IShares Asia (Australia) Market Value
| IAA Etf | 118.18 1.81 1.56% |
| Symbol | IShares |
IShares Asia '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 IShares Asia's etf 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 IShares Asia.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in IShares Asia on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Asia 50 or generate 0.0% return on investment in IShares Asia over 90 days. IShares Asia is related to or competes with IShares MSCI, IShares CoreSP, IShares SP, IShares SPASX, and IShares Edge. More
IShares Asia 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 IShares Asia's etf 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 iShares Asia 50 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.39 | |||
| Information Ratio | 0.201 | |||
| Maximum Drawdown | 6.58 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 1.92 |
IShares Asia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Asia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Asia's standard deviation. In reality, there are many statistical measures that can use IShares Asia historical prices to predict the future IShares Asia's volatility.| Risk Adjusted Performance | 0.1087 | |||
| Jensen Alpha | 0.1265 | |||
| Total Risk Alpha | 0.2967 | |||
| Sortino Ratio | 0.18 | |||
| Treynor Ratio | (1.07) |
iShares Asia 50 Backtested Returns
Currently, iShares Asia 50 is very steady. iShares Asia 50 holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Asia 50, which you can use to evaluate the volatility of the entity. Please check out IShares Asia's Downside Deviation of 1.39, market risk adjusted performance of (1.06), and Risk Adjusted Performance of 0.1087 to validate if the risk estimate we provide is consistent with the expected return of 0.15%. The etf retains a Market Volatility (i.e., Beta) of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Asia are expected to decrease at a much lower rate. During the bear market, IShares Asia is likely to outperform the market.
Auto-correlation | 0.15 |
Insignificant predictability
iShares Asia 50 has insignificant predictability. Overlapping area represents the amount of predictability between IShares Asia time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of iShares Asia 50 price movement. The serial correlation of 0.15 indicates that less than 15.0% of current IShares Asia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 9.49 |
iShares Asia 50 lagged returns against current returns
Autocorrelation, which is IShares Asia etf'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 IShares Asia's etf expected returns. We can calculate the autocorrelation of IShares Asia returns to help us make a trade decision. For example, suppose you find that IShares Asia has exhibited high autocorrelation historically, and you observe that the etf 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 |
IShares Asia 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 IShares Asia etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Asia etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Asia etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Asia Lagged Returns
When evaluating IShares Asia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Asia etf have on its future price. IShares Asia 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, IShares Asia autocorrelation shows the relationship between IShares Asia etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Asia 50.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out IShares Asia Correlation, IShares Asia Volatility and IShares Asia Alpha and Beta module to complement your research on IShares Asia. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
IShares Asia technical etf 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, etf market cycles, or different charting patterns.