Iq Hedge Multi Strategy Etf Market Value
| QAI Etf | USD 30.61 0.04 0.13% |
| Symbol | QAI |
The market value of IQ Hedge Multi is measured differently than its book value, which is the value of QAI that is recorded on the company's balance sheet. Investors also form their own opinion of IQ Hedge's value that differs from its market value or its book value, called intrinsic value, which is IQ Hedge'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 IQ Hedge's market value can be influenced by many factors that don't directly affect IQ Hedge'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 IQ Hedge's value and its price as these two are different measures arrived at by different means. Investors typically determine if IQ Hedge is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IQ Hedge'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.
IQ Hedge '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 IQ Hedge'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 IQ Hedge.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in IQ Hedge on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding IQ Hedge Multi Strategy or generate 0.0% return on investment in IQ Hedge over 30 days. IQ Hedge is related to or competes with ProShares Merger, ProShares Large, IQ Merger, and ProShares Inflation. The fund is a fund of funds which means it invests, under normal circumstances, at least 80 percent of its net assets, p... More
IQ Hedge 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 IQ Hedge'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 IQ Hedge Multi Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.295 | |||
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 1.43 | |||
| Value At Risk | (0.43) | |||
| Potential Upside | 0.4346 |
IQ Hedge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IQ Hedge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IQ Hedge's standard deviation. In reality, there are many statistical measures that can use IQ Hedge historical prices to predict the future IQ Hedge's volatility.| Risk Adjusted Performance | 0.0621 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.0694 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IQ Hedge'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.
IQ Hedge Multi Backtested Returns
We consider IQ Hedge very steady. IQ Hedge Multi retains Efficiency (Sharpe Ratio) of 0.0982, which attests that the entity had a 0.0982% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for IQ Hedge, which you can use to evaluate the volatility of the entity. Please check out IQ Hedge's Market Risk Adjusted Performance of 0.0794, standard deviation of 0.2748, and Semi Deviation of 0.1902 to validate if the risk estimate we provide is consistent with the expected return of 0.0275%. The etf owns a Beta (Systematic Risk) of 0.33, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IQ Hedge's returns are expected to increase less than the market. However, during the bear market, the loss of holding IQ Hedge is expected to be smaller as well.
Auto-correlation | -0.24 |
Weak reverse predictability
IQ Hedge Multi Strategy has weak reverse predictability. Overlapping area represents the amount of predictability between IQ Hedge time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 IQ Hedge Multi price movement. The serial correlation of -0.24 indicates that over 24.0% of current IQ Hedge price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
IQ Hedge Multi lagged returns against current returns
Autocorrelation, which is IQ Hedge 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 IQ Hedge's etf expected returns. We can calculate the autocorrelation of IQ Hedge returns to help us make a trade decision. For example, suppose you find that IQ Hedge 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 |
IQ Hedge 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 IQ Hedge etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IQ Hedge etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IQ Hedge etf over time.
Current vs Lagged Prices |
| Timeline |
IQ Hedge Lagged Returns
When evaluating IQ Hedge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IQ Hedge etf have on its future price. IQ Hedge 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, IQ Hedge autocorrelation shows the relationship between IQ Hedge etf current value and its past values and can show if there is a momentum factor associated with investing in IQ Hedge Multi Strategy.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IQ Hedge in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IQ Hedge's short interest history, or implied volatility extrapolated from IQ Hedge options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as IQ Hedge Multi using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out IQ Hedge Correlation, IQ Hedge Volatility and IQ Hedge Alpha and Beta module to complement your research on IQ Hedge. Note that the IQ Hedge Multi information on this page should be used as a complementary analysis to other IQ Hedge's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
IQ Hedge 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.