AALLN 2875 17 MAR 31 Market Value
| 034863BA7 | 84.81 2.94 3.35% |
| Symbol | AALLN |
Please note, there is a significant difference between AALLN's value and its price as these two are different measures arrived at by different means. Investors typically determine if AALLN is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AALLN's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
AALLN '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 AALLN's bond 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 AALLN.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in AALLN on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding AALLN 2875 17 MAR 31 or generate 0.0% return on investment in AALLN over 90 days. AALLN is related to or competes with Maanshan Iron, Insteel Industries, Boot Barn, Vera Bradley, Century Aluminum, and Tandy Leather. More
AALLN 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 AALLN's bond 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 AALLN 2875 17 MAR 31 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 1.77 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.758 |
AALLN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AALLN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AALLN's standard deviation. In reality, there are many statistical measures that can use AALLN historical prices to predict the future AALLN's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | 0.2027 |
AALLN 2875 17 Backtested Returns
AALLN 2875 17 secures Sharpe Ratio (or Efficiency) of -0.21, which signifies that the bond had a -0.21% return per unit of return volatility over the last 3 months. AALLN 2875 17 MAR 31 exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AALLN's Variance of 0.2698, standard deviation of 0.5194, and Mean Deviation of 0.3628 to double-check the risk estimate we provide. The entity shows a Beta (market volatility) of -0.0709, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AALLN are expected to decrease at a much lower rate. During the bear market, AALLN is likely to outperform the market.
Auto-correlation | -0.56 |
Good reverse predictability
AALLN 2875 17 MAR 31 has good reverse predictability. Overlapping area represents the amount of predictability between AALLN time series from 28th of August 2024 to 12th of October 2024 and 12th of October 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 AALLN 2875 17 price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current AALLN price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 1.47 |
AALLN 2875 17 lagged returns against current returns
Autocorrelation, which is AALLN bond'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 AALLN's bond expected returns. We can calculate the autocorrelation of AALLN returns to help us make a trade decision. For example, suppose you find that AALLN has exhibited high autocorrelation historically, and you observe that the bond 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 |
AALLN 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 AALLN bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AALLN bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AALLN bond over time.
Current vs Lagged Prices |
| Timeline |
AALLN Lagged Returns
When evaluating AALLN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AALLN bond have on its future price. AALLN 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, AALLN autocorrelation shows the relationship between AALLN bond current value and its past values and can show if there is a momentum factor associated with investing in AALLN 2875 17 MAR 31.
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.Other Information on Investing in AALLN Bond
AALLN financial ratios help investors to determine whether AALLN Bond 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 AALLN with respect to the benefits of owning AALLN security.