Air Lease Preferred Stock Market Value
| AL-PA Preferred Stock | USD 25.09 0.09 0.36% |
| Symbol | Air |
Air Lease '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 Lease's preferred stock 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 Lease.
| 05/01/2024 |
| 05/31/2024 |
If you would invest 0.00 in Air Lease on May 1, 2024 and sell it all today you would earn a total of 0.00 from holding Air Lease or generate 0.0% return on investment in Air Lease over 30 days. Air Lease is related to or competes with Triton International, Triton International, and Costamare. Air Lease Corporation, an aircraft leasing company, engages in the purchase and leasing of commercial jet transport airc... More
Air Lease 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 Lease's preferred stock 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 Lease upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4132 | |||
| Information Ratio | 0.0221 | |||
| Maximum Drawdown | 2.41 | |||
| Value At Risk | (0.59) | |||
| Potential Upside | 0.7525 |
Air Lease Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Air Lease's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Air Lease's standard deviation. In reality, there are many statistical measures that can use Air Lease historical prices to predict the future Air Lease's volatility.| Risk Adjusted Performance | 0.0435 | |||
| Jensen Alpha | 0.0206 | |||
| Total Risk Alpha | 0.0134 | |||
| Sortino Ratio | 0.0218 | |||
| Treynor Ratio | 0.1556 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Air Lease'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 Lease Backtested Returns
We consider Air Lease very steady. Air Lease secures Sharpe Ratio (or Efficiency) of 0.0571, which signifies that the company had a 0.0571% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Air Lease, which you can use to evaluate the volatility of the firm. Please confirm Air Lease's Mean Deviation of 0.2992, downside deviation of 0.4132, and Risk Adjusted Performance of 0.0435 to double-check if the risk estimate we provide is consistent with the expected return of 0.0228%. Air Lease has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Air Lease's returns are expected to increase less than the market. However, during the bear market, the loss of holding Air Lease is expected to be smaller as well. Air Lease right now shows a risk of 0.4%. Please confirm Air Lease total risk alpha, value at risk, expected short fall, as well as the relationship between the treynor ratio and downside variance , to decide if Air Lease will be following its price patterns.
Auto-correlation | 0.60 |
Good predictability
Air Lease has good predictability. Overlapping area represents the amount of predictability between Air Lease time series from 1st of May 2024 to 16th of May 2024 and 16th of May 2024 to 31st 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 Lease price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Air Lease price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Air Lease lagged returns against current returns
Autocorrelation, which is Air Lease preferred stock'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 Lease's preferred stock expected returns. We can calculate the autocorrelation of Air Lease returns to help us make a trade decision. For example, suppose you find that Air Lease has exhibited high autocorrelation historically, and you observe that the preferred stock 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 Lease 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 Lease preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Air Lease preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Air Lease preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Air Lease Lagged Returns
When evaluating Air Lease's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Air Lease preferred stock have on its future price. Air Lease 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 Lease autocorrelation shows the relationship between Air Lease preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Air Lease.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Check out Air Lease Correlation, Air Lease Volatility and Air Lease Alpha and Beta module to complement your research on Air Lease. For information on how to trade Air Preferred Stock refer to our How to Trade Air Preferred Stock guide.You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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When running Air Lease's price analysis, check to measure Air Lease'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 Lease is operating at the current time. Most of Air Lease's value examination focuses on studying past and present price action to predict the probability of Air Lease'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 Lease's price. Additionally, you may evaluate how the addition of Air Lease to your portfolios can decrease your overall portfolio volatility.
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Air Lease technical preferred stock 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, preferred stock market cycles, or different charting patterns.