Indexiq Active Etf Market Value
| SECR Etf | 26.10 0.09 0.35% |
| Symbol | IndexIQ |
The market value of IndexIQ Active ETF 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 Active's value that differs from its market value or its book value, called intrinsic value, which is IndexIQ Active'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 Active's market value can be influenced by many factors that don't directly affect IndexIQ Active'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 Active's value and its price as these two are different measures arrived at by different means. Investors typically determine if IndexIQ Active is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IndexIQ Active'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 Active '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 Active'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 Active.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in IndexIQ Active on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding IndexIQ Active ETF or generate 0.0% return on investment in IndexIQ Active over 90 days. IndexIQ Active is related to or competes with SSGA Active, BlackRock Intermediate, IShares BBB, and Xtrackers Short. IndexIQ Active is entity of United States More
IndexIQ Active 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 Active'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 Active ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3314 | |||
| Information Ratio | (0.44) | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.62) | |||
| Potential Upside | 0.4285 |
IndexIQ Active Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IndexIQ Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IndexIQ Active's standard deviation. In reality, there are many statistical measures that can use IndexIQ Active historical prices to predict the future IndexIQ Active's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.41) | |||
| Treynor Ratio | 0.2015 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IndexIQ Active'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 Active ETF Backtested Returns
IndexIQ Active ETF holds Efficiency (Sharpe) Ratio of -0.0083, which attests that the entity had a -0.0083% return per unit of risk over the last 3 months. IndexIQ Active ETF exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IndexIQ Active's Market Risk Adjusted Performance of 0.2115, downside deviation of 0.3314, and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.0473, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IndexIQ Active are expected to decrease at a much lower rate. During the bear market, IndexIQ Active is likely to outperform the market.
Auto-correlation | -0.35 |
Poor reverse predictability
IndexIQ Active ETF has poor reverse predictability. Overlapping area represents the amount of predictability between IndexIQ Active time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th 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 IndexIQ Active ETF price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current IndexIQ Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
IndexIQ Active ETF lagged returns against current returns
Autocorrelation, which is IndexIQ Active 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 Active's etf expected returns. We can calculate the autocorrelation of IndexIQ Active returns to help us make a trade decision. For example, suppose you find that IndexIQ Active 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 Active 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 Active etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IndexIQ Active etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IndexIQ Active etf over time.
Current vs Lagged Prices |
| Timeline |
IndexIQ Active Lagged Returns
When evaluating IndexIQ Active's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IndexIQ Active etf have on its future price. IndexIQ Active 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 Active autocorrelation shows the relationship between IndexIQ Active etf current value and its past values and can show if there is a momentum factor associated with investing in IndexIQ Active ETF.
Regressed Prices |
| Timeline |
Pair Trading with IndexIQ Active
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 Active 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 Active will appreciate offsetting losses from the drop in the long position's value.Moving together with IndexIQ Etf
| 1.0 | IUSB | iShares Core Total | PairCorr |
| 0.94 | FIXD | First Trust TCW | PairCorr |
| 1.0 | FBND | Fidelity Total Bond | PairCorr |
| 0.99 | TOTL | SPDR DoubleLine Total | PairCorr |
| 0.99 | HTRB | Hartford Total Return | PairCorr |
Moving against IndexIQ Etf
| 0.86 | NVDL | GraniteShares 15x Long | PairCorr |
| 0.86 | NVDX | T Rex 2X | PairCorr |
| 0.86 | NVDU | Direxion Daily NVDA | PairCorr |
| 0.73 | CRPT | First Trust SkyBridge | PairCorr |
| 0.73 | WGMI | Valkyrie Bitcoin Miners | PairCorr |
The ability to find closely correlated positions to IndexIQ Active 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 Active 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 Active - 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 Active ETF to buy it.
The correlation of IndexIQ Active 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 Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IndexIQ Active ETF 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 Active 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 Active Correlation, IndexIQ Active Volatility and IndexIQ Active Alpha and Beta module to complement your research on IndexIQ Active. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
IndexIQ Active 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.