Flexshares Quality Large Etf Market Value
| QLC Etf | USD 55.69 0.48 0.85% |
| Symbol | FlexShares |
The market value of FlexShares Quality Large is measured differently than its book value, which is the value of FlexShares that is recorded on the company's balance sheet. Investors also form their own opinion of FlexShares Quality's value that differs from its market value or its book value, called intrinsic value, which is FlexShares Quality'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 FlexShares Quality's market value can be influenced by many factors that don't directly affect FlexShares Quality'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 FlexShares Quality's value and its price as these two are different measures arrived at by different means. Investors typically determine if FlexShares Quality is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FlexShares Quality'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.
FlexShares Quality '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 FlexShares Quality'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 FlexShares Quality.
| 04/30/2022 |
| 04/19/2024 |
If you would invest 0.00 in FlexShares Quality on April 30, 2022 and sell it all today you would earn a total of 0.00 from holding FlexShares Quality Large or generate 0.0% return on investment in FlexShares Quality over 720 days. FlexShares Quality is related to or competes with Dimensional Targeted, Dimensional World, and Dimensional Small. The underlying index is designed to reflect the performance of a selection of companies that, in aggregate, possess grea... More
FlexShares Quality 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 FlexShares Quality'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 FlexShares Quality Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7029 | |||
| Information Ratio | 0.0344 | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.14 |
FlexShares Quality Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FlexShares Quality's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FlexShares Quality's standard deviation. In reality, there are many statistical measures that can use FlexShares Quality historical prices to predict the future FlexShares Quality's volatility.| Risk Adjusted Performance | 0.0812 | |||
| Jensen Alpha | 0.0251 | |||
| Total Risk Alpha | 0.0148 | |||
| Sortino Ratio | 0.0354 | |||
| Treynor Ratio | 0.0838 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FlexShares Quality'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.
FlexShares Quality Large Backtested Returns
We consider FlexShares Quality very steady. FlexShares Quality Large secures Sharpe Ratio (or Efficiency) of 0.0709, which denotes the etf had a 0.0709% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for FlexShares Quality Large, which you can use to evaluate the volatility of the entity. Please confirm FlexShares Quality's Mean Deviation of 0.5753, downside deviation of 0.7029, and Coefficient Of Variation of 774.77 to check if the risk estimate we provide is consistent with the expected return of 0.0512%. The etf shows a Beta (market volatility) of 1.0, which means possible diversification benefits within a given portfolio. FlexShares Quality returns are very sensitive to returns on the market. As the market goes up or down, FlexShares Quality is expected to follow.
Auto-correlation | 0.36 |
Below average predictability
FlexShares Quality Large has below average predictability. Overlapping area represents the amount of predictability between FlexShares Quality time series from 30th of April 2022 to 25th of April 2023 and 25th of April 2023 to 19th 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 FlexShares Quality Large price movement. The serial correlation of 0.36 indicates that just about 36.0% of current FlexShares Quality price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 16.09 |
FlexShares Quality Large lagged returns against current returns
Autocorrelation, which is FlexShares Quality 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 FlexShares Quality's etf expected returns. We can calculate the autocorrelation of FlexShares Quality returns to help us make a trade decision. For example, suppose you find that FlexShares Quality 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 |
FlexShares Quality 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 FlexShares Quality etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FlexShares Quality etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FlexShares Quality etf over time.
Current vs Lagged Prices |
| Timeline |
FlexShares Quality Lagged Returns
When evaluating FlexShares Quality's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FlexShares Quality etf have on its future price. FlexShares Quality 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, FlexShares Quality autocorrelation shows the relationship between FlexShares Quality etf current value and its past values and can show if there is a momentum factor associated with investing in FlexShares Quality Large.
Regressed Prices |
| Timeline |
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Check out FlexShares Quality Correlation, FlexShares Quality Volatility and FlexShares Quality Alpha and Beta module to complement your research on FlexShares Quality. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
FlexShares Quality 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.