Indexiq Active Etf Market Value
| ESGB Etf | USD 21.24 0.04 0.19% |
| 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.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in IndexIQ Active on November 4, 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 30 days. IndexIQ Active is related to or competes with IShares Core, IShares Core, IShares Treasury, IShares 1, and IShares Fallen. The fund invests at least 80 percent of its assets in bonds, which include all types of debt securities 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.
| Information Ratio | (0.44) | |||
| Maximum Drawdown | 1.17 | |||
| Value At Risk | (0.42) | |||
| Potential Upside | 0.4251 |
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 | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.2035 |
IndexIQ Active ETF Backtested Returns
IndexIQ Active ETF holds Efficiency (Sharpe) Ratio of -0.0745, which attests that the entity had a -0.0745% return per unit of risk over the last 3 months. IndexIQ Active ETF exposes twenty-four 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 0.2135, risk adjusted performance of (0.02), and Standard Deviation of 0.2617 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.0545, 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 | -0.5 |
Modest reverse predictability
IndexIQ Active ETF has modest reverse predictability. Overlapping area represents the amount of predictability between IndexIQ Active time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Active ETF price movement. The serial correlation of -0.5 indicates that about 50.0% of current IndexIQ Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether IndexIQ Active ETF is a strong investment it is important to analyze IndexIQ Active's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact IndexIQ Active's future performance. For an informed investment choice regarding IndexIQ Etf, refer to the following important reports: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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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.