdings, Air France-KLM, Air New, Finnair Oyj, EasyJet Plc, and Norse Atlantic. Air New Zealand Limited provides passenger and cargo transportation services on scheduled airlines primarily in New Zeal... More
Air New 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 Air New'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 Air New Zealand upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 18.75 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 6.06 |
Air New Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Air New's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Air New's standard deviation. In reality, there are many statistical measures that can use Air New historical prices to predict the future Air New's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.60) | |||
| Treynor Ratio | (0.06) |
Air New Zealand Backtested Returns
Air New Zealand secures Sharpe Ratio (or Efficiency) of -0.0137, which signifies that the company had a -0.0137% return per unit of risk over the last 3 months. Air New Zealand exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Air New's Mean Deviation of 1.67, standard deviation of 3.23, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.54, which signifies 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, Air New will likely underperform. At this point, Air New Zealand has a negative expected return of -0.0451%. Please make sure to confirm Air New's potential upside, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Air New Zealand performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.51 |
Good reverse predictability
Air New Zealand has good reverse predictability. Overlapping area represents the amount of predictability between Air New time series from 27th of October 2024 to 11th of November 2024 and 11th of November 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 Air New Zealand price movement. The serial correlation of -0.51 indicates that about 51.0% of current Air New price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Air New Zealand lagged returns against current returns
Autocorrelation, which is Air New 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 Air New's pink sheet expected returns. We can calculate the autocorrelation of Air New returns to help us make a trade decision. For example, suppose you find that Air New 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 |
Air New 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 Air New pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Air New pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Air New pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Air New Lagged Returns
When evaluating Air New's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Air New pink sheet have on its future price. Air New 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, Air New autocorrelation shows the relationship between Air New pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Air New Zealand.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Air Pink Sheet
Air New financial ratios help investors to determine whether Air 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 Air with respect to the benefits of owning Air New security.