Indexiq Etf Trust Etf Market Value
| OCEN Etf | USD 20.38 0.19 0.94% |
| Symbol | IndexIQ |
The market value of IndexIQ ETF Trust is measured differently than its book value, which is the value of IndexIQ that is recorded on the company's balance sheet. Investors also form their own opinion of IndexIQ ETF's value that differs from its market value or its book value, called intrinsic value, which is IndexIQ ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IndexIQ ETF's market value can be influenced by many factors that don't directly affect IndexIQ ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IndexIQ ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if IndexIQ ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IndexIQ ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
IndexIQ ETF '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 IndexIQ ETF'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 IndexIQ ETF.
| 04/27/2024 |
| 12/23/2024 |
If you would invest 0.00 in IndexIQ ETF on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding IndexIQ ETF Trust or generate 0.0% return on investment in IndexIQ ETF over 240 days. IndexIQ ETF is related to or competes with IndexIQ ETF, Invesco ESG, Invesco ESG, and Nushares ETF. The manager employs a passive management or indexing investment approach designed to track the performance of the underl... More
IndexIQ ETF 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 IndexIQ ETF'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 IndexIQ ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 4.51 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 0.9892 |
IndexIQ ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IndexIQ ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IndexIQ ETF's standard deviation. In reality, there are many statistical measures that can use IndexIQ ETF historical prices to predict the future IndexIQ ETF's volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.52) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IndexIQ ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
IndexIQ ETF Trust Backtested Returns
IndexIQ ETF 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. IndexIQ ETF Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IndexIQ ETF's Market Risk Adjusted Performance of (0.51), standard deviation of 0.7956, and Risk Adjusted Performance of (0.19) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IndexIQ ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding IndexIQ ETF is expected to be smaller as well.
Auto-correlation | 0.49 |
Average predictability
IndexIQ ETF Trust has average predictability. Overlapping area represents the amount of predictability between IndexIQ ETF time series from 27th of April 2024 to 25th of August 2024 and 25th of August 2024 to 23rd 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 IndexIQ ETF Trust price movement. The serial correlation of 0.49 indicates that about 49.0% of current IndexIQ ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.6 |
IndexIQ ETF Trust lagged returns against current returns
Autocorrelation, which is IndexIQ ETF 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 IndexIQ ETF's etf expected returns. We can calculate the autocorrelation of IndexIQ ETF returns to help us make a trade decision. For example, suppose you find that IndexIQ ETF 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 |
IndexIQ ETF 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 IndexIQ ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IndexIQ ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IndexIQ ETF etf over time.
Current vs Lagged Prices |
| Timeline |
IndexIQ ETF Lagged Returns
When evaluating IndexIQ ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IndexIQ ETF etf have on its future price. IndexIQ ETF 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, IndexIQ ETF autocorrelation shows the relationship between IndexIQ ETF etf current value and its past values and can show if there is a momentum factor associated with investing in IndexIQ ETF Trust.
Regressed Prices |
| Timeline |
Pair Trading with IndexIQ ETF
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 IndexIQ ETF 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 IndexIQ ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with IndexIQ Etf
Moving against IndexIQ Etf
| 0.82 | IPAY | Amplify ETF Trust | PairCorr |
| 0.82 | ARKW | ARK Next Generation | PairCorr |
| 0.7 | WTMF | WisdomTree Managed | PairCorr |
| 0.6 | BOTZ | Global X Robotics | PairCorr |
| 0.36 | DRIV | Global X Autonomous | PairCorr |
The ability to find closely correlated positions to IndexIQ ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IndexIQ ETF 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 IndexIQ ETF - 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 IndexIQ ETF Trust to buy it.
The correlation of IndexIQ ETF 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 IndexIQ ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IndexIQ ETF 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 IndexIQ ETF 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.Check out IndexIQ ETF Correlation, IndexIQ ETF Volatility and IndexIQ ETF Alpha and Beta module to complement your research on IndexIQ ETF. To learn how to invest in IndexIQ Etf, please use our How to Invest in IndexIQ ETF guide.You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
IndexIQ ETF 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.