Exchange Listed Funds Etf Market Value
| LQAI Etf | 34.98 0.19 0.54% |
| Symbol | Exchange |
The market value of Exchange Listed Funds is measured differently than its book value, which is the value of Exchange that is recorded on the company's balance sheet. Investors also form their own opinion of Exchange Listed's value that differs from its market value or its book value, called intrinsic value, which is Exchange Listed'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 Exchange Listed's market value can be influenced by many factors that don't directly affect Exchange Listed'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 Exchange Listed's value and its price as these two are different measures arrived at by different means. Investors typically determine if Exchange Listed is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Exchange Listed'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.
Exchange Listed '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 Exchange Listed'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 Exchange Listed.
| 08/30/2024 |
| 11/28/2024 |
If you would invest 0.00 in Exchange Listed on August 30, 2024 and sell it all today you would earn a total of 0.00 from holding Exchange Listed Funds or generate 0.0% return on investment in Exchange Listed over 90 days. Exchange Listed is related to or competes with JPMorgan BetaBuilders, JPMorgan Core, JPMorgan BetaBuilders, and JPMorgan Emerging. Exchange Listed is entity of United States More
Exchange Listed 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 Exchange Listed'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 Exchange Listed Funds upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7468 | |||
| Information Ratio | 0.0591 | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.24 |
Exchange Listed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Exchange Listed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exchange Listed's standard deviation. In reality, there are many statistical measures that can use Exchange Listed historical prices to predict the future Exchange Listed's volatility.| Risk Adjusted Performance | 0.1721 | |||
| Jensen Alpha | 0.0646 | |||
| Total Risk Alpha | 0.0429 | |||
| Sortino Ratio | 0.0623 | |||
| Treynor Ratio | 0.1965 |
Exchange Listed Funds Backtested Returns
Exchange Listed is very steady at the moment. Exchange Listed Funds secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the etf had a 0.21% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Exchange Listed Funds, which you can use to evaluate the volatility of the entity. Please confirm Exchange Listed's Downside Deviation of 0.7468, semi deviation of 0.474, and Mean Deviation of 0.5713 to check if the risk estimate we provide is consistent with the expected return of 0.16%. The etf shows a Beta (market volatility) of 0.85, which means possible diversification benefits within a given portfolio. As returns on the market increase, Exchange Listed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Exchange Listed is expected to be smaller as well.
Auto-correlation | 0.63 |
Good predictability
Exchange Listed Funds has good predictability. Overlapping area represents the amount of predictability between Exchange Listed time series from 30th of August 2024 to 14th of October 2024 and 14th of October 2024 to 28th 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 Exchange Listed Funds price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current Exchange Listed price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.66 |
Exchange Listed Funds lagged returns against current returns
Autocorrelation, which is Exchange Listed 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 Exchange Listed's etf expected returns. We can calculate the autocorrelation of Exchange Listed returns to help us make a trade decision. For example, suppose you find that Exchange Listed 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 |
Exchange Listed 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 Exchange Listed etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Exchange Listed etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Exchange Listed etf over time.
Current vs Lagged Prices |
| Timeline |
Exchange Listed Lagged Returns
When evaluating Exchange Listed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Exchange Listed etf have on its future price. Exchange Listed 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, Exchange Listed autocorrelation shows the relationship between Exchange Listed etf current value and its past values and can show if there is a momentum factor associated with investing in Exchange Listed Funds.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Exchange Listed Funds offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Exchange Listed'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 Exchange Listed Funds Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Exchange Listed Funds Etf:Check out Exchange Listed Correlation, Exchange Listed Volatility and Exchange Listed Alpha and Beta module to complement your research on Exchange Listed. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Exchange Listed 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.