IShares NASDAQ (Netherlands) Market Value
CNDX Etf | EUR 1,176 2.00 0.17% |
Symbol | IShares |
IShares NASDAQ '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 NASDAQ'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 NASDAQ.
10/23/2024 |
| 12/22/2024 |
If you would invest 0.00 in IShares NASDAQ on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding iShares NASDAQ 100 or generate 0.0% return on investment in IShares NASDAQ over 60 days. IShares NASDAQ is related to or competes with IShares III, IShares Core, IShares France, IShares Core, and IShares STOXX. The investment objective of the Fund is to deliver the net total return performance of the Reference Index , less the fe... More
IShares NASDAQ 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 NASDAQ'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 NASDAQ 100 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.06 | |||
Information Ratio | 0.2097 | |||
Maximum Drawdown | 6.32 | |||
Value At Risk | (1.84) | |||
Potential Upside | 1.35 |
IShares NASDAQ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares NASDAQ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares NASDAQ's standard deviation. In reality, there are many statistical measures that can use IShares NASDAQ historical prices to predict the future IShares NASDAQ's volatility.Risk Adjusted Performance | 0.1944 | |||
Jensen Alpha | 0.2176 | |||
Total Risk Alpha | 0.1964 | |||
Sortino Ratio | 0.1889 | |||
Treynor Ratio | 0.8822 |
iShares NASDAQ 100 Backtested Returns
IShares NASDAQ appears to be very steady, given 3 months investment horizon. iShares NASDAQ 100 holds Efficiency (Sharpe) Ratio of 0.23, which attests that the entity had a 0.23% return per unit of risk over the last 3 months. We have found thirty technical indicators for iShares NASDAQ 100, which you can use to evaluate the volatility of the entity. Please utilize IShares NASDAQ's Risk Adjusted Performance of 0.1944, market risk adjusted performance of 0.8922, and Downside Deviation of 1.06 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares NASDAQ's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares NASDAQ is expected to be smaller as well.
Auto-correlation | 0.69 |
Good predictability
iShares NASDAQ 100 has good predictability. Overlapping area represents the amount of predictability between IShares NASDAQ time series from 23rd of October 2024 to 22nd of November 2024 and 22nd of November 2024 to 22nd 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 NASDAQ 100 price movement. The serial correlation of 0.69 indicates that around 69.0% of current IShares NASDAQ price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.69 | |
Spearman Rank Test | 0.74 | |
Residual Average | 0.0 | |
Price Variance | 536.97 |
iShares NASDAQ 100 lagged returns against current returns
Autocorrelation, which is IShares NASDAQ 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 NASDAQ's etf expected returns. We can calculate the autocorrelation of IShares NASDAQ returns to help us make a trade decision. For example, suppose you find that IShares NASDAQ 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 NASDAQ 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 NASDAQ etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares NASDAQ etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares NASDAQ etf over time.
Current vs Lagged Prices |
Timeline |
IShares NASDAQ Lagged Returns
When evaluating IShares NASDAQ's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares NASDAQ etf have on its future price. IShares NASDAQ 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 NASDAQ autocorrelation shows the relationship between IShares NASDAQ etf current value and its past values and can show if there is a momentum factor associated with investing in iShares NASDAQ 100.
Regressed Prices |
Timeline |
Thematic Opportunities
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Other Information on Investing in IShares Etf
IShares NASDAQ financial ratios help investors to determine whether IShares Etf 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 IShares with respect to the benefits of owning IShares NASDAQ security.