Aerospace Industrial (Taiwan) Market Value
| 2634 Stock | TWD 43.30 0.80 1.81% |
| Symbol | Aerospace |
Aerospace Industrial '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 Aerospace Industrial's 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 Aerospace Industrial.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Aerospace Industrial on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Aerospace Industrial Development or generate 0.0% return on investment in Aerospace Industrial over 30 days. Aerospace Industrial is related to or competes with CSBC Corp, Eva Airways, Taiwan High, China Airlines, and Formosa Plastics. Aerospace Industrial Development Corporation engages in the development, manufacturing, integration, assembly, and testi... More
Aerospace Industrial 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 Aerospace Industrial's 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 Aerospace Industrial Development upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 6.21 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 2.46 |
Aerospace Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aerospace Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aerospace Industrial's standard deviation. In reality, there are many statistical measures that can use Aerospace Industrial historical prices to predict the future Aerospace Industrial's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.70) |
Aerospace Industrial Backtested Returns
Aerospace Industrial secures Sharpe Ratio (or Efficiency) of -0.16, which signifies that the company had a -0.16% return per unit of risk over the last 3 months. Aerospace Industrial Development exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aerospace Industrial's Standard Deviation of 1.28, risk adjusted performance of (0.13), and Mean Deviation of 0.9414 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.33, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Aerospace Industrial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Aerospace Industrial is expected to be smaller as well. At this point, Aerospace Industrial has a negative expected return of -0.2%. Please make sure to confirm Aerospace Industrial's information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Aerospace Industrial performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.80 |
Very good predictability
Aerospace Industrial Development has very good predictability. Overlapping area represents the amount of predictability between Aerospace Industrial time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Aerospace Industrial price movement. The serial correlation of 0.8 indicates that around 80.0% of current Aerospace Industrial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
Aerospace Industrial lagged returns against current returns
Autocorrelation, which is Aerospace Industrial 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 Aerospace Industrial's stock expected returns. We can calculate the autocorrelation of Aerospace Industrial returns to help us make a trade decision. For example, suppose you find that Aerospace Industrial has exhibited high autocorrelation historically, and you observe that the 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 |
Aerospace Industrial 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 Aerospace Industrial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aerospace Industrial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aerospace Industrial stock over time.
Current vs Lagged Prices |
| Timeline |
Aerospace Industrial Lagged Returns
When evaluating Aerospace Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aerospace Industrial stock have on its future price. Aerospace Industrial 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, Aerospace Industrial autocorrelation shows the relationship between Aerospace Industrial stock current value and its past values and can show if there is a momentum factor associated with investing in Aerospace Industrial Development.
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 Aerospace Stock Analysis
When running Aerospace Industrial's price analysis, check to measure Aerospace Industrial'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 Aerospace Industrial is operating at the current time. Most of Aerospace Industrial's value examination focuses on studying past and present price action to predict the probability of Aerospace Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aerospace Industrial's price. Additionally, you may evaluate how the addition of Aerospace Industrial to your portfolios can decrease your overall portfolio volatility.