Air China Ltd Stock Market Value
| AIRYY Stock | USD 10.06 0.44 4.19% |
| Symbol | Air |
Air China '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 China'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 China.
| 03/03/2024 |
| 05/02/2024 |
If you would invest 0.00 in Air China on March 3, 2024 and sell it all today you would earn a total of 0.00 from holding Air China Ltd or generate 0.0% return on investment in Air China over 60 days. Air China is related to or competes with Copa Holdings, United Airlines, Delta Air, SkyWest, Allegiant Travel, American Airlines, and Southwest Airlines. Air China Limited, together with its subsidiaries, provides air passenger, air cargo, and airline-related services in Ma... More
Air China 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 China'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 China Ltd upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 12.75 | |||
| Value At Risk | (5.34) | |||
| Potential Upside | 4.32 |
Air China Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Air China's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Air China's standard deviation. In reality, there are many statistical measures that can use Air China historical prices to predict the future Air China's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Air China'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.
Air China Backtested Returns
Air China secures Sharpe Ratio (or Efficiency) of -0.0362, which signifies that the company had a -0.0362% return per unit of risk over the last 3 months. Air China Ltd exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Air China's Mean Deviation of 1.57, standard deviation of 2.65, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.76, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Air China's returns are expected to increase less than the market. However, during the bear market, the loss of holding Air China is expected to be smaller as well. Air China has an expected return of -0.0863%. Please make sure to confirm Air China kurtosis, and the relationship between the treynor ratio and day median price , to decide if Air China performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.54 |
Good reverse predictability
Air China Ltd has good reverse predictability. Overlapping area represents the amount of predictability between Air China time series from 3rd of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 2nd of May 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 China price movement. The serial correlation of -0.54 indicates that about 54.0% of current Air China price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Air China lagged returns against current returns
Autocorrelation, which is Air China 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 China's pink sheet expected returns. We can calculate the autocorrelation of Air China returns to help us make a trade decision. For example, suppose you find that Air China 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 China 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 China pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Air China 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 China pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Air China Lagged Returns
When evaluating Air China's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Air China pink sheet have on its future price. Air China 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 China autocorrelation shows the relationship between Air China pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Air China Ltd.
Regressed Prices |
| Timeline |
Pair Trading with Air China
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Air China position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Air China will appreciate offsetting losses from the drop in the long position's value.Moving together with Air Pink Sheet
| 0.79 | AICAF | Air China Limited | PairCorr |
Moving against Air Pink Sheet
| 0.83 | MDH | MDH Acquisition Corp | PairCorr |
| 0.76 | DAL | Delta Air Lines Sell-off Trend | PairCorr |
| 0.66 | CE | Celanese Financial Report 14th of May 2024 | PairCorr |
| 0.56 | AIV | Apartment Investment and Earnings Call This Week | PairCorr |
| 0.52 | RYAAY | Ryanair Holdings PLC Report 27th of May 2024 | PairCorr |
The ability to find closely correlated positions to Air China could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Air China when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Air China - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Air China Ltd to buy it.
The correlation of Air China is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Air China moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Air China moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Air China can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Air China Correlation, Air China Volatility and Air China Alpha and Beta module to complement your research on Air China. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for Air Pink Sheet analysis
When running Air China's price analysis, check to measure Air China'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 Air China is operating at the current time. Most of Air China's value examination focuses on studying past and present price action to predict the probability of Air China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Air China's price. Additionally, you may evaluate how the addition of Air China to your portfolios can decrease your overall portfolio volatility.
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Air China technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.