Ishares Nasdaq 100 Etf Market Value
| XQQ Etf | CAD 52.61 0.29 0.55% |
| 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.
| 09/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in IShares NASDAQ on September 28, 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 Core, IShares SPTSX, BMO NASDAQ, Vanguard, and Vanguard. The investment seeks to replicate, net of expenses, the NASDAQ 100 Currency Hedged CAD index 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 | 1.26 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.13 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 1.59 |
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 | 0.0684 | |||
| Jensen Alpha | 0.0433 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.2505 |
iShares NASDAQ 100 Backtested Returns
As of now, IShares Etf is very steady. iShares NASDAQ 100 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 thirty technical indicators for iShares NASDAQ 100, which you can use to evaluate the volatility of the entity. Please check out IShares NASDAQ's Downside Deviation of 1.26, market risk adjusted performance of 0.2605, and Risk Adjusted Performance of 0.0684 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The etf retains a Market Volatility (i.e., Beta) of 0.33, which attests to possible diversification benefits within a given portfolio. 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 | 0.58 |
Modest predictability
iShares NASDAQ 100 has modest predictability. Overlapping area represents the amount of predictability between IShares NASDAQ time series from 28th of September 2024 to 28th of October 2024 and 28th of October 2024 to 27th 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 iShares NASDAQ 100 price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current IShares NASDAQ price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
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 |
Pair Trading with IShares NASDAQ
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 NASDAQ 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 NASDAQ will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.99 | XSP | iShares Core SP | PairCorr |
| 0.95 | ZSP | BMO SP 500 | PairCorr |
| 0.95 | VFV | Vanguard SP 500 | PairCorr |
| 0.95 | HXS | Global X SP | PairCorr |
| 0.95 | XUS | iShares Core SP | PairCorr |
Moving against IShares Etf
| 1.0 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.99 | HIU | BetaPro SP 500 | PairCorr |
| 0.93 | HXD | BetaPro SPTSX 60 | PairCorr |
| 0.57 | HED | BetaPro SPTSX Capped | PairCorr |
| 0.41 | HUN | Global X Natural | PairCorr |
The ability to find closely correlated positions to IShares NASDAQ 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 NASDAQ 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 NASDAQ - 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 NASDAQ 100 to buy it.
The correlation of IShares NASDAQ 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 NASDAQ moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares NASDAQ 100 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 NASDAQ 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.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.