Iq Merger Arbitrage Etf Market Value
| MNA Etf | USD 32.87 0.01 0.03% |
| Symbol | MNA |
The market value of IQ Merger Arbitrage is measured differently than its book value, which is the value of MNA that is recorded on the company's balance sheet. Investors also form their own opinion of IQ Merger's value that differs from its market value or its book value, called intrinsic value, which is IQ Merger'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 Merger's market value can be influenced by many factors that don't directly affect IQ Merger'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 Merger's value and its price as these two are different measures arrived at by different means. Investors typically determine if IQ Merger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IQ Merger'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 Merger '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 Merger'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 Merger.
| 12/28/2022 |
| 12/17/2024 |
If you would invest 0.00 in IQ Merger on December 28, 2022 and sell it all today you would earn a total of 0.00 from holding IQ Merger Arbitrage or generate 0.0% return on investment in IQ Merger over 720 days. IQ Merger is related to or competes with ProShares Hedge, ProShares Global, ProShares Investment, and ProShares. The fund invests at least 80 percent of its net assets, plus the amount of any borrowings for investment purposes, in th... More
IQ Merger 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 Merger'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 Merger Arbitrage upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1928 | |||
| Information Ratio | (0.47) | |||
| Maximum Drawdown | 0.8217 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.2134 |
IQ Merger Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IQ Merger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IQ Merger's standard deviation. In reality, there are many statistical measures that can use IQ Merger historical prices to predict the future IQ Merger's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.43) | |||
| Treynor Ratio | (1.20) |
IQ Merger Arbitrage Backtested Returns
IQ Merger Arbitrage retains Efficiency (Sharpe Ratio) of -0.024, which attests that the entity had a -0.024% return per unit of price deviation over the last 3 months. IQ Merger exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IQ Merger's Semi Deviation of 0.1649, standard deviation of 0.1747, and Market Risk Adjusted Performance of (1.19) to validate the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.0063, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IQ Merger's returns are expected to increase less than the market. However, during the bear market, the loss of holding IQ Merger is expected to be smaller as well.
Auto-correlation | -0.08 |
Very weak reverse predictability
IQ Merger Arbitrage has very weak reverse predictability. Overlapping area represents the amount of predictability between IQ Merger time series from 28th of December 2022 to 23rd of December 2023 and 23rd of December 2023 to 17th 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 IQ Merger Arbitrage price movement. The serial correlation of -0.08 indicates that barely 8.0% of current IQ Merger price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.54 |
IQ Merger Arbitrage lagged returns against current returns
Autocorrelation, which is IQ Merger 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 Merger's etf expected returns. We can calculate the autocorrelation of IQ Merger returns to help us make a trade decision. For example, suppose you find that IQ Merger 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 Merger 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 Merger etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IQ Merger etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IQ Merger etf over time.
Current vs Lagged Prices |
| Timeline |
IQ Merger Lagged Returns
When evaluating IQ Merger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IQ Merger etf have on its future price. IQ Merger 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 Merger autocorrelation shows the relationship between IQ Merger etf current value and its past values and can show if there is a momentum factor associated with investing in IQ Merger Arbitrage.
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 IQ Merger Arbitrage offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IQ Merger's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Iq Merger Arbitrage Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Iq Merger Arbitrage Etf:Check out IQ Merger Correlation, IQ Merger Volatility and IQ Merger Alpha and Beta module to complement your research on IQ Merger. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
IQ Merger 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.