IShares Trust (Chile) Market Value
IYWCL Etf | 157,919 2,271 1.46% |
Symbol | IShares |
IShares Trust '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 Trust'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 Trust.
11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in IShares Trust on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Trust or generate 0.0% return on investment in IShares Trust over 30 days.
IShares Trust 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 Trust'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 Trust upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.42 | |||
Information Ratio | 0.1144 | |||
Maximum Drawdown | 5.72 | |||
Value At Risk | (1.89) | |||
Potential Upside | 1.97 |
IShares Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Trust's standard deviation. In reality, there are many statistical measures that can use IShares Trust historical prices to predict the future IShares Trust's volatility.Risk Adjusted Performance | 0.1725 | |||
Jensen Alpha | 0.201 | |||
Total Risk Alpha | 0.0734 | |||
Sortino Ratio | 0.0939 | |||
Treynor Ratio | 0.6103 |
iShares Trust Backtested Returns
IShares Trust appears to be very steady, given 3 months investment horizon. iShares Trust holds Efficiency (Sharpe) Ratio of 0.25, which attests that the entity had a 0.25% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Trust, which you can use to evaluate the volatility of the entity. Please utilize IShares Trust's Downside Deviation of 1.42, risk adjusted performance of 0.1725, and Market Risk Adjusted Performance of 0.6203 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.41, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Trust is expected to be smaller as well.
Auto-correlation | 0.54 |
Modest predictability
iShares Trust has modest predictability. Overlapping area represents the amount of predictability between IShares Trust time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 iShares Trust price movement. The serial correlation of 0.54 indicates that about 54.0% of current IShares Trust price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.54 | |
Spearman Rank Test | 0.34 | |
Residual Average | 0.0 | |
Price Variance | 3.6 M |
iShares Trust lagged returns against current returns
Autocorrelation, which is IShares Trust 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 Trust's etf expected returns. We can calculate the autocorrelation of IShares Trust returns to help us make a trade decision. For example, suppose you find that IShares Trust 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 Trust 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 Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Trust etf over time.
Current vs Lagged Prices |
Timeline |
IShares Trust Lagged Returns
When evaluating IShares Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Trust etf have on its future price. IShares Trust 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 Trust autocorrelation shows the relationship between IShares Trust etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Trust .
Regressed Prices |
Timeline |
Pair Trading with IShares Trust
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 IShares Trust 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 IShares Trust will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
The ability to find closely correlated positions to IShares Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares Trust 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 IShares Trust - 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 iShares Trust to buy it.
The correlation of IShares Trust 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 IShares Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Trust 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 IShares Trust 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.