The 2023 Etf Market Value
| QLTI Etf | 23.34 0.06 0.26% |
| Symbol | 2023 |
The market value of 2023 ETF is measured differently than its book value, which is the value of 2023 that is recorded on the company's balance sheet. Investors also form their own opinion of 2023 ETF's value that differs from its market value or its book value, called intrinsic value, which is 2023 ETF'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 2023 ETF's market value can be influenced by many factors that don't directly affect 2023 ETF'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 2023 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if 2023 ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 2023 ETF'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.
2023 ETF '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 2023 ETF'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 2023 ETF.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in 2023 ETF on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding The 2023 ETF or generate 0.0% return on investment in 2023 ETF over 180 days. 2023 ETF is related to or competes with Vanguard International, Vanguard Global, Vanguard High, Vanguard Emerging, and Vanguard FTSE. QLT Inc., a biotechnology company, engages in the development and commercialization of ocular solutions that address the unmet medical needs of patients and clinicians worldwide. More
2023 ETF 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 2023 ETF'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 The 2023 ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 0.9856 |
2023 ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 2023 ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 2023 ETF's standard deviation. In reality, there are many statistical measures that can use 2023 ETF historical prices to predict the future 2023 ETF's volatility.| Risk Adjusted Performance | (0.24) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 12.16 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 2023 ETF'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.
2023 ETF Backtested Returns
2023 ETF secures Sharpe Ratio (or Efficiency) of -0.31, which signifies that the etf had a -0.31% return per unit of volatility over the last 3 months. The 2023 ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 2023 ETF's coefficient of variation of (317.37), and Risk Adjusted Performance of (0.24) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.0259, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning 2023 ETF are expected to decrease at a much lower rate. During the bear market, 2023 ETF is likely to outperform the market.
Auto-correlation | 0.00 |
No correlation between past and present
The 2023 ETF has no correlation between past and present. Overlapping area represents the amount of predictability between 2023 ETF time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th 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 2023 ETF price movement. The serial correlation of 0.0 indicates that just 0.0% of current 2023 ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
2023 ETF lagged returns against current returns
Autocorrelation, which is 2023 ETF 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 2023 ETF's etf expected returns. We can calculate the autocorrelation of 2023 ETF returns to help us make a trade decision. For example, suppose you find that 2023 ETF 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 |
2023 ETF 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 2023 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 2023 ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 2023 ETF etf over time.
Current vs Lagged Prices |
| Timeline |
2023 ETF Lagged Returns
When evaluating 2023 ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 2023 ETF etf have on its future price. 2023 ETF 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, 2023 ETF autocorrelation shows the relationship between 2023 ETF etf current value and its past values and can show if there is a momentum factor associated with investing in The 2023 ETF.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether 2023 ETF offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of 2023 ETF'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 The 2023 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on The 2023 Etf:Check out 2023 ETF Correlation, 2023 ETF Volatility and 2023 ETF Alpha and Beta module to complement your research on 2023 ETF. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
2023 ETF 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.